Advisories

Feb 2022

Improper Authentication in Kubernetes

The Kubelet and kube-proxy components in versions 1.1.0-1.16.10, 1.17.0-1.17.6, and 1.18.0-1.18.3 were found to contain a security issue which allows adjacent hosts to reach TCP and UDP services bound to 127.0.0.1 running on the node or in the node's network namespace. Such a service is generally thought to be reachable only by other processes on the same host, but due to this defeect, could be reachable by other hosts on …

Improper Authentication

The Kubelet and kube-proxy components in versions 1.1.0-1.16.10, 1.17.0-1.17.6, and 1.18.0-1.18.3 were found to contain a security issue which allows adjacent hosts to reach TCP and UDP services bound to 127.0.0.1 running on the node or in the node's network namespace. Such a service is generally thought to be reachable only by other processes on the same host, but due to this defeect, could be reachable by other hosts on …

Improper Authentication

etcd versions 3.2.x before 3.2.26 and 3.3.x before 3.3.11 is vulnerable to an improper authentication issue when role-based access control (RBAC) is used and client-cert-auth is enabled. If an etcd client server TLS certificate contains a Common Name (CN) which matches a valid RBAC username, a remote attacker may authenticate as that user with any valid (trusted) client certificate in a REST API request to the gRPC-gateway.

Import token permissions checking not enforced

The NATS server provides for Subjects which are namespaced by Account; all Subjects are supposed to be private to an account, with an Export/Import system used to grant cross-account access to some Subjects. Some Exports are public, such that anyone can import the relevant subjects, and some Exports are private, such that the Import requires a token JWT to prove permission. The JWT library's validation of the bindings in the …

Import token permissions checking not enforced

The NATS server provides for Subjects which are namespaced by Account; all Subjects are supposed to be private to an account, with an Export/Import system used to grant cross-account access to some Subjects. Some Exports are public, such that anyone can import the relevant subjects, and some Exports are private, such that the Import requires a token JWT to prove permission. The JWT library's validation of the bindings in the …

Exposure of Sensitive Information to an Unauthorized Actor

Clusters using Calico (version 3.14.0 and below), Calico Enterprise (version 2.8.2 and below), may be vulnerable to information disclosure if IPv6 is enabled but unused. A compromised pod with sufficient privilege is able to reconfigure the node’s IPv6 interface due to the node accepting route advertisement by default, allowing the attacker to redirect full or partial network traffic from the node to the compromised pod.

Exposure of Sensitive Information to an Unauthorized Actor

Clusters using Calico (version 3.14.0 and below), Calico Enterprise (version 2.8.2 and below), may be vulnerable to information disclosure if IPv6 is enabled but unused. A compromised pod with sufficient privilege is able to reconfigure the node’s IPv6 interface due to the node accepting route advertisement by default, allowing the attacker to redirect full or partial network traffic from the node to the compromised pod.

Denial of Service in Packetbeat

Packetbeat versions prior to 5.6.4 are affected by a denial of service flaw in the PostgreSQL protocol handler. If Packetbeat is listening for PostgreSQL traffic and a user is able to send arbitrary network traffic to the monitored port, the attacker could prevent Packetbeat from properly logging other PostgreSQL traffic.

Denial of service in github.com/nats-io/nats-server/server

This affects all versions of package github.com/nats-io/nats-server/server. Untrusted accounts are able to crash the server using configs that represent a service export/import cycles. Disclaimer from the maintainers: Running a NATS service which is exposed to untrusted users presents a heightened risk. Any remote execution flaw or equivalent seriousness, or denial-of-service by unauthenticated users, will lead to prompt releases by the NATS maintainers. Fixes for denial of service issues with no …

Denial of service in github.com/nats-io/nats-server/server

This affects all versions of package github.com/nats-io/nats-server/server. Untrusted accounts are able to crash the server using configs that represent a service export/import cycles. Disclaimer from the maintainers: Running a NATS service which is exposed to untrusted users presents a heightened risk. Any remote execution flaw or equivalent seriousness, or denial-of-service by unauthenticated users, will lead to prompt releases by the NATS maintainers. Fixes for denial of service issues with no …

Denial of service

This affects all versions of package github.com/nats-io/nats-server/server. Untrusted accounts are able to crash the server using configs that represent a service export/import cycles. Disclaimer from the maintainers: Running a NATS service which is exposed to untrusted users presents a heightened risk. Any remote execution flaw or equivalent seriousness, or denial-of-service by unauthenticated users, will lead to prompt releases by the NATS maintainers. Fixes for denial of service issues with no …

Denial of service

This affects all versions of package github.com/nats-io/nats-server/server. Untrusted accounts are able to crash the server using configs that represent a service export/import cycles. Disclaimer from the maintainers: Running a NATS service which is exposed to untrusted users presents a heightened risk. Any remote execution flaw or equivalent seriousness, or denial-of-service by unauthenticated users, will lead to prompt releases by the NATS maintainers. Fixes for denial of service issues with no …

Cross-Site Request Forgery (CSRF)

A cross-site request forgery flaw was found in etcd 3.3.1 and earlier. An attacker can set up a website that tries to send a POST request to the etcd server and modify a key. Adding a key is done with PUT so it is theoretically safe (can't PUT from an HTML form or such) but POST allows creating in-order keys that an attacker can send.

