Advisories

Sep 2021

Code Injection in pac-resolver

This affects the package pac-resolver This can occur when used with untrusted input, due to unsafe PAC file handling. NOTE: The fix for this vulnerability is applied in the node-degenerator library, a dependency written by the same maintainer.

Weak Password Recovery Mechanism for Forgotten Password

Akaunting version 2.1.12 and earlier suffers from a password reset spoofing vulnerability, wherein an attacker can proxy password reset requests through a running Akaunting instance, if that attacker knows the target's e-mail address. This issue was fixed in version 2.1.13 of the product. Please note that this issue is ultimately caused by the defaults provided by the Laravel framework, specifically how proxy headers are handled with respect to multi-tenant implementations. …

Prototype Pollution

This affects all versions of package Proto. It is possible to inject pollute the object property of an application using Proto by leveraging the merge function.

Path Traversal

The renderWidgetResource resource in Atlasian Atlasboard allows remote attackers to read arbitrary files via a path traversal vulnerability.

Improper Input Validation

This affects all versions of package elFinder.NetCore. The Path.Combine(…) method is used to create an absolute file path. Due to missing sanitation of the user input and a missing check of the generated path its possible to escape the Files directory via path traversal

Exposure of Resource to Wrong Sphere

In Eclipse Theia to, the mini-browser extension allows a user to preview HTML files in an iframe inside the IDE. But with the way it is made it is possible for a previewed HTML file to trigger an RCE. This exploit only happens if a user previews a malicious file.

Deserialization of Untrusted Data

Neo4j through 3.4.18 (with the shell server enabled) exposes an RMI service that arbitrarily deserializes Java objects, e.g., through setSessionVariable. An attacker can abuse this for remote code execution because there are dependencies with exploitable gadget chains.

Deserialization of Untrusted Data

Rundeck is an open source automation service with a web console, command line tools and a WebAPI. Prior to version 3.3.14 and version 3.4.3, an authorized user can upload a zip-format plugin with a crafted plugin.yaml, or a crafted aclpolicy yaml file, or upload an untrusted project archive with a crafted aclpolicy yaml file, that can cause the server to run untrusted code on Rundeck Community or Enterprise Edition. An …

Cross-site Scripting

Text-values were not properly escaped before printed in the version preview. This allowed XSS by authenticated users with access to the resources. This issue is patched in Pimcore

Cross-site Scripting

Pimcore is an open source data & experience management platform. An authenticated user could add XSS code as a value of custom metadata on assets. There is a patch for this issue in Pimcore As a workaround, users may apply the patch manually.

Cross-Site Request Forgery (CSRF)

Rundeck is an open source automation service with a web console, command line tools and a WebAPI. Prior to version 3.3.14 and version 3.4.3, a user with admin access to the system resource type is potentially vulnerable to a CSRF attack that could cause the server to run untrusted code on all Rundeck editions. Patches are available in Rundeck versions 3.4.3 and 3.3.14.

Access of Resource Using Incompatible Type (Type Confusion)

This affects the package mpath A type confusion vulnerability can lead to a bypass of CVE-2018-16490. In particular, the condition ignoreProperties.indexOf(parts[i]) !== -1 returns -1 if parts[i] is ['proto']. This is because the method that has been called if the input is an array is Array.prototype.indexOf() and not String.prototype.indexOf(). They behave differently depending on the type of the input.

Access of Resource Using Incompatible Type (Type Confusion)

A type confusion vulnerability can lead to a bypass of CVE-2020-28477 when the user-provided keys used in the path parameter are arrays. In particular, this bypass is possible because the condition (p === "proto" || p === "constructor") in applyPatches_ returns false if p is ['proto'] (or ['constructor']). The === operator (strict equality operator) returns false if the operands have different type.

Aug 2021

UNIX Symbolic Link (Symlink) Following

@npmcli/arborist, the library that calculates dependency trees and manages the node_modules folder hierarchy for the npm command line interface, aims to guarantee that package dependency contracts will be met, and the extraction of package contents will always be performed into the expected folder.

UNIX Symbolic Link (Symlink) Following

@npmcli/arborist, the library that calculates dependency trees and manages the node_modules folder hierarchy for the npm command line interface, aims to guarantee that package dependency contracts will be met, and the extraction of package contents will always be performed into the expected folder. This is accomplished by extracting package contents into a project's node_modules folder. If the node_modules folder of the root project or any of its dependencies is somehow …

UNIX Symbolic Link (Symlink) Following

@npmcli/arborist, the library that calculates dependency trees and manages the node_modules folder hierarchy for the npm command line interface, aims to guarantee that package dependency contracts will be met, and the extraction of package contents will always be performed into the expected folder.

Path Traversal

This npm package has an arbitrary file creation/overwrite and arbitrary code execution vulnerability. node-tar aims to guarantee that any file whose location would be modified by a symbolic link is not extracted.

Information Exposure

Matrix is an ecosystem for open federated Instant Messaging and Voice over IP. Unauthorised users can access the membership (list of members, with their display names) of a room if they know the ID of the room. The vulnerability is limited to rooms with shared history visibility.

Information Exposure

Matrix is an ecosystem for open federated Instant Messaging and Voice over IP. and prior, unauthorised users can access the name, avatar, topic and number of members of a room if they know the ID of the room. This vulnerability is limited to homeservers where the vulnerable homeserver is in the room and untrusted users are permitted to create groups (communities).

Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')

The npm package "tar" (aka node-tar) has an arbitrary file creation/overwrite and arbitrary code execution vulnerability. node-tar aims to guarantee that any file whose location would be modified by a symbolic link is not extracted. This is, in part, achieved by ensuring that extracted directories are not symlinks. Additionally, in order to prevent unnecessary stat calls to determine whether a given path is a directory, paths are cached when directories …

Unauthorized property update in CheckboxGroup component in Vaadin 12-14 and 15-20

Improper check in CheckboxGroup in com.vaadin:vaadin-checkbox-flow versions 1.2.0 prior to 2.0.0 (Vaadin 12.0.0 prior to 14.0.0), 2.0.0 prior to 3.0.0 (Vaadin 14.0.0 prior to 14.5.0), 3.0.0 through 4.0.1 (Vaadin 15.0.0 through 17.0.11), 14.5.0 through 14.6.7 (Vaadin 14.5.0 through 14.6.7), and 18.0.0 through 20.0.5 (Vaadin 18.0.0 through 20.0.5) allows attackers to modify the value of a disabled Checkbox inside enabled CheckboxGroup component via unspecified vectors. https://vaadin.com/security/cve-2021-33605

Interpretation Conflict

go-ethereum is the official Go implementation of the Ethereum protocol. In affected versions a consensus-vulnerability in go-ethereum (Geth) could cause a chain split, where vulnerable versions refuse to accept the canonical chain. Further details about the vulnerability will be disclosed at a later date. A patch is included in the upcoming v1.10.8 release. No workaround are available.

Incorrect Type Conversion or Cast

Cachet is an open source status page system. Prior to version 2.5.1 authenticated users, regardless of their privileges (User or Admin), can trick Cachet and install the instance again, leading to arbitrary code execution on the server. This issue was addressed in version 2.5.1 by improving the middleware ReadyForUse, which now performs a stricter validation of the instance name. As a workaround, only allow trusted source IP addresses to access …

Incorrect Authorization

Istio is an open source platform for providing a uniform way to integrate microservices, manage traffic flow across microservices, enforce policies and aggregate telemetry data. Istio 1.11.0, 1.10.3 and below, and 1.9.7 and below contain a remotely exploitable vulnerability where an HTTP request with #fragment in the path may bypass Istio’s URI path based authorization policies. Patches are available in Istio 1.11.1, Istio 1.10.4 and Istio 1.9.8. As a work …

Improper Privilege Management

OpenZepplin is a library for smart contract development.Further details about the vulnerability will be disclosed at a later date. As a workaround revoke the executor role from accounts not strictly under the team's control. We recommend revoking all executors that are not also proposers. When applying this mitigation, ensure there is at least one proposer and executor remaining.

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

Cachet is an open source status page. With Cachet prior to and including 2.3.18, there is a SQL injection which is in the SearchableTrait#scopeSearch(). Attackers without authentication can utilize this vulnerability to exfiltrate sensitive data from the database such as administrator's password and session. The original repository of Cachet https://github.com/CachetHQ/Cachet is not active, the stable version 2.3.18 and it's developing 2.4 branch is affected.

Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')

MockServer is open source software which enables easy mocking of any system you integrate with via HTTP or HTTPS. An attacker that can trick a victim into visiting a malicious site while running MockServer locally, will be able to run arbitrary code on the MockServer machine. With an overly broad default CORS configuration MockServer allows any site to send cross-site requests. Additionally, MockServer allows you to create dynamic expectations using …

Improper Neutralization of CRLF Sequences ('CRLF Injection')

Cachet is an open source status page system. Prior to version 2.5.1, authenticated users, regardless of their privileges (User or Admin), can exploit a new line injection in the configuration edition feature (e.g. mail settings) and gain arbitrary code execution on the server. This issue was addressed in version 2.5.1 by improving UpdateConfigCommandHandler and preventing the use of new lines characters in new configuration values. As a workaround, only allow …

Improper Input Validation

OpenMage magento-lts is an alternative to the Magento CE official releases. Due to missing sanitation in data flow in versions prior to 19.4.15 and 20.0.13, it was possible for admin users to upload arbitrary executable files to the server. OpenMage versions 19.4.15 and 20.0.13 have a patch for this Issue.

Improper Handling of Case Sensitivity

Istio is an open source platform for providing a uniform way to integrate microservices, manage traffic flow across microservices, enforce policies and aggregate telemetry data. According to RFC 4343, Istio authorization policy should compare the hostname in the HTTP Host header in a case insensitive way, but currently the comparison is case sensitive. The proxy will route the request hostname in a case-insensitive way which means the authorization policy could …

Improper Authentication

octobercms in a CMS platform based on the Laravel PHP Framework. In affected versions of the october/system package an attacker can request an account password reset and then gain access to the account using a specially crafted request. The issue has been patched in Build 472 and v1.1.5.

Improper Authentication

octobercms in a CMS platform based on the Laravel PHP Framework. In affected versions of the october/system package an attacker can exploit this vulnerability to bypass authentication and takeover of and user account on an October CMS server. The vulnerability is exploitable by unauthenticated users via a specially crafted request. This only affects frontend users and the attacker must obtain a Laravel secret key for cookie encryption and signing in …

Failure to Sanitize Special Elements into a Different Plane (Special Element Injection)

Cachet is an open source status page system. Prior to version 2.5.1, authenticated users, regardless of their privileges (User or Admin), can leak the value of any configuration entry of the dotenv file, e.g. the application secret (APP_KEY) and various passwords (email, database, etc). This issue was addressed in version 2.5.1 by improving UpdateConfigCommandHandler and preventing the use of nested variables in the resulting dotenv configuration file. As a workaround, …

Cross-site Scripting

Mautic is vulnerable to an inline JS XSS attack through the contact's first or last name and triggered when viewing a contact's details page then clicking on the action drop down and hovering over the Campaigns button. Contact first and last name can be populated from different sources such as UI, API, 3rd party syncing, forms, etc.

Cross-site Scripting

Insufficient sanitization / filtering allows for arbitrary JavaScript Injection in Mautic using the bounce management callback function. An attacker with access to the bounce management callback function (identified with the Mailjet webhook, but it is assumed this will work uniformly across all kinds of webhooks) can inject arbitrary JavaScript Code into the error and error_related_to parameters of the POST request (POST /mailer/<product / webhook>/callback). It is noted that there is …

Cross-site Scripting

There is an XSS vulnerability on Mautic's password reset page where a vulnerable parameter bundle in the URL could allow an attacker to execute Javascript code. The attacker would be required to convince or trick the target into clicking a password reset URL with the vulnerable parameter utilized.

Cross-site Scripting

Mautic is vulnerable to an inline JS XSS attack when viewing Mautic assets by utilizing inline JS in the title and adding a broken image URL as a remote asset. This can only be leveraged by an authenticated user with permission to create or edit assets.