Cross-Site Request Forgery (CSRF)

A cross-site request forgery flaw was found in etcd 3.3.1 and earlier. An attacker can set up a website that tries to send a POST request to the etcd server and modify a key. Adding a key is done with PUT so it is theoretically safe (can't PUT from an HTML form or such) but POST allows creating in-order keys that an attacker can send.

Authorization bypass in Istio

In Istio 1.5.0 though 1.5.8 and Istio 1.6.0 through 1.6.7, when users specify an AuthorizationPolicy resource with DENY actions using wildcard suffixes (e.g. *-some-suffix) for source principals or namespace fields, callers will never be denied access, bypassing the intended policy.

Authentication Bypass by Capture-replay

Cosmos Network Ethermint <= v0.4.0 is affected by a cross-chain transaction replay vulnerability in the EVM module. Since ethermint uses the same chainIDEpoch and signature schemes with ethereum for compatibility, a verified signature in ethereum is still valid in ethermint with the same msg content and chainIDEpoch, which enables "cross-chain transaction replay" attack.

Allocation of Resources Without Limits or Throttling

The Kubelet component in versions 1.15.0-1.15.9, 1.16.0-1.16.6, and 1.17.0-1.17.2 has been found to be vulnerable to a denial of service attack via the kubelet API, including the unauthenticated HTTP read-only API typically served on port 10255, and the authenticated HTTPS API typically served on port 10250.

Unrestricted Upload of File with Dangerous Type

Drupal's JSON:API and REST/File modules allow file uploads through their HTTP APIs. The modules do not correctly run all file validation, which causes an access bypass vulnerability. An attacker might be able to upload files that bypass the file validation process implemented by modules on the site.

TLS certificate validation error

In mellium.im/xmpp, an attacker capable of spoofing DNS TXT records can redirect a WebSocket connection request to a server under their control without causing TLS certificate verification to fail. This occurs because the wrong host name is selected during this verification.

Incorrect Authorization

The QuickEdit module does not properly check access to fields in some circumstances, which can lead to unintended disclosure of field data. Sites are only affected if the QuickEdit module (which comes with the Standard profile) is installed.

Improper Link Resolution Before File Access ('Link Following')

DBdeployer is a tool that deploys MySQL database servers easily. In DBdeployer, users unpacking a tarball may use a maliciously packaged tarball that contains symlinks to files external to the target. In such scenario, an attacker could induce dbdeployer to write into a system file, thus altering the computer defenses. For the attack to succeed, the following factors need to contribute: 1) The user is logged in as root. While …

Exposure of Resource to Wrong Sphere

Information Disclosure vulnerability in file module of Drupal Core allows an attacker to gain access to the file metadata of a permanent private file that they do not have access to by guessing the ID of the file. This issue affects: Drupal Core 8.8.x versions prior to 8.8.10; 8.9.x versions prior to 8.9.6; 9.0.x versions prior to 9.0.6.

Exposure of Resource to Wrong Sphere

Information Disclosure vulnerability in file module of Drupal Core allows an attacker to gain access to the file metadata of a permanent private file that they do not have access to by guessing the ID of the file. This issue affects: Drupal Core 8.8.x versions prior to 8.8.10; 8.9.x versions prior to 8.9.6; 9.0.x versions prior to 9.0.6.

Cross-Site Request Forgery (CSRF)

The QuickEdit module does not properly validate access to routes, which could allow cross-site request forgery under some circumstances and lead to possible data integrity issues. Sites are only affected if the QuickEdit module (which comes with the Standard profile) is installed. Removing the "access in-place editing" permission from untrusted users will not fully mitigate the vulnerability.

Validation bypass vulnerability

Back in min June a security vulnerability was reported to the team, the reason for the slow response was due to ownership of some packages was locked and we wanted to be sure to update all packages before any disclosure was released. The issue is deemed being a Low severity vulnerability. Impact This vulnerability impacts users who rely on the for last digits of personnummer to be a real personnummer. …

Use of a Broken or Risky Cryptographic Algorithm

A vulnerability in the in-band key negotiation exists in the AWS S3 Crypto SDK for GoLang versions prior to V2. An attacker with write access to the targeted bucket can change the encryption algorithm of an object in the bucket, which can then allow them to change AES-GCM to AES-CTR. Using this in combination with a decryption oracle can reveal the authentication key used by AES-GCM as decrypting the GMAC …

Use of a Broken or Risky Cryptographic Algorithm

A padding oracle vulnerability exists in the AWS S3 Crypto SDK for GoLang versions prior to V2. The SDK allows users to encrypt files with AES-CBC without computing a Message Authentication Code (MAC), which then allows an attacker who has write access to the target's S3 bucket and can observe whether or not an endpoint with access to the key can decrypt a file, they can reconstruct the plaintext with …

Use of a Broken or Risky Cryptographic Algorithm

A padding oracle vulnerability exists in the AWS S3 Crypto SDK for GoLang versions prior to V2. The SDK allows users to encrypt files with AES-CBC without computing a Message Authentication Code (MAC), which then allows an attacker who has write access to the target's S3 bucket and can observe whether or not an endpoint with access to the key can decrypt a file, they can reconstruct the plaintext with …

Use of a Broken or Risky Cryptographic Algorithm

A vulnerability in the in-band key negotiation exists in the AWS S3 Crypto SDK for GoLang versions prior to V2. An attacker with write access to the targeted bucket can change the encryption algorithm of an object in the bucket, which can then allow them to change AES-GCM to AES-CTR. Using this in combination with a decryption oracle can reveal the authentication key used by AES-GCM as decrypting the GMAC …

URL Redirection to Untrusted Site ('Open Redirect')

In Traefik , there exists a potential open redirect vulnerability in Traefik's handling of the "X-Forwarded-Prefix" header. The Traefik API dashboard component does not validate that the value of the header "X-Forwarded-Prefix" is a site relative path and will redirect to any header provided URI. Successful exploitation of an open redirect can be used to entice victims to disclose sensitive information. Active Exploitation of this issue is unlikely as it …

URL Redirection to Untrusted Site ('Open Redirect')

In Traefik before versions 1.7.26, 2.2.8, and 2.3.0-rc3, there exists a potential open redirect vulnerability in Traefik's handling of the "X-Forwarded-Prefix" header. The Traefik API dashboard component does not validate that the value of the header "X-Forwarded-Prefix" is a site relative path and will redirect to any header provided URI. Successful exploitation of an open redirect can be used to entice victims to disclose sensitive information. Active Exploitation of this …

URL Redirection to Untrusted Site ('Open Redirect')

In Traefik before versions 1.7.26, 2.2.8, and 2.3.0-rc3, there exists a potential open redirect vulnerability in Traefik's handling of the "X-Forwarded-Prefix" header. The Traefik API dashboard component doesn't validate that the value of the header "X-Forwarded-Prefix" is a site relative path and will redirect to any header provided URI. Successful exploitation of an open redirect can be used to entice victims to disclose sensitive information. Active Exploitation of this issue …

URL Redirection to Untrusted Site ('Open Redirect')

In Traefik before versions 1.7.26, 2.2.8, and 2.3.0-rc3, there exists a potential open redirect vulnerability in Traefik's handling of the "X-Forwarded-Prefix" header. The Traefik API dashboard component does not validate that the value of the header "X-Forwarded-Prefix" is a site relative path and will redirect to any header provided URI. Successful exploitation of an open redirect can be used to entice victims to disclose sensitive information. Active Exploitation of this …

URL Redirection to Untrusted Site ('Open Redirect')

In Traefik before versions 1.7.26, 2.2.8, and 2.3.0-rc3, there exists a potential open redirect vulnerability in Traefik's handling of the "X-Forwarded-Prefix" header. The Traefik API dashboard component doesn't validate that the value of the header "X-Forwarded-Prefix" is a site relative path and will redirect to any header provided URI. Successful exploitation of an open redirect can be used to entice victims to disclose sensitive information. Active Exploitation of this issue …

URL Redirection to Untrusted Site ('Open Redirect')

In Traefik before versions 1.7.26, 2.2.8, and 2.3.0-rc3, there exists a potential open redirect vulnerability in Traefik's handling of the "X-Forwarded-Prefix" header. The Traefik API dashboard component does not validate that the value of the header "X-Forwarded-Prefix" is a site relative path and will redirect to any header provided URI. Successful exploitation of an open redirect can be used to entice victims to disclose sensitive information. Active Exploitation of this …

URL Redirection to Untrusted Site ('Open Redirect')

In Traefik before versions 1.7.26, 2.2.8, and 2.3.0-rc3, there exists a potential open redirect vulnerability in Traefik's handling of the "X-Forwarded-Prefix" header. The Traefik API dashboard component does not validate that the value of the header "X-Forwarded-Prefix" is a site relative path and will redirect to any header provided URI. Successful exploitation of an open redirect can be used to entice victims to disclose sensitive information. Active Exploitation of this …

URL Redirection to Untrusted Site ('Open Redirect')

In Traefik before versions 1.7.26, 2.2.8, and 2.3.0-rc3, there exists a potential open redirect vulnerability in Traefik's handling of the "X-Forwarded-Prefix" header. The Traefik API dashboard component does not validate that the value of the header "X-Forwarded-Prefix" is a site relative path and will redirect to any header provided URI. Successful exploitation of an open redirect can be used to entice victims to disclose sensitive information. Active Exploitation of this …

URL Redirection to Untrusted Site ('Open Redirect')

In Traefik , there exists a potential open redirect vulnerability in Traefik's handling of the "X-Forwarded-Prefix" header. The Traefik API dashboard component does not validate that the value of the header "X-Forwarded-Prefix" is a site relative path and will redirect to any header provided URI. Successful exploitation of an open redirect can be used to entice victims to disclose sensitive information. Active Exploitation of this issue is unlikely as it …

NULL Pointer Dereference

Null source pointer passed as an argument to memcpy() function within TIFFReadDirectory() in tif_dirread.c in libtiff versions from to could lead to Denial of Service via a crafted TIFF file.