Code Injection

Total.js framework (npm package total.js) is a framework for Node.js platfrom written in pure JavaScript similar to PHP's Laravel or Python's Django or ASP.NET MVC. In total.js framework, calling the utils.set function with user-controlled values leads to code-injection. This can cause a variety of impacts that include arbitrary code execution. This is fixed

Improper Privilege Management

OpenZepplin is a library for smart contract development. Further details about the vulnerability will be disclosed at a later date. As a workaround revoke the executor role from accounts not strictly under the team's control. We recommend revoking all executors that are not also proposers. When applying this mitigation, ensure there is at least one proposer and executor remaining.

Improper Privilege Management

OpenZepplin is a library for smart contract development. Further details about the vulnerability will be disclosed at a later date. As a workaround revoke the executor role from accounts not strictly under the team's control. We recommend revoking all executors that are not also proposers. When applying this mitigation, ensure there is at least one proposer and executor remaining.

Access of Resource Using Incompatible Type (Type Confusion)

A type confusion vulnerability can lead to a bypass of CVE-2020-15256 when the path components used in the path parameter are arrays. In particular, the condition currentPath === 'proto' returns false if currentPath is ['proto']. This is because the === operator returns always false when the type of the operands is different.

Improper Authentication

octobercms in a CMS platform based on the Laravel PHP Framework. There exists a vulnerability that is exploitable by unauthenticated users via a specially crafted request. This only affects frontend users and the attacker must obtain a Laravel secret key for cookie encryption and signing in order to exploit this vulnerability.

Use of Uninitialized Resource

TensorFlow is an end-to-end open source platform for machine learning.For example. The issue stems from the fact that quantization.params is only valid if quantization.type is different that kTfLiteNoQuantization. However, these checks are missing in large parts of the code. We have patched the issue in GitHub commits bc7c723439b9194a358f64d871dd326c18887, 4a91f2069f7145aab6ba2d8cfe41be8a110c18a5 b8a21280696ab119b63263babdb54c298538. The fix will be included in TensorFlow We will also cherrypick this commit on TensorFlow, TensorFlow, and TensorFlow, as these …

Use After Free

TensorFlow is an end-to-end open source platform for machine learning. In affected versions when running shape functions, some functions produce extra output information in the form of a ShapeAndType struct. The shapes embedded in this struct are owned by an inference context that is cleaned up almost immediately; if the upstream code attempts to access this shape information, it can trigger a segfault. ShapeRefiner is mitigating this for normal output …

Use After Free

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for tf.raw_ops.BoostedTreesCreateEnsemble can result in a use after free error if an attacker supplies specially crafted arguments. The implementation uses a reference counted resource and decrements the refcount if the initialization fails, as it should. However, when the code was written, the resource was represented as a naked pointer but later refactoring has changed it …

Use After Free

TensorFlow is an end-to-end open source platform for machine learning. In affected versions when running shape functions, some functions produce extra output information in the form of a ShapeAndType struct. The shapes embedded in this struct are owned by an inference context that is cleaned up almost immediately; if the upstream code attempts to access this shape information, it can trigger a segfault. ShapeRefiner is mitigating this for normal output …

Use After Free

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for tf.raw_ops.BoostedTreesCreateEnsemble can result in a use after free error if an attacker supplies specially crafted arguments. The implementation uses a reference counted resource and decrements the refcount if the initialization fails, as it should. However, when the code was written, the resource was represented as a naked pointer but later refactoring has changed it …

Reachable Assertion

TensorFlow is an end-to-end open source platform for machine learning. In affected versions providing a negative element to num_elements list argument of tf.raw_ops.TensorListReserve causes the runtime to abort the process due to reallocating a std::vector to have a negative number of elements. The implementation calls std::vector.resize with the new size controlled by input given by the user, without checking that this input is valid. We have patched the issue in …

Reachable Assertion

TensorFlow is an end-to-end open source platform for machine learning. In affected versions providing a negative element to num_elements list argument of tf.raw_ops.TensorListReserve causes the runtime to abort the process due to reallocating a std::vector to have a negative number of elements. The implementation calls std::vector.resize with the new size controlled by input given by the user, without checking that this input is valid. We have patched the issue in …

Out-of-bounds Write

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for tf.raw_ops.ExperimentalDatasetToTFRecord and tf.raw_ops.DatasetToTFRecord can trigger heap buffer overflow and segmentation fault. The implementation assumes that all records in the dataset are of string type. However, there is no check for that, and the example given above uses numeric types. We have patched the issue in GitHub commit e0b6e58c328059829c3eb968136f17aa72b6c876. The fix will be included in …

Out-of-bounds Write

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for tf.raw_ops.FractionalAvgPoolGrad can be tricked into accessing data outside of bounds of heap allocated buffers. The implementation does not validate that the input tensor is non-empty. Thus, code constructs an empty EigenDoubleMatrixMap and then accesses this buffer with indices that are outside of the empty area. We have patched the issue in GitHub commit 0f931751fb20f565c4e94aa6df58d54a003cdb30. …

Out-of-bounds Write

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for tf.raw_ops.FractionalAvgPoolGrad can be tricked into accessing data outside of bounds of heap allocated buffers. The implementation does not validate that the input tensor is non-empty. Thus, code constructs an empty EigenDoubleMatrixMap and then accesses this buffer with indices that are outside of the empty area. We have patched the issue in GitHub commit 0f931751fb20f565c4e94aa6df58d54a003cdb30. …

Out-of-bounds Write

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for tf.raw_ops.ExperimentalDatasetToTFRecord and tf.raw_ops.DatasetToTFRecord can trigger heap buffer overflow and segmentation fault. The implementation assumes that all records in the dataset are of string type. However, there is no check for that, and the example given above uses numeric types. We have patched the issue in GitHub commit e0b6e58c328059829c3eb968136f17aa72b6c876. The fix will be included in …

Out-of-bounds Read

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a crash via a CHECK-fail in debug builds of TensorFlow using tf.raw_ops.ResourceGather or a read from outside the bounds of heap allocated data in the same API in a release build. The implementation does not check that the batch_dims value that the user supplies is less than the rank of the input tensor. …

Out-of-bounds Read

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to tf.raw_ops.SdcaOptimizerV2. The implementation does not check that the length of example_labels is the same as the number of examples. We have patched the issue in GitHub commit a4e138660270e7599793fa438cd7b2fc2ce215a6. The fix will be included in TensorFlow 2.6.0. We will …

Out-of-bounds Read

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of sparse reduction operations in TensorFlow can trigger accesses outside of bounds of heap allocated data. The implementation fails to validate that each reduction group does not overflow and that each corresponding index does not point to outside the bounds of the input tensor. We have patched the issue in GitHub commit 87158f43f05f2720a374f3e6d22a7aaa3a33f750. The fix …

Out-of-bounds Read

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a crash via a CHECK-fail in debug builds of TensorFlow using tf.raw_ops.ResourceGather or a read from outside the bounds of heap allocated data in the same API in a release build. The implementation does not check that the batch_dims value that the user supplies is less than the rank of the input tensor. …

Out-of-bounds Read

TensorFlow is an end-to-end open source platform for machine learning. In affected versions if the arguments to tf.raw_ops.RaggedGather don't determine a valid ragged tensor code can trigger a read from outside of bounds of heap allocated buffers. The implementation directly reads the first dimension of a tensor shape before checking that said tensor has rank of at least 1 . Furthermore, the implementation does not check that the list given …

Out-of-bounds Read

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to BoostedTreesSparseCalculateBestFeatureSplit. The implementation needs to validate that each value in stats_summary_indices is in range. We have patched the issue in GitHub commit e84c975313e8e8e38bb2ea118196369c45c51378. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on …

Out-of-bounds Read

TensorFlow is an end-to-end open source platform for machine learning.Hence, an attacker can read arbitrary data from the heap by carefully crafting a model with negative values in indices. Similar issue exists in Gather implementation We have patched the issue in GitHub commits bb6a0383ed553c286f87ca88c207f6774d5c4a8f and eb921122119a6b6e470ee98b89e65d721663179d. The fix will be included in TensorFlow We will also cherrypick this commit on TensorFlow, TensorFlow, and TensorFlow, as these are also affected and …

Out-of-bounds Read

TensorFlow is an end-to-end open source platform for machine learning.If axis is a large negative value (e.g., -100000), then after the first if it would still be negative. The check following the if statement will pass and the for loop would read one element before the start of input_dims.data (when i = 0). We have patched the issue in GitHub commit d94ffe08a65400f898241c0374e9edc6fa8ed257. The fix will be included in TensorFlow We …

Out-of-bounds Read

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of sparse reduction operations in TensorFlow can trigger accesses outside of bounds of heap allocated data. The implementation fails to validate that each reduction group does not overflow and that each corresponding index does not point to outside the bounds of the input tensor. We have patched the issue in GitHub commit 87158f43f05f2720a374f3e6d22a7aaa3a33f750. The fix …

Out-of-bounds Read

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to tf.raw_ops.UpperBound. The implementation does not validate the rank of sorted_input argument. A similar issue occurs in tf.raw_ops.LowerBound. We have patched the issue in GitHub commit 42459e4273c2e47a3232cc16c4f4fff3b3a35c38. The fix will be included in TensorFlow 2.6.0. We will also cherrypick …

Out-of-bounds Read

TensorFlow is an end-to-end open source platform for machine learning. In affected versions if the arguments to tf.raw_ops.RaggedGather don't determine a valid ragged tensor code can trigger a read from outside of bounds of heap allocated buffers. The implementation directly reads the first dimension of a tensor shape before checking that said tensor has rank of at least 1 . Furthermore, the implementation does not check that the list given …

Out-of-bounds Read

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to tf.raw_ops.UpperBound. The implementation does not validate the rank of sorted_input argument. A similar issue occurs in tf.raw_ops.LowerBound. We have patched the issue in GitHub commit 42459e4273c2e47a3232cc16c4f4fff3b3a35c38. The fix will be included in TensorFlow 2.6.0. We will also cherrypick …

Out-of-bounds Read

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to tf.raw_ops.SdcaOptimizerV2. The implementation does not check that the length of example_labels is the same as the number of examples. We have patched the issue in GitHub commit a4e138660270e7599793fa438cd7b2fc2ce215a6. The fix will be included in TensorFlow 2.6.0. We will …

Out-of-bounds Read

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a read from outside of bounds of heap allocated data by sending invalid arguments to tf.raw_ops.ResourceScatterUpdate. The implementation has an incomplete validation of the relationship between the shapes of indices and updates: instead of checking that the shape of indices is a prefix of the shape of updates , code only checks that …

Out-of-bounds Read

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to BoostedTreesSparseCalculateBestFeatureSplit. The implementation needs to validate that each value in stats_summary_indices is in range. We have patched the issue in GitHub commit e84c975313e8e8e38bb2ea118196369c45c51378. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on …

Out-of-bounds Read

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a read from outside of bounds of heap allocated data by sending invalid arguments to tf.raw_ops.ResourceScatterUpdate. The implementation has an incomplete validation of the relationship between the shapes of indices and updates: instead of checking that the shape of indices is a prefix of the shape of updates , code only checks that …

Out-of-bounds Read

There's a flaw in OpenEXR's rleUncompress functionality. An attacker who is able to submit a crafted file to an application linked with OpenEXR could cause an out-of-bounds read. The greatest risk from this flaw is to application availability.

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. When a user does not supply arguments that determine a valid sparse tensor, tf.raw_ops.SparseTensorSliceDataset implementation can be made to dereference a null pointer. The implementation has some argument validation but fails to consider the case when either indices or values are provided for an empty sparse tensor when the other is not. If indices is empty, then code that performs …

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. The code for tf.raw_ops.UncompressElement can be made to trigger a null pointer dereference. The implementation obtains a pointer to a CompressedElement from a Variant tensor and then proceeds to dereference it for decompressing. There is no check that the Variant tensor contained a CompressedElement, so the pointer is actually nullptr. We have patched the issue in GitHub commit 7bdf50bb4f5c54a4997c379092888546c97c3ebd. The …

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. It is possible to trigger a null pointer dereference in TensorFlow by passing an invalid input to tf.raw_ops.CompressElement. The implementation was accessing the size of a buffer obtained from the return of a separate function call before validating that said buffer is valid. We have patched the issue in GitHub commit 5dc7f6981fdaf74c8c5be41f393df705841fb7c5. The fix will be included in TensorFlow 2.6.0. …

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the code for tf.raw_ops.SaveV2 does not properly validate the inputs and an attacker can trigger a null pointer dereference. The implementation uses ValidateInputs to check that the input arguments are valid. This validation would have caught the illegal state represented by the reproducer above. However, the validation uses OP_REQUIRES which translates to setting the Status object of …

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can craft a TFLite model that would trigger a null pointer dereference, which would result in a crash and denial of service. This is caused by the MLIR optimization of L2NormalizeReduceAxis operator. The implementation unconditionally dereferences a pointer to an iterator to a vector without checking that the vector has elements.

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. It is possible to trigger a null pointer dereference in TensorFlow by passing an invalid input to tf.raw_ops.CompressElement. The implementation was accessing the size of a buffer obtained from the return of a separate function call before validating that said buffer is valid. We have patched the issue in GitHub commit 5dc7f6981fdaf74c8c5be41f393df705841fb7c5. The fix will be included in TensorFlow 2.6.0. …

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. When restoring tensors via raw APIs, if the tensor name is not provided, TensorFlow can be tricked into dereferencing a null pointer. Alternatively, attackers can read memory outside the bounds of heap allocated data by providing some tensor names but not enough for a successful restoration. The implementation retrieves the tensor list corresponding to the tensor_name user controlled input and …

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. which would result in a crash and denial of service. This is caused by the MLIR optimization of L2NormalizeReduceAxis operator. The implementation unconditionally dereferences a pointer to an iterator to a vector without checking that the vector has elements. We have patched the issue in GitHub commit d6b57f461b39fd1aa8c1b870f1b974aac3554955. The fix will be included in TensorFlow We will also cherrypick this …

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. When a user does not supply arguments that determine a valid sparse tensor, tf.raw_ops.SparseTensorSliceDataset implementation can be made to dereference a null pointer. The implementation has some argument validation but fails to consider the case when either indices or values are provided for an empty sparse tensor when the other is not. If indices is empty, then code that performs …

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. The GetVariableInput function can return a null pointer but GetTensorData assumes that the argument is always a valid tensor. Furthermore, because GetVariableInput calls GetMutableInput which might return nullptr, the tensor->is_variable expression can also trigger a null pointer exception. We have patched the issue in GitHub commit 5b048e87e4e55990dae6b547add4dae59f4e1c76. The fix will be included in TensorFlow We will also cherrypick this commit …

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the code for tf.raw_ops.SaveV2 does not properly validate the inputs and an attacker can trigger a null pointer dereference. The implementation uses ValidateInputs to check that the input arguments are valid. This validation would have caught the illegal state represented by the reproducer above. However, the validation uses OP_REQUIRES which translates to setting the Status object of …

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. which would result in a crash and denial of service. The implementation unconditionally dereferences a pointer. We have patched the issue in GitHub commit e456c7dc9bd6be203b09765b063bf4a380c. The fix will be included in TensorFlow We will also cherrypick this commit on TensorFlow, TensorFlow, and TensorFlow, as these are also affected and still in supported range.

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. If a user does not provide a valid padding value to tf.raw_ops.MatrixDiagPartOp, then the code triggers a null pointer dereference or produces invalid behavior, ignoring all values after the first. The implementation reads the first value from a tensor buffer without first checking that the tensor has values to read from. We have patched the issue in GitHub commit 482da92095c4d48f8784b1f00dda4f81c28d2988. …

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. When restoring tensors via raw APIs, if the tensor name is not provided, TensorFlow can be tricked into dereferencing a null pointer. Alternatively, attackers can read memory outside the bounds of heap allocated data by providing some tensor names but not enough for a successful restoration. The implementation retrieves the tensor list corresponding to the tensor_name user controlled input and …

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. Sending invalid argument for row_partition_types of tf.raw_ops.RaggedTensorToTensor API results in a null pointer dereference and undefined behavior. The implementation accesses the first element of a user supplied list of values without validating that the provided list is not empty. We have patched the issue in GitHub commit 301ae88b331d37a2a16159b65b255f4f9eb39314. The fix will be included in TensorFlow 2.6.0. We will also cherrypick …

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. If a user does not provide a valid padding value to tf.raw_ops.MatrixDiagPartOp, then the code triggers a null pointer dereference or produces invalid behavior, ignoring all values after the first. The implementation reads the first value from a tensor buffer without first checking that the tensor has values to read from. We have patched the issue in GitHub commit 482da92095c4d48f8784b1f00dda4f81c28d2988. …

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. The code for tf.raw_ops.UncompressElement can be made to trigger a null pointer dereference. The implementation obtains a pointer to a CompressedElement from a Variant tensor and then proceeds to dereference it for decompressing. There is no check that the Variant tensor contained a CompressedElement, so the pointer is actually nullptr. We have patched the issue in GitHub commit 7bdf50bb4f5c54a4997c379092888546c97c3ebd. The …

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in all binary cwise operations that don't require broadcasting (e.g., gradients of binary cwise operations). The implementation assumes that the two inputs have exactly the same number of elements but does not check that. Hence, when the eigen functor executes it triggers heap OOB …

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. Sending invalid argument for row_partition_types of tf.raw_ops.RaggedTensorToTensor API results in a null pointer dereference and undefined behavior. The implementation accesses the first element of a user supplied list of values without validating that the provided list is not empty. We have patched the issue in GitHub commit 301ae88b331d37a2a16159b65b255f4f9eb39314. The fix will be included in TensorFlow 2.6.0. We will also cherrypick …

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in all binary cwise operations that don't require broadcasting (e.g., gradients of binary cwise operations). The implementation assumes that the two inputs have exactly the same number of elements but does not check that. Hence, when the eigen functor executes it triggers heap OOB …

Loop with Unreachable Exit Condition

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the strided slice implementation in TFLite has a logic bug which can allow an attacker to trigger an infinite loop. This arises from newly introduced support for ellipsis in axis definition An attacker can craft a model such that ellipsis_end_idx is smaller than i (e.g., always negative). In this case, the inner loop does not increase i …

Loop with Unreachable Exit Condition

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the strided slice implementation in TFLite has a logic bug which can allow an attacker to trigger an infinite loop. This arises from newly introduced support for ellipsis in axis definition An attacker can craft a model such that ellipsis_end_idx is smaller than i (e.g., always negative). In this case, the inner loop does not increase i …

Incorrect Conversion between Numeric Types

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.raw_ops.QuantizeAndDequantizeV4Grad is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. The implementation uses the axis value as the size argument to absl::InlinedVector constructor. But, the constructor uses an unsigned type for the argument, so the implicit conversion …

Incorrect Conversion between Numeric Types

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause denial of service in applications serving models using tf.raw_ops.NonMaxSuppressionV5 by triggering a division by 0. The implementation uses a user controlled argument to resize a std::vector. However, as std::vector::resize takes the size argument as a size_t and output_size is an int, there is an implicit conversion to unsigned. If the attacker supplies a …

Incorrect Conversion between Numeric Types

TensorFlow is an end-to-end open source platform for machine learning. In affected versions it is possible to nest a tf.map_fn within another tf.map_fn call. However, if the input tensor is a RaggedTensor and there is no function signature provided, code assumes the output is a fully specified tensor and fills output buffer with uninitialized contents from the heap. The t and z outputs should be identical, however this is not …

Incorrect Conversion between Numeric Types

TensorFlow is an end-to-end open source platform for machine learning. In affected versions it is possible to nest a tf.map_fn within another tf.map_fn call. However, if the input tensor is a RaggedTensor and there is no function signature provided, code assumes the output is a fully specified tensor and fills output buffer with uninitialized contents from the heap. The t and z outputs should be identical, however this is not …

Incorrect Conversion between Numeric Types

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause a denial of service in boosted_trees_create_quantile_stream_resource by using negative arguments. The implementation does not validate that num_streams only contains non-negative numbers. In turn, this results in using this value to allocate memory However, reserve receives an unsigned integer so there is an implicit conversion from a negative value to a large positive unsigned. …

Incorrect Conversion between Numeric Types

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause denial of service in applications serving models using tf.raw_ops.NonMaxSuppressionV5 by triggering a division by 0. The implementation uses a user controlled argument to resize a std::vector. However, as std::vector::resize takes the size argument as a size_t and output_size is an int, there is an implicit conversion to unsigned. If the attacker supplies a …

Incorrect Conversion between Numeric Types

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.raw_ops.StringNGrams is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. The implementation calls reserve on a tstring with a value that sometimes can be negative if user supplies negative ngram_widths. The reserve method calls TF_TString_Reserve which has …

Incorrect Conversion between Numeric Types

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.raw_ops.StringNGrams is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. The implementation calls reserve on a tstring with a value that sometimes can be negative if user supplies negative ngram_widths. The reserve method calls TF_TString_Reserve which has …

Incorrect Conversion between Numeric Types

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.raw_ops.QuantizeAndDequantizeV4Grad is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. The implementation uses the axis value as the size argument to absl::InlinedVector constructor. But, the constructor uses an unsigned type for the argument, so the implicit conversion …

Incorrect Conversion between Numeric Types

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause a denial of service in boosted_trees_create_quantile_stream_resource by using negative arguments. The implementation does not validate that num_streams only contains non-negative numbers. In turn, this results in using this value to allocate memory However, reserve receives an unsigned integer so there is an implicit conversion from a negative value to a large positive unsigned. …

Improper Input Validation

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in tf.raw_ops.QuantizeV2, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap allocated arrays. The implementation has some validation but does not check that min_range and max_range both have the same non-zero number of elements. If axis is provided , …

Improper Input Validation

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for tf.raw_ops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference implementation uses axis to select between two different values for minmax_rank which is then used to retrieve tensor dimensions. However, code assumes that axis can be either -1 or …

Improper Input Validation

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in tf.raw_ops.QuantizeV2, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap allocated arrays. The implementation has some validation but does not check that min_range and max_range both have the same non-zero number of elements. If axis is provided , …

Improper Input Validation

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap allocated arrays. The implementation does not validate the dimensions of the input tensor. A similar issue occurs in MklRequantizePerChannelOp. The implementation does not perform full …

Improper Input Validation

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a segmentation fault in tf.raw_ops.MaxPoolGrad caused by missing validation. The implementation misses some validation for the orig_input and orig_output tensors. The fixes for CVE-2021-29579 were incomplete. We have patched the issue in GitHub commit 136b51f10903e044308cf77117c0ed9871350475. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this …

Improper Input Validation

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for tf.raw_ops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference implementation uses axis to select between two different values for minmax_rank which is then used to retrieve tensor dimensions. However, code assumes that axis can be either -1 or …

Improper Input Validation

TensorFlow is an end-to-end open source platform for machine learning. In affected versions under certain conditions, Go code can trigger a segfault in string deallocation. For string tensors, C.TF_TString_Dealloc is called during garbage collection within a finalizer function. However, tensor structure isn't checked until encoding to avoid a performance penalty. The current method for dealloc assumes that encoding succeeded, but segfaults when a string tensor is garbage collected whose encoding …

Improper Input Validation

TensorFlow is an end-to-end open source platform for machine learning. In affected versions under certain conditions, Go code can trigger a segfault in string deallocation. For string tensors, C.TF_TString_Dealloc is called during garbage collection within a finalizer function. However, tensor structure isn't checked until encoding to avoid a performance penalty. The current method for dealloc assumes that encoding succeeded, but segfaults when a string tensor is garbage collected whose encoding …

Improper Input Validation

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a CHECK-fail in tf.raw_ops.MapStage. The implementation does not check that the key input is a valid non-empty tensor. We have patched the issue in GitHub commit d7de67733925de196ec8863a33445b73f9562d1d. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow …

Improper Input Validation

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap allocated arrays. The implementation does not validate the dimensions of the input tensor. A similar issue occurs in MklRequantizePerChannelOp. The implementation does not perform full …

Improper Input Validation

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a segmentation fault in tf.raw_ops.MaxPoolGrad caused by missing validation. The implementation misses some validation for the orig_input and orig_output tensors. The fixes for CVE-2021-29579 were incomplete. We have patched the issue in GitHub commit 136b51f10903e044308cf77117c0ed9871350475. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this …

Improper Input Validation

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a CHECK-fail in tf.raw_ops.MapStage. The implementation does not check that the key input is a valid non-empty tensor. We have patched the issue in GitHub commit d7de67733925de196ec8863a33445b73f9562d1d. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow …

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning.We have patched the issue in GitHub commit aa137691ee23f03638867151f74935f. The fix will be included in TensorFlow We will also cherrypick this commit on TensorFlow, TensorFlow, and TensorFlow, as these are also affected and still in supported range.