NULL Pointer Dereference

Null source pointer passed as an argument to memcpy() function within TIFFFetchStripThing() in tif_dirread.c in libtiff could lead to Denial of Service via crafted TIFF file.

Information Exposure when using Puma with Rails

Puma is a Ruby/Rack web server built for parallelism. Prior to puma version 5.6.2, puma may not always call close on the response body. Rails, prior to version 7.0.2.2, depended on the response body being closed in order for its CurrentAttributes implementation to work correctly. The combination of these two behaviors (Puma not closing the body + Rails' Executor implementation) causes information leakage. This problem is fixed in Puma versions …

Information Exposure when using Puma with Rails

Puma is a Ruby/Rack web server built for parallelism. Prior to puma version 5.6.2, puma may not always call close on the response body. Rails, prior to version 7.0.2.2, depended on the response body being closed in order for its CurrentAttributes implementation to work correctly. The combination of these two behaviors (Puma not closing the body + Rails' Executor implementation) causes information leakage. This problem is fixed in Puma versions …

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

Hessian serialization is a network protocol that supports object-based transmission. Apache Cayenne's optional Remote Object Persistence (ROP) feature is a web services-based technology that provides object persistence and query functionality to 'remote' applications. In Apache Cayenne, running on non-current patch versions of Java, an attacker with client access to Cayenne ROP can transmit a malicious payload to any vulnerable third-party dependency on the server. This can result in arbitrary code …

Improper Initialization

An improperly initialized 'migrationAuth' value in Google's go-tpm TPM1.2 library can lead an eavesdropping attacker to discover the auth value for a key created with CreateWrapKey. An attacker listening in on the channel can collect both 'encUsageAuth' and 'encMigrationAuth', and then can calculate 'usageAuth ^ encMigrationAuth' as the 'migrationAuth' can be guessed for all keys created with CreateWrapKey. TPM2.0 is not impacted by this. We recommend updating your library to …

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

When running Apache Cassandra with the following configuration: enable_user_defined_functions: true enable_scripted_user_defined_functions: true enable_user_defined_functions_threads: false it is possible for an attacker to execute arbitrary code on the host. The attacker would need to have enough permissions to create user defined functions in the cluster to be able to exploit this. Note that this configuration is documented as unsafe, and will continue to be considered unsafe after this CVE.

Exposure of Sensitive Information to an Unauthorized Actor

Action Pack is a framework for handling and responding to web requests. Under certain circumstances response bodies will not be closed. In the event a response is not notified of a close, ActionDispatch::Executor will not know to reset thread local state for the next request. This can lead to data being leaked to subsequent requests.This has been fixed in Rails 7.0.2.1, 6.1.4.5, 6.0.4.5, and 5.2.6.1. Upgrading is highly recommended, but …

Exposure of information in Action Pack

Action Pack is a framework for handling and responding to web requests. Under certain circumstances response bodies will not be closed. In the event a response is not notified of a close, ActionDispatch::Executor will not know to reset thread local state for the next request. This can lead to data being leaked to subsequent requests. This has been fixed in Rails 7.0.2.1, 6.1.4.5, 6.0.4.5, and 5.2.6.1. Upgrading is highly recommended, …

Duplicate advisory: swift-nio-http2 vulnerable to denial of service via mishandled HPACK variable length integer encoding

Duplicate Advisory This advisory has been withdrawn because it is a duplicate of GHSA-w3f6-pc54-gfw7. This link is maintained to preserve external references. Original Description A program using swift-nio-http2 is vulnerable to a denial of service attack, caused by a network peer sending a specially crafted HPACK-encoded header block. This attack affects all swift-nio-http2 versions from 1.0.0 to 1.19.1. There are a number of implementation errors in the parsing of HPACK-encoded …

Duplicate advisory: swift-nio-http2 vulnerable to denial of service via invalid HTTP/2 HEADERS frame length

Duplicate Advisory This advisory has been withdrawn because it is a duplicate of GHSA-pgfx-g6rc-8cjv. This link is maintained to preserve external references. Original Description A program using swift-nio-http2 is vulnerable to a denial of service attack, caused by a network peer sending a specially crafted HTTP/2 frame. This attack affects all swift-nio-http2 versions from 1.0.0 to 1.19.1. This vulnerability is caused by a logical error when parsing a HTTP/2 HEADERS …

Duplicate advisory: swift-nio-http2 vulnerable to denial of service via ALTSVC or ORIGIN frames

Duplicate Advisory This advisory has been withdrawn because it is a duplicate of GHSA-pgfx-g6rc-8cjv. This link is maintained to preserve external references. Original Description A program using swift-nio-http2 is vulnerable to a denial of service attack caused by a network peer sending ALTSVC or ORIGIN frames. This attack affects all swift-nio-http2 versions from 1.0.0 to 1.19.1. This vulnerability is caused by a logical error after frame parsing but before frame …