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.raw_ops.SparseReshape can be made to trigger an integral division by 0 exception. The implementation calls the reshaping functor whenever there is at least an index in the input but does not check that shape of the input or the target shape have both a non-zero number of elements. The reshape functor blindly divides by …

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause a floating point exception by calling inplace operations with crafted arguments that would result in a division by 0. The implementation has a logic error: it should skip processing if x and v are empty but the code uses || instead of &&. We have patched the issue in GitHub commit e86605c0a336c088b638da02135ea6f9f6753618. The …

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.raw_ops.SparseDenseCwiseDiv is vulnerable to a division by 0 error. The implementation uses a common class for all binary operations but fails to treat the division by 0 case separately. We have patched the issue in GitHub commit d9204be9f49520cdaaeb2541d1dc5187b23f31d9. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow …

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause denial of service in applications serving models using tf.raw_ops.UnravelIndex by triggering a division by 0. The implementation does not check that the tensor subsumed by dims is not empty. Hence, if one element of dims is 0, the implementation does a division by 0. We have patched the issue in GitHub commit a776040a5e7ebf76eeb7eb923bf1ae417dd4d233. …

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause denial of service in applications serving models using tf.raw_ops.UnravelIndex by triggering a division by 0. The implementation does not check that the tensor subsumed by dims is not empty. Hence, if one element of dims is 0, the implementation does a division by 0. We have patched the issue in GitHub commit a776040a5e7ebf76eeb7eb923bf1ae417dd4d233. …

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a crash via a floating point exception in tf.raw_ops.ResourceGather. The implementation computes the value of a value, batch_size, and then divides by it without checking that this value is not 0. We have patched the issue in GitHub commit ac117ee8a8ea57b73d34665cdf00ef3303bc0b11. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this …

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can craft a TFLite model that would trigger a division by zero error in LSH implementation We have patched the issue in GitHub commit 0575b640091680cfb70f4dd93e70658de43b94f9. The fix will be included in TensorFlow 2.6.0. We will also cherrypick thiscommit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported …

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. There is no check that the divisor tensor does not contain zero elements. We have patched the issue in GitHub commit 1e206baedf8bef0334cca3eb92bab134ef525a28. The fix will be included in TensorFlow We will also cherrypick this commit on TensorFlow, TensorFlow, and TensorFlow, as these are also affected and still in supported range.

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.raw_ops.SparseDenseCwiseDiv is vulnerable to a division by 0 error. The implementation uses a common class for all binary operations but fails to treat the division by 0 case separately. We have patched the issue in GitHub commit d9204be9f49520cdaaeb2541d1dc5187b23f31d9. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow …

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.raw_ops.SparseReshape can be made to trigger an integral division by 0 exception. The implementation calls the reshaping functor whenever there is at least an index in the input but does not check that shape of the input or the target shape have both a non-zero number of elements. The reshape functor blindly divides by …

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementations of pooling in TFLite are vulnerable to division by 0 errors as there are no checks for divisors not being 0. We have patched the issue in GitHub commit dfa22b348b70bb89d6d6ec0ff53973bacb4f4695 The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are …

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can craft a TFLite model that would trigger a division by zero error in LSH implementation We have patched the issue in GitHub commit 0575b640091680cfb70f4dd93e70658de43b94f9. The fix will be included in TensorFlow 2.6.0. We will also cherrypick thiscommit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported …

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a crash via a floating point exception in tf.raw_ops.ResourceGather. The implementation computes the value of a value, batch_size, and then divides by it without checking that this value is not 0. We have patched the issue in GitHub commit ac117ee8a8ea57b73d34665cdf00ef3303bc0b11. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this …

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.raw_ops.ResourceScatterDiv is vulnerable to a division by 0 error. The implementation uses a common class for all binary operations but fails to treat the division by 0 case separately. We have patched the issue in GitHub commit 4aacb30888638da75023e6601149415b39763d76. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow …

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause a floating point exception by calling inplace operations with crafted arguments that would result in a division by 0. The implementation has a logic error: it should skip processing if x and v are empty but the code uses || instead of &&. We have patched the issue in GitHub commit e86605c0a336c088b638da02135ea6f9f6753618. The …

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. In affected versions most implementations of convolution operators in TensorFlow are affected by a division by 0 vulnerability where an attacker can trigger a denial of service via a crash. The shape inference implementation is missing several validations before doing divisions and modulo operations. We have patched the issue in GitHub commit 8a793b5d7f59e37ac7f3cd0954a750a2fe76bad4. The fix will be included in TensorFlow …

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. In affected versions most implementations of convolution operators in TensorFlow are affected by a division by 0 vulnerability where an attacker can trigger a denial of service via a crash. The shape inference implementation is missing several validations before doing divisions and modulo operations. We have patched the issue in GitHub commit 8a793b5d7f59e37ac7f3cd0954a750a2fe76bad4. The fix will be included in TensorFlow …

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementations of pooling in TFLite are vulnerable to division by 0 errors as there are no checks for divisors not being 0. We have patched the issue in GitHub commit dfa22b348b70bb89d6d6ec0ff53973bacb4f4695 The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are …

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.raw_ops.ResourceScatterDiv is vulnerable to a division by 0 error. The implementation uses a common class for all binary operations but fails to treat the division by 0 case separately. We have patched the issue in GitHub commit 4aacb30888638da75023e6601149415b39763d76. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow …

Deserialization of Untrusted Data

TensorFlow is an end-to-end open source platform for machine learning. In affected versions TensorFlow and Keras can be tricked to perform arbitrary code execution when deserializing a Keras model from YAML format. The implementation uses yaml.unsafe_load which can perform arbitrary code execution on the input. Given that YAML format support requires a significant amount of work, we have removed it for now. We have patched the issue in GitHub commit …

Deserialization of Untrusted Data

TensorFlow is an end-to-end open source platform for machine learning. In affected versions TensorFlow and Keras can be tricked to perform arbitrary code execution when deserializing a Keras model from YAML format. The implementation uses yaml.unsafe_load which can perform arbitrary code execution on the input. Given that YAML format support requires a significant amount of work, we have removed it for now. We have patched the issue in GitHub commit …

Code Injection

BinderHub is a kubernetes-based cloud service that allows users to share reproducible interactive computing environments from code repositories. where providing BinderHub with maliciously crafted input could execute code in the BinderHub context, with the potential to egress credentials of the BinderHub deployment, including JupyterHub API tokens, kubernetes service accounts, and docker registry credentials. This may provide the ability to manipulate images and other user created pods in the deployment, with …

Code Injection

nbgitpuller is a Jupyter server extension to sync a git repository one-way to a local path. Due to unsanitized input, visiting maliciously crafted links could result in arbitrary code execution in the user environment.

Buffer Overflow

Buffer Overflow in Netwide Assembler (NASM) v2.15.xx allows attackers to cause a denial of service via 'crc64i' in the component 'nasmlib/crc64'. This issue is different than CVE-2019-7147.

Access of Uninitialized Pointer

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in all operations of type tf.raw_ops.MatrixSetDiagV*. The implementation has incomplete validation that the value of k is a valid tensor. We have check that this value is either a scalar or a vector, but there is no check for the number of elements. If …

Access of Uninitialized Pointer

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in tf.raw_ops.SparseFillEmptyRows. The shape inference implementation does not validate that the input arguments are not empty tensors. We have patched the issue in GitHub commit 578e634b4f1c1c684d4b4294f9e5281b2133b3ed. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow …

Access of Uninitialized Pointer

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in tf.raw_ops.RaggedTensorToSparse. The implementation has an incomplete validation of the splits values: it does not check that they are in increasing order. We have patched the issue in GitHub commit 1071f554dbd09f7e101324d366eec5f4fe5a3ece. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this …

Access of Uninitialized Pointer

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in tf.raw_ops.UnicodeEncode. The implementation reads the first dimension of the input_splits tensor before validating that this tensor is not empty. We have patched the issue in GitHub commit 2e0ee46f1a47675152d3d865797a18358881d7a6. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on …

Access of Uninitialized Pointer

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in tf.raw_ops.UnicodeEncode. The implementation reads the first dimension of the input_splits tensor before validating that this tensor is not empty. We have patched the issue in GitHub commit 2e0ee46f1a47675152d3d865797a18358881d7a6. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on …

Access of Uninitialized Pointer

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in all operations of type tf.raw_ops.MatrixSetDiagV*. The implementation has incomplete validation that the value of k is a valid tensor. We have check that this value is either a scalar or a vector, but there is no check for the number of elements. If …

Access of Uninitialized Pointer

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can generate undefined behavior via a reference binding to nullptr in BoostedTreesCalculateBestGainsPerFeature and similar attack can occur in BoostedTreesCalculateBestFeatureSplitV2. The implementation does not validate the input values. We have patched the issue in GitHub commit 9c87c32c710d0b5b53dc6fd3bfde4046e1f7a5ad and in commit 429f009d2b2c09028647dd4bb7b3f6f414bbaad7. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on …

Access of Uninitialized Pointer

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in tf.raw_ops.RaggedTensorToVariant. The implementation has an incomplete validation of the splits values, missing the case when the argument would be empty. We have patched the issue in GitHub commit be7a4de6adfbd303ce08be4332554dff70362612. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit …

Access of Uninitialized Pointer

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in tf.raw_ops.SparseFillEmptyRows. The shape inference implementation does not validate that the input arguments are not empty tensors. We have patched the issue in GitHub commit 578e634b4f1c1c684d4b4294f9e5281b2133b3ed. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow …

Access of Uninitialized Pointer

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in tf.raw_ops.RaggedTensorToVariant. The implementation has an incomplete validation of the splits values, missing the case when the argument would be empty. We have patched the issue in GitHub commit be7a4de6adfbd303ce08be4332554dff70362612. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit …

Access of Uninitialized Pointer

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in all operations of type tf.raw_ops.MatrixDiagV*. The implementation has incomplete validation that the value of k is a valid tensor. We have check that this value is either a scalar or a vector, but there is no check for the number of elements. If …

Access of Uninitialized Pointer

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in all operations of type tf.raw_ops.MatrixDiagV*. The implementation has incomplete validation that the value of k is a valid tensor. We have check that this value is either a scalar or a vector, but there is no check for the number of elements. If …

Access of Uninitialized Pointer

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in tf.raw_ops.Map* and tf.raw_ops.OrderedMap* operations. The implementation has a check in place to ensure that indices is in ascending order, but does not check that indices is not empty. We have patched the issue in GitHub commit 532f5c5a547126c634fefd43bbad1dc6417678ac. The fix will be included in …

Access of Uninitialized Pointer

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in tf.raw_ops.RaggedTensorToSparse. The implementation has an incomplete validation of the splits values: it does not check that they are in increasing order. We have patched the issue in GitHub commit 1071f554dbd09f7e101324d366eec5f4fe5a3ece. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this …

Access of Uninitialized Pointer

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in tf.raw_ops.Map* and tf.raw_ops.OrderedMap* operations. The implementation has a check in place to ensure that indices is in ascending order, but does not check that indices is not empty. We have patched the issue in GitHub commit 532f5c5a547126c634fefd43bbad1dc6417678ac. The fix will be included in …

Access of Uninitialized Pointer

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can generate undefined behavior via a reference binding to nullptr in BoostedTreesCalculateBestGainsPerFeature and similar attack can occur in BoostedTreesCalculateBestFeatureSplitV2. The implementation does not validate the input values. We have patched the issue in GitHub commit 9c87c32c710d0b5b53dc6fd3bfde4046e1f7a5ad and in commit 429f009d2b2c09028647dd4bb7b3f6f414bbaad7. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on …

Out-of-bounds Read

ASN.1 strings are represented internally within OpenSSL as an ASN1_STRING structure which contains a buffer holding the string data and a field holding the buffer length. This contrasts with normal C strings which are repesented as a buffer for the string data which is terminated with a NUL (0) byte. Although not a strict requirement, ASN.1 strings that are parsed using OpenSSL's own "d2i" functions (and other similar parsing functions) …

Out-of-bounds Read

If a malicious actor can cause an application to directly construct an ASN1_STRING and then process it through one of the affected OpenSSL functions then this issue could be hit. This might result in a crash (causing a Denial of Service attack). It could also result in the disclosure of private memory contents (such as private keys, or sensitive plaintext)

Out-of-bounds Read

ASN.1 strings are represented internally within OpenSSL as an ASN1_STRING structure which contains a buffer holding the string data and a field holding the buffer length. This contrasts with normal C strings which are repesented as a buffer for the string data which is terminated with a NUL (0) byte. Although not a strict requirement, ASN.1 strings that are parsed using OpenSSL's own "d2i" functions (and other similar parsing functions) …

Incorrect Authorization

Istio is an open source platform for providing a uniform way to integrate microservices, manage traffic flow across microservices, enforce policies and aggregate telemetry data. Istio contains a remotely exploitable vulnerability where an HTTP request with #fragment in the path may bypass Istio's URI path based authorization policies. As a work around a Lua filter may be written to normalize the path.

Improper Handling of Case Sensitivity

Istio is an open source platform for providing a uniform way to integrate microservices, manage traffic flow across microservices, enforce policies and aggregate telemetry data. According to RFC , Istio authorization policy should compare the hostname in the HTTP Host header in a case insensitive way, but currently the comparison is case sensitive. The proxy will route the request hostname in a case-insensitive way which means the authorization policy could …

Buffer Overflow

In order to decrypt SM2 encrypted data an application is expected to call the API function EVP_PKEY_decrypt(). Typically an application will call this function twice. The first time, on entry, the out parameter can be NULL and, on exit, the outlen parameter is populated with the buffer size required to hold the decrypted plaintext. The application can then allocate a sufficiently sized buffer and call EVP_PKEY_decrypt() again, but this time …

Unrestricted Upload of File with Dangerous Type

XStream is a simple library to serialize objects to XML and back again. This vulnerability may allow a remote attacker to load and execute arbitrary code from a remote host only by manipulating the processed input stream. Users who followed the recommendation to setup XStream's security framework with a allow list limited to the minimal required types are not impacted.

Server-Side Request Forgery (SSRF)

XStream is a simple library to serialize objects to XML and back again. This vulnerability may allow a remote attacker to request data from internal resources that are not publicly available only by manipulating the processed input stream with a Java runtime to Users who followed the recommendation to setup XStream's security framework with an allow list limited to the minimal required types are not impacted.

Server-Side Request Forgery (SSRF)

XStream is a simple library to serialize objects to XML and back again. This vulnerability may allow a remote attacker to request data from internal resources that are not publicly available only by manipulating the processed input stream with a Java runtime. Users who followed the recommendation to setup XStream's security framework with an allow list limited to the minimal required types are not impacted.

Potential privilege escalation on Kubernetes >= v1.19 when the Argo Sever is run with `--auth-mode=client`

Impact This is pro-active fix. No know exploits exist. Impacted: You're running Kubernetes >= v1.19 You're running Argo Server It is configured to with –auth-mode=client Is not configured with –auth-mode=server You are not running Argo Server in Kubernetes pod. E.g. on bare metal or other VM. You're using client key to authenticate on the server. The server has more permissions that the connecting client's account. The client's authentication will be …

Incorrect Authorization

OpenStack Neutron allows hardware address impersonation when the linuxbridge driver with ebtables-nft is used on a Netfilter-based platform. By sending carefully crafted packets, anyone in control of a server instance connected to the virtual switch can impersonate the hardware addresses of other systems on the network, resulting in denial of service or in some cases possibly interception of traffic intended for other destinations.

Improper Privilege Management

Contao is an open source CMS that allows creation of websites and scalable web applications. In affected versions it is possible to gain privileged rights in the Contao back end. Installations are only affected if they have untrusted back end users who have access to the form generator. All users are advised to update to Contao 4.4.56, 4.9.18 or 4.11.7. As a workaround users may disable the form generator or …

Improper Neutralization of Input During Web Page Generation

JupyterLab is a user interface for Project Jupyter which will eventually replace the classic Jupyter Notebook. In affected versions untrusted notebook can execute code on load. In particular JupyterLab doesn’t sanitize the action attribute of html <form>. Using this it is possible to trigger the form validation outside of the form itself. This is a remote code execution, but requires user action to open a notebook.

Improper Control of Generation of Code ('Code Injection')

Contao is an open source CMS that allows you to create websites and scalable web applications. In affected versions it is possible to load PHP files by entering insert tags in the Contao back end. Installations are only affected if they have untrusted back end users who have the rights to modify fields that are shown in the front end. Update to Contao 4.4.56, 4.9.18 or 4.11.7 to resolve. If …

Deserialization of Untrusted Data

XStream is a simple library to serialize objects to XML and back again. This vulnerability may allow a remote attacker to load and execute arbitrary code from a remote host only by manipulating the processed input stream. Users who followed the recommendation to setup XStream's security framework with an allow list limited to the minimal required types are not impacted.

Deserialization of Untrusted Data

XStream is a simple library to serialize objects to XML and back again. This vulnerability may allow a remote attacker to load and execute arbitrary code from a remote host only by manipulating the processed input stream. Users who followed the recommendation to setup XStream's security framework with an allow list limited to the minimal required types are not impacted.

Deserialization of Untrusted Data

XStream is a simple library to serialize objects to XML and back again.However, this scenario can be adjusted easily to an external Xalan that works regardless of the version of the Java runtime. Users who followed the recommendation to setup XStream's security framework with an allow list limited to the minimal required types are not impacted.

Deserialization of Untrusted Data

XStream is a simple library to serialize objects to XML and back again. if using the version out of the box with Java runtime to 8 or with JavaFX installed. Users who followed the recommendation to setup XStream's security framework with an allow list limited to the minimal required types are not impacted.

Deserialization of Untrusted Data

XStream is a simple library to serialize objects to XML and back again. This vulnerability may allow a remote attacker to load and execute arbitrary code from a remote host only by manipulating the processed input stream. Users who followed the recommendation to setup XStream's security framework with a allow list limited to the minimal required types are not impacted.

Deserialization of Untrusted Data

XStream is a simple library to serialize objects to XML and back again. This vulnerability may allow a remote attacker to load and execute arbitrary code from a remote host only by manipulating the processed input stream. Users who followed the recommendation to setup XStream's security framework with an allow list limited to the minimal required types are not impacted.

Deserialization of Untrusted Data

XStream is a simple library to serialize objects to XML and back again. This vulnerability may allow a remote attacker to load and execute arbitrary code from a remote host only by manipulating the processed input stream. Users who followed the recommendation to setup XStream's security framework with an allow list limited to the minimal required types are not impacted.

Deserialization of Untrusted Data

XStream is a simple library to serialize objects to XML and back again. This vulnerability may allow a remote attacker to allocate % CPU time on the target system depending on CPU type or parallel execution of such a payload resulting in a denial of service only by manipulating the processed input stream. Users who followed the recommendation to setup XStream's security framework with an allow list limited to the …

Deserialization of Untrusted Data

XStream is a simple library to serialize objects to XML and back again. This vulnerability may allow a remote attacker to load and execute arbitrary code from a remote host only by manipulating the processed input stream. Users who followed the recommendation to setup XStream's security framework with an allow list limited to the minimal required types are not impacted.

Code Injection

XStream is a simple library to serialize objects to XML and back again. This vulnerability may allow a remote attacker has sufficient rights to execute commands of the host only by manipulating the processed input stream. Users who followed the recommendation to setup XStream's security framework with a allow list limited to the minimal required types are not impacted.

Argo Server TLS requests could be forged by attacker with network access

Impact We are not aware of any exploits. This is a pro-active fix. Impacted: You are running Argo Server < v3.0 with –secure=true or >= v3.0 with –secure unspecified (note - running in secure mode is recommended regardless). The attacker is within your network. If you expose Argo Server to the Internet then "your network" is "the Internet". The Argo Server's keys are packaged within the image. They could be …

Improper Authentication

Parse Server is an open source backend that can be deployed to any infrastructure that can run Node.js. Developers can use the REST API to signup users and also allow users to login anonymously., when an anonymous user is first signed up using REST, the server creates session incorrectly. Particularly, the authProvider field in _Session class under createdWith shows the user logged in creating a password. If a developer later …

Uncaught Exception

jsoup is a Java library for working with HTML. Those using jsoup to parse untrusted HTML or XML may be vulnerable to DoS attacks. If the parser is run on user supplied input, an attacker may supply content that causes the parser to get stuck (loop indefinitely until cancelled), to complete more slowly than usual, or to throw an unexpected exception. This effect may support a denial of service attack. …

Loop with Unreachable Exit Condition ('Infinite Loop')

jsoup is a Java library for working with HTML. Those using jsoup to parse untrusted HTML or XML may be vulnerable to DoS attacks. If the parser is run on user supplied input, an attacker may supply content that causes the parser to get stuck (loop indefinitely until cancelled), to complete more slowly than usual, or to throw an unexpected exception. This effect may support a denial of service attack. …

Improper Handling of Exceptional Conditions

ced detects character encoding using Google's compact_enc_det library. In ced, passing data types other than Buffer causes the Node.js process to crash. As a workaround, before passing an argument to ced, verify it's a Buffer using Buffer.isBuffer(obj).

Improper Authentication

Admin level users can change other user's details but fails to validate already existing Login name, while renaming the user “Login”. This leads to complete account takeover of the victim user. This happens since the password gets overwritten for the victim user having a similar login name.

Command Injection

The @diez/generation npm package is a client for Diez. The locateFont method of @diez/generation has a command injection vulnerability. Clients of the @diez/generation library are unlikely to be aware of this, so they might unwittingly write code that contains a vulnerability. This issue may lead to remote code execution if a client of the library calls the vulnerable method with untrusted input.

Path Traversal

bblfshd is an open source self-hosted server for source code parsing. In bblfshd there is a zipslip vulnerability. The unsafe handling of symbolic links in an unpacking routine may enable attackers to read and/or write to arbitrary locations outside the designated target folder. This issue may lead to arbitrary file write (with same permissions as the program running the unpack operation) if the attacker can control the archive file.

Missing Authorization

If remote logging is not used, the worker (in the case of CeleryExecutor) or the scheduler (in the case of LocalExecutor) runs a Flask logging server and is listening on a specific port and also binds on by default. This logging server had no authentication and allows reading log files of DAG jobs. This issue affects Apache Airflow

Information Exposure

The npm hbs package is an Express view engine wrapper for Handlebars. Depending on usage, users of hbs may be vulnerable to a file disclosure vulnerability. There is currently no patch for this vulnerability. hbs mixes pure template data with engine configuration options through the Express render API. By overwriting internal configuration options a file disclosure vulnerability may be triggered in downstream applications.

Improper Input Validation

Shopware is an open source eCommerce platform. contain a vulnerability that allows manipulation of product reviews via API. contains a patch. As workarounds for older versions of, corresponding security measures are also available via a plugin.

Cross-site Scripting

In the editor module of the Dolibarr editor scripts are executed in a victim’s browser when they open the page containing the vulnerable field. In the worst case, the victim who inadvertently triggers the attack is a highly privileged administrator. The injected scripts can extract the Session ID, which can lead to full Account takeover of the admin and due to other vulnerability (Improper Access Control on Private notes) a …

Use After Free

TensorFlow is an end-to-end open source platform for machine learning. some functions (such as MutableHashTableShape) produce extra output information in the form of a ShapeAndType struct.