Deserialization of Untrusted Data

Hessian serialization is a network protocol that supports object-based transmission. Apache Cayenne's optional Remote Object Persistence (ROP) feature is a web services-based technology that provides object persistence and query functionality to 'remote' applications. In Apache Cayenne 4.1, running on non-current patch versions of Java, an attacker with client access to Cayenne ROP can transmit a malicious payload to any vulnerable third-party dependency on the server. This can result in arbitrary …

Authentication Bypass by Spoofing

Fleet is an open source osquery manager. In Fleet, due to issues in Go's standard library XML parsing, a valid SAML response may be mutated by an attacker to modify the trusted document. This can result in allowing unverified logins from a SAML IdP. Users that configure Fleet with SSO login may be vulnerable to this issue. This issue is patched The fix was made using https://github.com/mattermost/xml-roundtrip-validator If upgrade to …

Uncontrolled Resource Consumption

Handlebars before 4.4.5 allows Regular Expression Denial of Service (ReDoS) because of eager matching. The parser may be forced into an endless loop while processing crafted templates. This may allow attackers to exhaust system resources.

Server-Side Request Forgery (SSRF)

In Karaf, JMX authentication takes place using JAAS and authorization takes place using ACL files. By default, only an "admin" can actually invoke on an MBean. However there is a vulnerability there for someone who is not an admin, but has a "viewer" role. In the 'etc/jmx.acl.cfg', such as role can call get*. It's possible to authenticate as a viewer role + invokes on the MLet getMBeansFromURL method, which goes …

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. The Grappler optimizer in TensorFlow can be used to cause a denial of service by altering a SavedModel such that SafeToRemoveIdentity would trigger CHECK failures. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a SavedModel such that TensorByteSize would trigger CHECK failures. TensorShape constructor throws a CHECK-fail if shape is partial or has a number of elements that would overflow the size of an int. The PartialTensorShape constructor instead does not cause a CHECK-abort if the shape is partial, which is exactly what this …

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a SavedModel such that any binary op would trigger CHECK failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the dtype no longer matches the dtype expected by the op. In that case, calling the templated binary operator for the binary op would receive …

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. The Grappler optimizer in TensorFlow can be used to cause a denial of service by altering a SavedModel such that SafeToRemoveIdentity would trigger CHECK failures. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a SavedModel such that any binary op would trigger CHECK failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the dtype no longer matches the dtype expected by the op. In that case, calling the templated binary operator for the binary op would receive …

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a SavedModel such that TensorByteSize would trigger CHECK failures. TensorShape constructor throws a CHECK-fail if shape is partial or has a number of elements that would overflow the size of an int. The PartialTensorShape constructor instead does not cause a CHECK-abort if the shape is partial, which is exactly what this …

Possible SQL injection in tablelookupwizard Contao Extension

Impact The currently selected widget values were not correctly sanitized before passing it to the database, leading to an SQL injection possibility. Patches The issue has been patched in tablelookupwizard For more information If you have any questions or comments about this advisory: Open an issue in https://github.com/terminal42/contao-tablelookupwizard Email us at info@terminal42.ch

Out-of-bounds Write

An issue was discovered in PlayJava in Play Framework The body parsing of HTTP requests eagerly parses a payload given a Content-Type header. A deep JSON structure sent to a valid POST endpoint (that may or may not expect JSON payloads) causes a StackOverflowError and Denial of Service.

Out-of-bounds Write

An issue was discovered in PlayJava in Play Framework 2.6.0 through 2.8.2. The body parsing of HTTP requests eagerly parses a payload given a Content-Type header. A deep JSON structure sent to a valid POST endpoint (that may or may not expect JSON payloads) causes a StackOverflowError and Denial of Service.

NULL Pointer Dereference

Tensorflow is an Open Source Machine Learning Framework. The implementation of GetInitOp is vulnerable to a crash caused by dereferencing a null pointer. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

NULL Pointer Dereference

Tensorflow is an Open Source Machine Learning Framework. The implementation of GetInitOp is vulnerable to a crash caused by dereferencing a null pointer. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Missing Release of Memory after Effective Lifetime

Tensorflow is an Open Source Machine Learning Framework. If a graph node is invalid, TensorFlow can leak memory in the implementation of ImmutableExecutorState::Initialize. Here, we set item->kernel to nullptr but it is a simple OpKernel* pointer so the memory that was previously allocated to it would leak. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as …

Missing Release of Memory after Effective Lifetime

Tensorflow is an Open Source Machine Learning Framework. If a graph node is invalid, TensorFlow can leak memory in the implementation of ImmutableExecutorState::Initialize. Here, we set item->kernel to nullptr but it is a simple OpKernel* pointer so the memory that was previously allocated to it would leak. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as …

Missing Authentication for Critical Function

In Apache Spark, a standalone resource manager's master may be configured to require authentication (spark.authenticate) via a shared secret. When enabled, however, a specially-crafted RPC to the master can succeed in starting an application's resources on the Spark cluster, even without the shared key. This can be leveraged to execute shell commands on the host machine. This does not affect Spark clusters using other resource managers (YARN, Mesos, etc).