Inconsistent Interpretation of HTTP Requests ('HTTP Request Smuggling')

Apache Tomcat 10.0.0-M1 to 10.0.6, 9.0.0.M1 to 9.0.46 and 8.5.0 to 8.5.66 did not correctly parse the HTTP transfer-encoding request header in some circumstances leading to the possibility to request smuggling when used with a reverse proxy. Specifically: - Tomcat incorrectly ignored the transfer encoding header if the client declared it would only accept an HTTP/1.0 response; - Tomcat honoured the identify encoding; and - Tomcat did not ensure that, …

Inconsistent Interpretation of HTTP Requests ('HTTP Request Smuggling')

Apache Tomcat 10.0.0-M1 to 10.0.6, 9.0.0.M1 to 9.0.46 and 8.5.0 to 8.5.66 did not correctly parse the HTTP transfer-encoding request header in some circumstances leading to the possibility to request smuggling when used with a reverse proxy. Specifically: - Tomcat incorrectly ignored the transfer encoding header if the client declared it would only accept an HTTP/1.0 response; - Tomcat honoured the identify encoding; and - Tomcat did not ensure that, …

Improper Handling of Exceptional Conditions

A vulnerability in Apache Tomcat allows an attacker to remotely trigger a denial of service. An error introduced as part of a change to improve error handling during non-blocking I/O meant that the error flag associated with the Request object was not reset between requests. This meant that once a non-blocking I/O error occurred, all future requests handled by that request object would fail. Users were able to trigger non-blocking …

Improper Handling of Exceptional Conditions

A vulnerability in Apache Tomcat allows an attacker to remotely trigger a denial of service. An error introduced as part of a change to improve error handling during non-blocking I/O meant that the error flag associated with the Request object was not reset between requests. This meant that once a non-blocking I/O error occurred, all future requests handled by that request object would fail. Users were able to trigger non-blocking …

Improper Authorization

OneFuzz is an open source self-hosted Fuzzing-As-A-Service platform. Starting with OneFuzz or greater, an incomplete authorization check allows an authenticated user from any Azure Active Directory tenant to make authorized API calls to a vulnerable OneFuzz instance. To be vulnerable, a OneFuzz deployment must be both or greater and deployed with the non-default –multi_tenant_domain option. This can result in read/write access to private data such as software vulnerability and crash …

Externally Controlled Reference to a Resource in Another Sphere

In the Druid ingestion system, the InputSource is used for reading data from a certain data source. However, the HTTP InputSource allows authenticated users to read data from other sources than intended, such as the local file system, with the privileges of the Druid server process. This is not an elevation of privilege when users access Druid directly, since Druid also provides the Local InputSource, which allows the same level …

Cross-site Scripting

ckeditor is an open source WYSIWYG HTML editor with rich content support. A potential vulnerability has been discovered in CKEdit The vulnerability allowed to inject malformed Fake Objects HTML, which could result in executing JavaScript code. It affects all users using the CKEditor 4 plugins listed above at The problem has been recognized and patched.

Cross-site Scripting

ckeditor is an open source WYSIWYG HTML editor with rich content support. A potential vulnerability has been discovered in CKEdit The vulnerability allowed to inject malformed Fake Objects HTML, which could result in executing JavaScript code. It affects all users using the CKEditor 4 plugins listed above at The problem has been recognized and patched.

Use of Uninitialized Resource

TensorFlow is an end-to-end open source platform for machine learning. The issue stems from the fact that quantization.params is only valid if quantization.type is different that kTfLiteNoQuantization.

Use After Free

TensorFlow is an end-to-end open source platform for machine learning. The implementation for tf.raw_ops.BoostedTreesCreateEnsemble can result in a use after free error if an attacker supplies specially crafted arguments. The implementation uses a reference counted resource and decrements the refcount if the initialization fails, as it should. However, when the code was written, the resource was represented as a naked pointer but later refactoring has changed it to be a …

Reachable Assertion

TensorFlow is an end-to-end open source platform for machine learning. Providing a negative element to num_elements list argument of tf.raw_ops.TensorListReserve causes the runtime to abort the process due to reallocating a std::vector to have a negative number of elements. The implementation calls std::vector.resize() with the new size controlled by input given by the user, without checking that this input is valid.

Out-of-bounds Write

TensorFlow is an end-to-end open source platform for machine learning. The implementation for tf.raw_ops.FractionalAvgPoolGrad can be tricked into accessing data outside of bounds of heap allocated buffers. The implementation does not validate that the input tensor is non-empty. Thus, code constructs an empty EigenDoubleMatrixMap and then accesses this buffer with indices that are outside of the empty area.

Out-of-bounds Write

TensorFlow is an end-to-end open source platform for machine learning. The implementation for tf.raw_ops.ExperimentalDatasetToTFRecord and tf.raw_ops.DatasetToTFRecord can trigger heap buffer overflow and segmentation fault. The implementation assumes that all records in the dataset are of string type. However, there is no check for that, and the example given above uses numeric types.

Out-of-bounds Read

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a read from outside of bounds of heap allocated data by sending invalid arguments to tf.raw_ops.ResourceScatterUpdate. The implementation has an incomplete validation of the relationship between the shapes of indices and updates, instead of checking that the shape of indices is a prefix of the shape of updates (so that broadcasting can happen), code only checks …

Out-of-bounds Read

TensorFlow is an end-to-end open source platform for machine learning. TFLite's expand_dims.cc contains a vulnerability which allows reading one element outside of bounds of heap allocated data. If axis is a large negative value (e.g., -100000), then after the first if it would still be negative. The check following the if statement will pass and the for loop would read one element before the start of input_dims.data (when i = …

Out-of-bounds Read

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a crash via a CHECK-fail in debug builds of TensorFlow using tf.raw_ops.ResourceGather or a read from outside the bounds of heap allocated data in the same API in a release build. The implementation does not check that the batch_dims value that the user supplies is less than the rank of the input tensor. Since the implementation …

Out-of-bounds Read

TensorFlow is an end-to-end open source platform for machine learning. The implementation of sparse reduction operations in TensorFlow can trigger accesses outside of bounds of heap allocated data. The implementation fails to validate that each reduction group does not overflow and that each corresponding index does not point to outside the bounds of the input tensor.

Out-of-bounds Read

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause undefined behavior via binding a reference to null pointer in all binary cwise operations that don't require broadcasting (e.g., gradients of binary cwise operations). The implementation assumes that the two inputs have exactly the same number of elements but does not check that. Hence, when the eigen functor executes it triggers heap OOB reads and undefined …

Out-of-bounds Read

TensorFlow is an end-to-end open source platform for machine learning. If the arguments to tf.raw_ops.RaggedGather don't determine a valid ragged tensor c ode can trigger a read from outside of bounds of heap allocated buffers. The implementation directly reads the first dimension of a tensor shape before checking that said tensor has rank of at least 1 (i.e., it is not a scalar). Furthermore, the implementation does not check that …

Out-of-bounds Read

TensorFlow is an end-to-end open source platform for machine learning. The implementation does not check that the length of example_labels is the same as the number of examples. We have patched the issue in GitHub commit a4e138660270e7599793fa438cd7b2fc2ce215a6. The fix will be included in TensorFlow We will also cherrypick this commit on TensorFlow, TensorFlow, and TensorFlow, as these are also affected and still in supported range.

Out-of-bounds Read

TensorFlow is an end-to-end open source platform for machine learning. TFLite's GatherNd does not support negative indices but there are no checks for this situation. Hence, an attacker can read arbitrary data from the heap by carefully crafting a model with negative values in indices. Similar issue exists in Gather.

Out-of-bounds Read

TensorFlow is an end-to-end open source platform for machine learning. An attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to BoostedTreesSparseCalculateBestFeatureSplit. The implementation needs to validate that each value in stats_summary_indices is in range.

Out-of-bounds Read

TensorFlow is an end-to-end open source platform for machine learning. The implementation does not validate the rank of sorted_input argument. A similar issue occurs in tf.raw_ops.LowerBound.

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. When a user does not supply arguments that determine a valid sparse tensor, tf.raw_ops.SparseTensorSliceDataset implementation can be made to dereference a null pointer. The implementation has some argument validation but fails to consider the case when either indices or values are provided for an empty sparse tensor when the other is not. If indices is empty, then code that performs …

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. which would result in a crash and denial of service. This is caused by the MLIR optimization of L2NormalizeReduceAxis operator. The implementation unconditionally dereferences a pointer to an iterator to a vector without checking that the vector has elements.

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. The code for tf.raw_ops.UncompressElement can be made to trigger a null pointer dereference. The implementation obtains a pointer to a CompressedElement from a Variant tensor and then proceeds to dereference it for decompressing. There is no check that the Variant tensor contained a CompressedElement, so the pointer is actually nullptr.

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. When restoring tensors via raw APIs, if the tensor name is not provided, TensorFlow can be tricked into dereferencing a null pointer. Alternatively, attackers can read memory outside the bounds of heap allocated data by providing some tensor names but not enough for a successful restoration. The implementation retrieves the tensor list corresponding to the tensor_name user controlled input and …

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. The implementation of SVDF in TFLite is vulnerable to a null pointer error. The GetVariableInput function can return a null pointer but GetTensorData assumes that the argument is always a valid tensor. Furthermore, because GetVariableInput calls GetMutableInput which might return nullptr, the tensor->is_variable expression can also trigger a null pointer exception.

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. The code for tf.raw_ops.SaveV2 does not properly validate the inputs and an attacker can trigger a null pointer dereference. The implementation uses ValidateInputs to check that the input arguments are valid. This validation would have caught the illegal state represented by the reproducer above. However, the validation uses OP_REQUIRES which translates to setting the Status object of the current OpKernelContext …

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. Sending invalid argument for row_partition_types of tf.raw_ops.RaggedTensorToTensor API results in a null pointer dereference and undefined behavior. The implementation accesses the first element of a user supplied list of values without validating that the provided list is not empty.

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. It is possible to trigger a null pointer dereference in TensorFlow by passing an invalid input to tf.raw_ops.CompressElement. The implementation was accessing the size of a buffer obtained from the return of a separate function call before validating that said buffer is valid.

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. An attacker can craft a TFLite model that would trigger a null pointer dereference, which would result in a crash and denial of service. The implementation unconditionally dereferences a pointer.

NULL Pointer Dereference

TensorFlow is an end-to-end open source platform for machine learning. If a user does not provide a valid padding value to tf.raw_ops.MatrixDiagPartOp, then the code triggers a null pointer dereference (if input is empty) or produces invalid behavior, ignoring all values after the first. The implementation reads the first value from a tensor buffer without first checking that the tensor has values to read from.

Loop with Unreachable Exit Condition (Infinite Loop)

TensorFlow is an end-to-end open source platform for machine learning. The strided slice implementation in TFLite has a logic bug which can allow an attacker to trigger an infinite loop. This arises from newly introduced support for ellipsis in axis definition. An attacker can craft a model such that ellipsis_end_idx is smaller than i (e.g., always negative). In this case, the inner loop does not increase i and the continue …

Insecure Storage of Sensitive Information

WAL-G, when a non-libsodium build (e.g., one of the official binary releases published as GitHub Releases) is used, silently ignores the libsodium encryption key and uploads cleartext backups. This is arguably a Principle of Least Surprise violation because "the user likely wanted to encrypt all file activity."

Incorrect Conversion between Numeric Types

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.raw_ops.QuantizeAndDequantizeV4Grad is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. The implementation uses the axis value as the size argument to absl::InlinedVector constructor. But, the constructor uses an unsigned type for the argument, so the implicit conversion transforms the negative …

Incorrect Conversion between Numeric Types

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service in boosted_trees_create_quantile_stream_resource by using negative arguments. The implementation does not validate that num_streams only contains non-negative numbers. In turn, this results in using this value to allocate memory. However, reserve receives an unsigned integer so there is an implicit conversion from a negative value to a large positive unsigned. This results in …

Incorrect Conversion between Numeric Types

TensorFlow is an end-to-end open source platform for machine learning. However, if the input tensor is a RaggedTensor and there is no function signature provided, code assumes the output is a fully specified tensor and fills output buffer with uninitialized contents from the heap.

Incorrect Conversion between Numeric Types

TensorFlow is an end-to-end open source platform for machine learning. The implementation uses a user controlled argument to resize a std::vector. However, as std::vector::resize takes the size argument as a size_t and output_size is an int, there is an implicit conversion to unsigned. If the attacker supplies a negative value, this conversion results in a crash. A similar issue occurs in CombinedNonMaxSuppression. We have patched the issue in GitHub commit …

Incorrect Conversion between Numeric Types

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.raw_ops.StringNGrams is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. The implementation calls reserve on a tstring with a value that sometimes can be negative if user supplies negative ngram_widths. The reserve method calls TF_TString_Reserve which has an unsigned long …

Improper Input Validation

TensorFlow is an end-to-end open source platform for machine learning. The shape inference implementation uses axis to select between two different values for minmax_rank which is then used to retrieve tensor dimensions. However, code assumes that axis can be either -1 or a value greater than -1, with no validation for the other values. We have patched the issue in GitHub commit da857cfa0fde8f79ad0afdbc94e88b5d4bbec764. The fix will be included in TensorFlow …

Improper Input Validation

TensorFlow is an end-to-end open source platform for machine learning. The implementation misses some validation for the orig_input and orig_output tensors. The fixes for CVE-2021-29579 were incomplete.