Missing Authentication for Critical Function

If Apache TomEE is configured to use the embedded ActiveMQ broker, and the broker URI includes the useJMX=true parameter, a JMX port is opened on TCP port 1099, which does not include authentication. This affects Apache TomEE 8.0.0-M1 - 8.0.1, Apache TomEE 7.1.0 - 7.1.2, Apache TomEE 7.0.0-M1 - 7.0.7, Apache TomEE 1.0.0 - 1.7.5.

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. The implementation of OpLevelCostEstimator::CalculateTensorSize is vulnerable to an integer overflow if an attacker can create an operation which would involve a tensor with large enough number of elements. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. The implementation of UnravelIndex is vulnerable to a division by zero caused by an integer overflow bug. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. The implementation of StringNGrams can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. We are missing a validation on pad_witdh and that result in computing a negative value for ngram_width which is later used to allocate parts of the output. The fix will be included in TensorFlow 2.8.0. We will …

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. The implementation of UnravelIndex is vulnerable to a division by zero caused by an integer overflow bug. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. The implementation of OpLevelCostEstimator::CalculateOutputSize is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number of dimensions in output_shape.dim or just a small number of dimensions being large enough to cause an overflow in the multiplication. The fix will be included in TensorFlow …

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. The implementation of StringNGrams can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. We are missing a validation on pad_witdh and that result in computing a negative value for ngram_width which is later used to allocate parts of the output. The fix will be included in TensorFlow 2.8.0. We will …

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. The implementation of OpLevelCostEstimator::CalculateOutputSize is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number of dimensions in output_shape.dim or just a small number of dimensions being large enough to cause an overflow in the multiplication. The fix will be included in TensorFlow …

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. The implementation of OpLevelCostEstimator::CalculateTensorSize is vulnerable to an integer overflow if an attacker can create an operation which would involve a tensor with large enough number of elements. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Incorrect Authorization

Apache Solr versions 6.6.0 to 6.6.6, 7.0.0 to 7.7.3 and 8.0.0 to 8.6.2 prevents some features considered dangerous (which could be used for remote code execution) to be configured in a ConfigSet that's uploaded via API without authentication/authorization. The checks in place to prevent such features can be circumvented by using a combination of UPLOAD/CREATE actions.

Incomplete Cleanup

An issue exsits in Gitea through 1.15.7, which could let a malicious user gain privileges due to client side cookies not being deleted and the session remains valid on the server side for reuse.

Improper Validation of Specified Quantity in Input in Eclipse Hono

In Eclipse Hono the AMQP protocol adapter does not verify the size of AMQP messages received from devices. In particular, a device may send messages that are bigger than the max-message-size that the protocol adapter has indicated during link establishment. While the AMQP protocol explicitly disallows a peer to send such messages, a hand crafted AMQP client could exploit this behavior in order to send a message of unlimited size …

Improper Neutralization of Special Elements used in an Expression Language Statement ('Expression Language Injection')

Netflix Titus uses Java Bean Validation (JSR ) custom constraint validators. When building custom constraint violation error messages, different types of interpolation are supported, including Java EL expressions. If an attacker can inject arbitrary data in the error message template being passed to ConstraintValidatorContext.buildConstraintViolationWithTemplate() argument, they will be able to run arbitrary Java code.

Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')

XWiki is a generic wiki platform offering runtime services for applications built on top of it. When using default XWiki configuration, it's possible for an attacker to upload an SVG containing a script executed when executing the download action on the file. This problem has been patched so that the default configuration does not allow to display the SVG files in the browser. Users are advised to update or to …

Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')

The HTMLSanitizer class in html-sanitizer.ts in all released versions of the Aurelia framework repository is vulnerable to XSS. The sanitizer only attempts to filter SCRIPT elements, which makes it feasible for remote attackers to conduct XSS attacks via (for example) JavaScript code in an attribute of various other elements. An attacker might also exploit a bug in how the SCRIPT string is processed by splitting and nesting them for example.

Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')

XWiki is a generic wiki platform offering runtime services for applications built on top of it. When using default XWiki configuration, it's possible for an attacker to upload an SVG containing a script executed when executing the download action on the file. This problem has been patched so that the default configuration doesn't allow to display the SVG files in the browser. Users are advised to update or to disallow …

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

A directory traversal issue in the Utils/Unzip module in Microweber through 1.1.20 allows an authenticated attacker to gain remote code execution via the backup restore feature. To exploit the vulnerability, an attacker must have the credentials of an administrative user, upload a maliciously constructed ZIP file with file paths including relative paths (i.e., ../../), move this file into the backup directory, and execute a restore on this file.