Improper Input Validation

TensorFlow is an end-to-end open source platform for machine learning. The implementation does not check that the key input is a valid non-empty tensor. We have patched the issue in GitHub commit d7de67733925de196ec8863a33445b73f9562d1d. The fix will be included in TensorFlow We will also cherrypick this commit on TensorFlow, TensorFlow, and TensorFlow, as these are also affected and still in supported range.

Improper Input Validation

TensorFlow is an end-to-end open source platform for machine learning. an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap allocated arrays.

Improper Input Validation

TensorFlow is an end-to-end open source platform for machine learning. Go code can trigger a segfault in string deallocation. For string tensors, C.TF_TString_Dealloc is called during garbage collection within a finalizer function. However, tensor structure isn't checked until encoding to avoid a performance penalty. The current method for dealloc assumes that encoding succeeded, but segfaults when a string tensor is garbage collected whose encoding failed (e.g., due to mismatched dimensions). …

Improper Input Validation

TensorFlow is an end-to-end open source platform for machine learning. an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap allocated arrays.

Exposure of Resource to Wrong Sphere

PhpFastCache is a high-performance backend cache system (packagist package phpfastcache/phpfastcache). the phpinfo() can be exposed if the /vendor is not protected from public access. This is a rare situation today since the vendor directory is often located outside the web directory or protected via server rule (.htaccess, etc).

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a crash via a floating point exception in tf.raw_ops.ResourceGather. The implementation computes the value of a value, batch_size, and then divides by it without checking that this value is not

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.raw_ops.ResourceScatterDiv is vulnerable to a division by 0 error. The implementation uses a common class for all binary operations but fails to treat the division by 0 case separately.

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.raw_ops.SparseReshape can be made to trigger an integral division by 0 exception. The implementation calls the reshaping functor whenever there is at least an index in the input but does not check that shape of the input or the target shape have both a non-zero number of elements. The reshape functor blindly divides by the dimensions of …

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. The shape inference implementation is missing several validations before doing divisions and modulo operations.

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. An attacker can craft a TFLite model that would trigger a division by zero error in LSH.

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. The implementation of fully connected layers in TFLite is vulnerable to a division by zero error.

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. The implementation of division in TFLite is vulnerable to a division by 0 error. There is no check that the divisor tensor does not contain zero elements.

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. The implementation does not check that the tensor subsumed by dims is not empty. Hence, if one element of dims is 0, the implementation does a division by We have patched the issue in GitHub commit a776040a5e7ebf76eeb7eb923bf1ae417dd4d233. The fix will be included in TensorFlow We will also cherrypick this commit on TensorFlow, TensorFlow, and TensorFlow, as these are also affected …

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. The implementations of pooling in TFLite are vulnerable to division by 0 errors as there are no checks for divisors not being

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a floating point exception by calling inplace operations with crafted arguments that would result in a division by The implementation has a logic error, it should skip processing if x and v are empty but the code uses || instead of &&.

Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.raw_ops.SparseDenseCwiseDiv is vulnerable to a division by 0 error. The implementation uses a common class for all binary operations but fails to treat the division by 0 case separately.

Deserialization of Untrusted Data

TensorFlow is an end-to-end open source platform for machine learning. The implementation uses yaml.unsafe_load which can perform arbitrary code execution on the input. Given that YAML format support requires a significant amount of work, we have removed it for now. We have patched the issue in GitHub commit d6383eb6c14084a8fc3bdf164043b974818012. The fix will be included in TensorFlow We will also cherrypick this commit on TensorFlow, TensorFlow, and TensorFlow, as these are …

Cross-site Scripting

ckeditor is an open source WYSIWYG HTML editor with rich content support. A vulnerability has been discovered in the clipboard Widget plugin if used alongside the undo feature. The vulnerability allows a user to abuse undo functionality using malformed widget HTML, which could result in executing JavaScript code. It affects all users using the CKEditor 4 plugins listed above at The problem has been recognized and patched. The fix will …

Cross-site Scripting

ckeditor is an open source WYSIWYG HTML editor with rich content support. A vulnerability has been discovered in the clipboard Widget plugin if used alongside the undo feature. The vulnerability allows a user to abuse undo functionality using malformed widget HTML, which could result in executing JavaScript code. It affects all users using the CKEditor 4 plugins listed above at The problem has been recognized and patched. The fix will …

Code Injection

ckeditor is an open source WYSIWYG HTML editor with rich content support. A potential vulnerability has been discovered in CKEdit The vulnerability allowed to abuse paste functionality using malformed HTML, which could result in injecting arbitrary HTML into the editor.

Code Injection

ckeditor is an open source WYSIWYG HTML editor with rich content support. A potential vulnerability has been discovered in CKEditor 4 Clipboard. The vulnerability allowed to abuse paste functionality using malformed HTML, which could result in injecting arbitrary HTML into the editor. It affects all users using the CKEditor 4 plugins listed above at The problem has been recognized and patched.

Access of Uninitialized Pointer

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause undefined behavior via binding a reference to null pointer in tf.raw_ops.RaggedTensorToVariant. The implementation has an incomplete validation of the splits values, missing the case when the argument would be empty.

Access of Uninitialized Pointer

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause undefined behavior via binding a reference to null pointer in all operations of type tf.raw_ops.MatrixDiagV*. The implementation has incomplete validation that the value of k is a valid tensor. We have check that this value is either a scalar or a vector, but there is no check for the number of elements. If this is an …

Access of Uninitialized Pointer

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause undefined behavior via binding a reference to null pointer in all operations of type tf.raw_ops.MatrixSetDiagV*. The implementation has incomplete validation that the value of k is a valid tensor. We have check that this value is either a scalar or a vector, but there is no check for the number of elements. If this is an …

Access of Uninitialized Pointer

TensorFlow is an end-to-end open source platform for machine learning. An attacker can generate undefined behavior via a reference binding to nullptr in BoostedTreesCalculateBestGainsPerFeature and similar attack can occur in BoostedTreesCalculateBestFeatureSplitV2. The implementation does not validate the input values.

Access of Uninitialized Pointer

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause undefined behavior via binding a reference to null pointer in tf.raw_ops.UnicodeEncode. The implementation reads the first dimension of the input_splits tensor before validating that this tensor is not empty.

Access of Uninitialized Pointer

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause undefined behavior via binding a reference to null pointer in tf.raw_ops.SparseFillEmptyRows. The shape inference implementation does not validate that the input arguments are not empty tensors.

Access of Uninitialized Pointer

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause undefined behavior via binding a reference to null pointer in tf.raw_ops.Map* and tf.raw_ops.OrderedMap* operations. The implementation has a check in place to ensure that indices is in ascending order, but does not check that indices is not empty.

Access of Uninitialized Pointer

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause undefined behavior via binding a reference to null pointer in tf.raw_ops.RaggedTensorToSparse. The implementation has an incomplete validation of the splits values it does not check that they are in increasing order.

Improper Privilege Management

Contao is an open source CMS that allows creation of websites and scalable web applications.All users are advised to update to Contao As a workaround users may disable the form generator or disable the login for untrusted back end users.

Code Injection

Contao is an open source CMS that allows you to create websites and scalable web applications.Update to Contao to resolve. If you cannot update then disable the login for untrusted back end users.

Incorrect Authorization

Serverless Offline returns a HTTP status code for a route that has a trailing / character, which might cause a developer to implement incorrect access control, because the actual behavior within the Amazon AWS environment is a HTTP status code (i.e., possibly greater than expected permissions).

Cross-site Scripting

TYPO3 is an open source PHP based web content management system released under the GNU GPL. sanitize and encode malicious rich-text content, the content rendering process in the website frontend is vulnerable to cross-site scripting. Corresponding rendering instructions via TypoScript functionality HTMLparser does not consider all potentially malicious HTML tag & attribute combinations per default. In default scenarios, a valid backend user account is needed to exploit this vulnerability. In …

Cross-site Scripting

TYPO3 is vulnerable to cross-site scripting. Corresponding rendering instructions via TypoScript functionality HTMLparser does not consider all potentially malicious HTML tag & attribute combinations per default. In default scenarios, a valid backend user account is needed to exploit this vulnerability. In case custom plugins used in the website frontend accept and reflect rich-text content submitted by users, no authentication is required.

Unrestricted Upload of File with Dangerous Type

23andMe Yamale allows remote attackers to execute arbitrary code via a crafted schema file. The schema parser uses eval as part of its processing, and tries to protect from malicious expressions by limiting the builtins that are passed to the eval. When processing the schema, each line is run through Python's eval function to make the validator available. A well-constructed string within the schema rules can execute system commands; thus, …

Uncontrolled Recursion

In Elasticsearch versions before 7.13.3 and 6.8.17 an uncontrolled recursion vulnerability that could lead to a denial of service attack was identified in the Elasticsearch Grok parser. A user with the ability to submit arbitrary queries to Elasticsearch could create a malicious Grok query that will crash the Elasticsearch node.

Missing Encryption of Sensitive Data

While investigating DIRSTUDIO-1219 it was noticed that configured StartTLS encryption was not applied when any SASL authentication mechanism (DIGEST-MD5, GSSAPI) was used. While investigating DIRSTUDIO-1220 it was noticed that any configured SASL confidentiality layer was not applied. This issue affects Apache Directory Studio version 2.0.0.v20210213-M16 and prior versions.

Incorrect Authorization

Dolibarr applications do not restrict, or incorrectly restricts, access to a resource from an unauthorized actor. A low privileged attacker can modify the Private Note which only an administrator should have rights to do, the affected field is in the /adherents/note.php?id=1 endpoint.

Deserialization of Untrusted Data

Apache jUDDI uses several classes related to Java's Remote Method Invocation (RMI) which (as an extension to UDDI) provides an alternate transport for accessing UDDI services. RMI uses the default Java serialization mechanism to pass parameters in RMI invocations. A remote attacker can send a malicious serialized object to the above RMI entries. The objects get deserialized without any check on the incoming data. In the worst case, it may …

Cross-site Scripting

JupyterLab is a user interface for Project Jupyter which will eventually replace the classic Jupyter Notebook. JupyterLab doesn’t sanitize the action attribute of html <form>. Using this, it is possible to trigger the form validation outside of the form itself. This is a remote code execution, but requires user action to open a notebook.

Cross-site Scripting

The Jupyter notebook is a web-based notebook environment for interactive computing. Jupyter Notebook uses a deprecated version of Google Caja to sanitize user inputs. A public Caja bypass can be used to trigger an XSS when a victim opens a malicious ipynb document in Jupyter Notebook. The XSS allows an attacker to execute arbitrary code on the victim computer using Jupyter APIs.

Use of Incorrectly-Resolved Name or Reference

libcurl keeps previously used connections in a connection pool for subsequent transfers to reuse, if one of them matches the setup. Due to errors in the logic, the config matching function does not take issuercert into account and it compared the involved paths case insensitively, which could lead to libcurl reusing wrong connections. File paths are, or can be, case sensitive on many systems but not all, and can even …

Storage corruption due to variables overwritten by re-entrancy locks

Background When attempting to use the v0.2.14 release, @pandadefi discovered an issue using the @nonreentrant decorator. Impact Reentrancy protection storage slots get allocated to the same slots as storage variables, leading to the corruption of storage variables when using the @nonreentrant decorator. Patches This issue was fixed in v0.2.15 in #2391, #2379 Workarounds Don't use the @nonreentrant decorator in these versions.

Improper Input Validation

A flaw was found in the way nettle's RSA decryption functions handled specially crafted ciphertext. An attacker could use this flaw to provide a manipulated ciphertext leading to application crash and denial of service.