Improper Input Validation

Reported in SOLR-14515 (private) and fixed in SOLR-14561 (public), released in Solr version 8.6.0. The Replication handler allows commands backup, restore and deleteBackup. Each of these take a location parameter, which was not validated, i.e you could read/write to any location the solr user can access.

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

Handlebars before 3.0.8 and 4.x before 4.5.3 is vulnerable to Arbitrary Code Execution. The lookup helper fails to properly validate templates, allowing attackers to submit templates that execute arbitrary JavaScript. This can be used to run arbitrary code on a server processing Handlebars templates or in a victim's browser (effectively serving as XSS).

Improper Certificate Validation

Graylog lacks SSL Certificate Validation for LDAP servers. It allows use of an external user/group database stored in LDAP. The connection configuration allows the usage of unencrypted, SSL- or TLS-secured connections. Unfortunately, the Graylog client code (in all versions that support LDAP) does not implement proper certificate validation (regardless of whether the "Allow self-signed certificates" option is used). Therefore, any attacker with the ability to intercept network traffic between a …

Improper Authentication

An Authentication Bypass vulnerability exists in Gitea before 1.5.0, which could let a malicious user gain privileges. If captured, the TOTP code for the 2FA can be submitted correctly more than once.

Exposure of Sensitive Information to an Unauthorized Actor in Apache CXF

Apache CXF has the ability to integrate with JMX by registering an InstrumentationManager extension with the CXF bus. If the ‘createMBServerConnectorFactory‘ property of the default InstrumentationManagerImpl is not disabled, then it is vulnerable to a man-in-the-middle (MITM) style attack. An attacker on the same host can connect to the registry and rebind the entry to another server, thus acting as a proxy to the original. They are then able to …

Exposure of Sensitive Information to an Unauthorized Actor

Express-handlebars is a Handlebars view engine for Express. Express-handlebars mixes pure template data with engine configuration options through the Express render API. More specifically, the layout parameter may trigger file disclosure vulnerabilities in downstream applications. This potential vulnerability is somewhat restricted in that only files with existing extentions (i.e. file.extension) can be included, files that lack an extension will have .handlebars appended to them. For complete details refer to the …

Divide By Zero

Tensorflow is an Open Source Machine Learning Framework. The estimator for the cost of some convolution operations can be made to execute a division by 0. The function fails to check that the stride argument is strictly positive. Hence, the fix is to add a check for the stride argument to ensure it is valid. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on …

Divide By Zero

Tensorflow is an Open Source Machine Learning Framework. The implementation of FractionalMaxPool can be made to crash a TensorFlow process via a division by 0. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Divide By Zero

Tensorflow is an Open Source Machine Learning Framework. The implementation of FractionalMaxPool can be made to crash a TensorFlow process via a division by 0. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Divide By Zero

Tensorflow is an Open Source Machine Learning Framework. The estimator for the cost of some convolution operations can be made to execute a division by 0. The function fails to check that the stride argument is strictly positive. Hence, the fix is to add a check for the stride argument to ensure it is valid. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on …

Deserialization of Untrusted Data

A deserialization flaw is present in Taoensso Nippy In some circumstances, it is possible for an attacker to create a malicious payload that, when deserialized, will allow arbitrary code to be executed. This occurs because there is automatic use of the Java Serializable interface.

Deserialization of Untrusted Data

This vulnerability can affect all Dubbo users stay on or lower. An attacker can send RPC requests with unrecognized service name or method name along with some malicious parameter payloads. When the malicious parameter is deserialized, it will execute some malicious code. More details can be found below.

Code Injection

A Remote Code Execution (RCE) vulnerability exists in ThinkPHP 3.x.x via value[_filename] in index.php, which could let a malicious user obtain server control privileges.

Allocation of Resources Without Limits or Throttling

Tensorflow is an Open Source Machine Learning Framework. The implementation of ThreadPoolHandle can be used to trigger a denial of service attack by allocating too much memory. This is because the num_threads argument is only checked to not be negative, but there is no upper bound on its value. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow …

Allocation of Resources Without Limits or Throttling

Tensorflow is an Open Source Machine Learning Framework. The implementation of ThreadPoolHandle can be used to trigger a denial of service attack by allocating too much memory. This is because the num_threads argument is only checked to not be negative, but there is no upper bound on its value. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow …

Access of Resource Using Incompatible Type

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ConcatV2 can be used to trigger a denial of service attack via a segfault caused by a type confusion. The axis argument is translated into concat_dim in the ConcatShapeHelper helper function. Then, a value for min_rank is computed based on concat_dim. This is then used to validate that the values tensor has at least the required …

Access of Resource Using Incompatible Type

Tensorflow is an Open Source Machine Learning Framework. The implementation of MapStage is vulnerable a CHECK-fail if the key tensor is not a scalar. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Access of Resource Using Incompatible Type

Tensorflow is an Open Source Machine Learning Framework. The implementation of MapStage is vulnerable a CHECK-fail if the key tensor is not a scalar. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Access of Resource Using Incompatible Type