Improper Control of Dynamically-Managed Code Resources

Traefik is an HTTP reverse proxy and load balancer. Prior to version 2.4.13, there exists a potential header vulnerability in Traefik's handling of the Connection header. Active exploitation of this issue is unlikely, as it requires that a removed header would lead to a privilege escalation, however, the Traefik team has addressed this issue to prevent any potential abuse. If one has a chain of Traefik middlewares, and one of …

Improper Control of Dynamically-Managed Code Resources

Traefik is an HTTP reverse proxy and load balancer. Prior to version 2.4.13, there exists a potential header vulnerability in Traefik's handling of the Connection header. Active exploitation of this issue is unlikely, as it requires that a removed header would lead to a privilege escalation, however, the Traefik team has addressed this issue to prevent any potential abuse. If one has a chain of Traefik middlewares, and one of …

Use After Free

Use after free in Blink XSLT in Google Chrome prior to 91.0.4472.164 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.

SQL Injection

A SQL injection vulnerability in a MediaWiki script in Centreon allows remote unauthenticated attackers to execute arbitrary SQL commands via the host_name and service_description parameters.

SQL Injection

A SQL injection vulnerability in image generation in Centreon allows remote authenticated (but low-privileged) attackers to execute arbitrary SQL commands via the include/views/graphs/generateGraphs/generateImage.php index parameter.

SQL Injection

A SQL injection vulnerability in reporting export in Centreon allows remote authenticated (but low-privileged) attackers to execute arbitrary SQL commands via the include/reporting/dashboard/csvExport/csv_HostGroupLogs.php start and end parameters.

Path Traversal

An issue was discovered in Grafana Loki The header value X-Scope-OrgID is used to construct file paths for rules files, and if crafted to conduct directory traversal such as a ../../sensitive/path/in/deployment pathname, then Loki will attempt to parse a rules file at that location and include some of the contents in the error message.

Path Traversal

An issue was discovered in Grafana Cortex The header value X-Scope-OrgID is used to construct file paths for rules files, and if crafted to conduct directory traversal such as as ../../sensitive/path/in/deployment pathname, then Cortex will attempt to parse a rules file at that location and include some of the contents in the error message.

Improperly Controlled Modification of Object Prototype Attributes

Impact The software receives input from an upstream component that specifies attributes that are to be initialized or updated in an object, but it does not properly control modifications of attributes of the object prototype. Patches think-config@1.1.3 patched it, anyone used think-config should upgrade to >=1.1.3 version. References https://cwe.mitre.org/data/definitions/1321.html For more information If you have any questions or comments about this advisory: Open an issue in thinkjs/thinkjs Email us at …

Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')

The npm package "tar" (aka node-tar) before versions 6.1.2, 5.0.7, 4.4.15, and 3.2.3 has an arbitrary File Creation/Overwrite vulnerability via insufficient symlink protection. node-tar aims to guarantee that any file whose location would be modified by a symbolic link is not extracted. This is, in part, achieved by ensuring that extracted directories are not symlinks. Additionally, in order to prevent unnecessary stat calls to determine whether a given path is …

Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')

The npm package "tar" (aka node-tar) before versions 6.1.1, 5.0.6, 4.4.14, and 3.3.2 has a arbitrary File Creation/Overwrite vulnerability due to insufficient absolute path sanitization. node-tar aims to prevent extraction of absolute file paths by turning absolute paths into relative paths when the preservePaths flag is not set to true. This is achieved by stripping the absolute path root from any absolute file paths contained in a tar file. For …

Incorrect Access Control in Nacos

Nacos 1.1.4 is affected by: Incorrect Access Control. An environment can be set up locally to get the service details interface. Then other Nacos service names can be accessed through the service list interface. Service details can then be accessed when not logged in. (detail:https://github.com/alibaba/nacos/issues/2284)

Jul 2021

SQL Injection

SQL Injection vulnerability in NukeViet CMS module Shops via the (1) listid parameter in detail.php and the (2) group_price or groupid parameters in search_result.php.

Out-of-bounds Write

A remote code execution vulnerability exists in the way that the scripting engine handles objects in memory in Internet Explorer, aka 'Scripting Engine Memory Corruption Vulnerability'. This CVE ID is unique from CVE-2020-0768, CVE-2020-0823, CVE-2020-0825, CVE-2020-0826, CVE-2020-0827, CVE-2020-0828, CVE-2020-0829, CVE-2020-0830, CVE-2020-0831, CVE-2020-0833, CVE-2020-0848.

Out-of-bounds Write

A remote code execution vulnerability exists in the way that the scripting engine handles objects in memory in Internet Explorer, aka 'Scripting Engine Memory Corruption Vulnerability'. This CVE ID is unique from CVE-2020-0768, CVE-2020-0823, CVE-2020-0825, CVE-2020-0826, CVE-2020-0827, CVE-2020-0828, CVE-2020-0829, CVE-2020-0830, CVE-2020-0831, CVE-2020-0832, CVE-2020-0848.

Missing Authentication for Critical Function

An issue was discovered in Mirumee Sale Incorrect access control in the checkoutCustomerAttach mutations allows attackers to attach their checkouts to any user ID and consequently leak user data (e.g., name, address, and previous orders of any other customer).

Improper Encoding or Escaping of Output

xmldom is an open source pure JavaScript W3C standard-based (XML DOM Level 2 Core) DOMParser and XMLSerializer module. xmldom do not correctly escape special characters when serializing elements removed from their ancestor. This may lead to unexpected syntactic changes during XML processing in some downstream applications. This issue has been resolved As a workaround downstream applications can validate the input and reject the maliciously crafted documents.

Improper Encoding or Escaping of Output

xmldom is an open source pure JavaScript W3C standard-based (XML DOM Level 2 Core) DOMParser and XMLSerializer module. xmldom versions 0.6.0 and older do not correctly escape special characters when serializing elements removed from their ancestor. This may lead to unexpected syntactic changes during XML processing in some downstream applications. This issue has been resolved in version 0.7.0. As a workaround downstream applications can validate the input and reject the …

SQL Injection

Woocommerce is an open source eCommerce plugin for WordPress. An SQL injection vulnerability impacts all WooCommerce sites running the WooCommerce plugin between Malicious actors (already) having admin access, or API keys to the WooCommerce site can exploit vulnerable endpoints of /wp-json/wc/v3/webhooks, /wp-json/wc/v2/webhooks and other webhook listing API. Read-only SQL queries can be executed using this exploit, while data will not be returned, by carefully crafting search parameter information can be …

Insecure Default Initialization of Resource

As of v1.5.0, the default admin password is set to the argocd-server pod name. For insiders with access to the cluster or logs, this issue could be abused for privilege escalation, as Argo has privileged roles. A malicious insider is the most realistic threat, but pod names are not meant to be kept secret and could wind up just about anywhere.

Insecure Default Initialization of Resource

As of v1.5.0, the default admin password is set to the argocd-server pod name. For insiders with access to the cluster or logs, this issue could be abused for privilege escalation, as Argo has privileged roles. A malicious insider is the most realistic threat, but pod names are not meant to be kept secret and could wind up just about anywhere.

Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')

Micronaut is a JVM-based, full stack Java framework designed for building JVM applications. A path traversal vulnerability exists in versions prior to 2.5.9. With a basic configuration, it is possible to access any file from a filesystem, using "/../../" in the URL. This occurs because Micronaut does not restrict file access to configured paths. The vulnerability is patched in version 2.5.9. As a workaround, do not use ** in mapping, …

Cross-site Scripting

Cross Site Scripting (XSS) vulnerabiity exists in LavaLite CMS via the Menu Blocks feature, which can be bypassed by using HTML event handlers, such as "ontoggle,".

Prototype Pollution

This affects the package jszip Crafting a new zip file with filenames set to Object prototype values (e.g proto, toString, etc) results in a returned object with a modified prototype instance.

Out-of-bounds Write

Passing an attacker controlled size when creating an IOBuf could cause integer overflow, leading to an out-of-bounds write on the heap with the possibility of remote code execution.

Externally Controlled Reference to a Resource in Another Sphere

Contour is a Kubernetes ingress controller using Envoy proxy. In Contour a specially crafted ExternalName type Service may be used to access Envoy's admin interface, which Contour normally prevents from access outside the Envoy container. This can be used to shut down Envoy remotely (a denial of service), or to expose the existence of any Secret that Envoy is using for its configuration, including most notably TLS Keypairs.

Command Injection

All versions of package gitlogplus is vulnerable to Command Injection via the main functionality, as options attributes are appended to the command to be executed without sanitization.

Cross-site Scripting

Affected versions of this package are vulnerable to Cross-site Scripting (XSS) via the main functionality. It accepts input that can result in the output (an anchor a tag) containing undesirable Javascript code that can be executed upon user interaction.

Cross-site Scripting

TYPO3 contains a cross-site scripting vulnerability. When Page TSconfig settings are not properly encoded, corresponding page preview module (Web>View) is vulnerable to persistent cross-site scripting. A valid backend user account is needed to exploit this vulnerability. TYPO3 contain a patch for this issue.

Cross-site Scripting

TYPO3 contains a cross-site scripting vulnerability. When error messages are not properly encoded, the components QueryGenerator and QueryView are vulnerable to both reflected and persistent cross-site scripting. A valid backend user account having administrator privileges is needed to exploit this vulnerability. TYPO3 contain a patch for this issue.

Cross-site Scripting

TYPO3 contains a cross-site scripting vulnerability. When settings for backend layouts are not properly encoded, the corresponding grid view is vulnerable to persistent cross-site scripting. A valid backend user account is needed to exploit this vulnerability. TYPO3 contain a patch for this vulnerability.

Cross-site Scripting

TYPO3 is an open source PHP based web content management system. have a cross-site scripting vulnerability. When settings for backend layouts are not properly encoded, the corresponding grid view is vulnerable to persistent cross-site scripting. A valid backend user account is needed to exploit this vulnerability. TYPO3 contain a patch for this vulnerability.

Cross-site Scripting

TYPO3 contains a cross-site scripting vulnerability. When error messages are not properly encoded, the components QueryGenerator and QueryView are vulnerable to both reflected and persistent cross-site scripting. A valid backend user account having administrator privileges is needed to exploit this vulnerability. TYPO3 contain a patch for this issue.

Cross-site Scripting

TYPO3 contains a cross-site scripting vulnerability. When Page TSconfig settings are not properly encoded, corresponding page preview module (Web>View) is vulnerable to persistent cross-site scripting. A valid backend user account is needed to exploit this vulnerability. TYPO3 contain a patch for this issue.

Improper Removal of Sensitive Information Before Storage or Transfer

An information disclosure flaw was found in Buildah, when building containers using chroot isolation. Running processes in container builds (e.g. Dockerfile RUN commands) can access environment variables from parent and grandparent processes. When run in a container in a CI/CD environment, environment variables may include sensitive information that was shared with the container in order to be used only by Buildah itself (e.g. container registry credentials).

Exposure of Resource to Wrong Sphere

containerd is a container runtime. A bug was found in containerd where pulling and extracting a specially-crafted container image can result in Unix file permission changes for existing files in the host’s filesystem. Changes to file permissions can deny access to the expected owner of the file, widen access to others, or set extended bits like setuid, setgid, and sticky. This bug does not directly allow files to be read, …

chroot isolation: environment value leakage to intermediate processes

Impact When running processes using "chroot" isolation, the process being run can examine the environment variables of its immediate parent and grandparent processes (CVE-2021-3602). This isolation type is often used when running buildah in unprivileged containers, and it is often used to do so in CI/CD environments. If sensitive information is exposed to the original buildah process through its environment, that information will unintentionally be shared with child processes which …

SQL Injection

An issue was discovered in Centreon-Web in Centreon Platform A SQL injection vulnerability in "Configuration > Users > Contacts / Users" allows remote authenticated users to execute arbitrary SQL commands via the Additional Information parameters.

Path Traversal

Micronaut is a JVM-based, full stack Java framework designed for building JVM applications. With a basic configuration, it is possible to access any file from a filesystem, using "/../../" in the URL. This occurs because Micronaut does not restrict file access to configured paths.

Cross-site Scripting

An issue was discovered in Centreon-Web in Centreon Platform A Stored Cross-Site Scripting (XSS) issue in "Configuration > Hosts" allows remote authenticated users to inject arbitrary web script or HTML via the Alias parameter.

Insufficiently Protected Credentials

Gatsby is a framework for building websites. The gatsby-source-wordpress plugin leaks .htaccess HTTP Basic Authentication variables into the app.js bundle during build-time. Users who are not initializing basic authentication credentials in the gatsby-config.js are not affected.