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ConcatV2 can be used to trigger a denial of service attack via a segfault caused by a type confusion. The axis argument is translated into concat_dim in the ConcatShapeHelper helper function. Then, a value for min_rank is computed based on concat_dim. This is then used to validate that the values tensor has at least the required …

User object created with invalid provider data in GoTrue

Impact What kind of vulnerability is it? Who is impacted? Under certain circumstances a valid user object would have been created with invalid provider metadata. This vulnerability affects everyone running an instance of GoTrue as a service. We advise you to update especially if you are using the provider metadata from the user object to secure other resources. Patches Has the problem been patched? What versions should users upgrade to? …

Use of Uninitialized Resource

Tensorflow is an Open Source Machine Learning Framework. The implementation of AssignOp can result in copying uninitialized data to a new tensor. This later results in undefined behavior. The implementation has a check that the left hand side of the assignment is initialized , but does not check that the right hand side is also initialized. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit …

Use of Uninitialized Resource

Tensorflow is an Open Source Machine Learning Framework. The implementation of AssignOp can result in copying uninitialized data to a new tensor. This later results in undefined behavior. The implementation has a check that the left hand side of the assignment is initialized , but does not check that the right hand side is also initialized. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit …

Use After Free

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a use after free behavior when decoding PNG images. After png::CommonFreeDecode gets called, the values of decode.width and decode.height are in an unspecified state. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Use After Free

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a use after free behavior when decoding PNG images. After png::CommonFreeDecode gets called, the values of decode.width and decode.height are in an unspecified state. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

URL Redirection to Untrusted Site ('Open Redirect')

XWiki Platform is a generic wiki platform offering runtime services for applications built on top of it. In affected versions there is no protection against URL redirection to untrusted sites, in particular some well known parameters (xredirect) can be used to perform url redirections. This problem has been patched in XWiki 12.10.7 and XWiki 13.3RC1. Users are advised to update. There are no known workarounds for this issue.

Uncontrolled Resource Consumption

Tensorflow is an Open Source Machine Learning Framework. The GraphDef format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a GraphDef containing a fragment such as the following can be consumed when loading a SavedModel. This would result in a stack overflow during execution as resolving each NodeDef means resolving the function itself and its nodes. The fix will be included …

Uncontrolled Resource Consumption

Tensorflow is an Open Source Machine Learning Framework. The GraphDef format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a GraphDef containing a fragment such as the following can be consumed when loading a SavedModel. This would result in a stack overflow during execution as resolving each NodeDef means resolving the function itself and its nodes. The fix will be included …

Time-of-check Time-of-use Race Condition

Tensorflow is an Open Source Machine Learning Framework. In multiple places, TensorFlow uses tempfile.mktemp to create temporary files. While this is acceptable in testing, in utilities and libraries it is dangerous as a different process can create the file between the check for the filename in mktemp and the actual creation of the file by a subsequent operation . In several instances, TensorFlow was supposed to actually create a temporary …

Time-of-check Time-of-use Race Condition

Tensorflow is an Open Source Machine Learning Framework. In multiple places, TensorFlow uses tempfile.mktemp to create temporary files. While this is acceptable in testing, in utilities and libraries it is dangerous as a different process can create the file between the check for the filename in mktemp and the actual creation of the file by a subsequent operation . In several instances, TensorFlow was supposed to actually create a temporary …

Server-Side Request Forgery (SSRF)

In ArangoDB, versions v3.7.0 through v3.9.0-alpha.1 have a feature which allows downloading a Foxx service from a publicly available URL. This feature does not enforce proper filtering of requests performed internally, which can be abused by a highly-privileged attacker to perform blind SSRF and send internal requests to localhost.

Remote code execution in Apache TomEE

If Apache TomEE - - - - is configured to use the embedded ActiveMQ broker, and the broker config is misconfigured, a JMX port is opened on TCP port, which does not include authentication. CVE-2020-11969 previously addressed the creation of the JMX management interface, however the incomplete fix does not cover this edge case.

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a SavedModel such that Grappler optimizer would attempt to build a tensor using a reference dtype. This would result in a crash due to a CHECK-fail in the Tensor constructor as reference types are not allowed. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on …

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. Multiple operations in TensorFlow can be used to trigger a denial of service via CHECK-fails (i.e., assertion failures). This is similar to TFSA-2021-198 and has similar fixes. We have patched the reported issues in multiple GitHub commits. It is possible that other similar instances exist in TensorFlow, we will issue fixes as these are discovered. The fix will be included in TensorFlow …

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a SavedModel such that assertions in function.cc would be falsified and crash the Python interpreter. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. When decoding a tensor from protobuf, a TensorFlow process can encounter cases where a CHECK assertion is invalidated based on user controlled arguments, if the tensors have an invalid dtype and 0 elements or an invalid shape. This allows attackers to cause denial of services in TensorFlow processes. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit …

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. Multiple operations in TensorFlow can be used to trigger a denial of service via CHECK-fails (i.e., assertion failures). This is similar to TFSA-2021-198 and has similar fixes. We have patched the reported issues in multiple GitHub commits. It is possible that other similar instances exist in TensorFlow, we will issue fixes as these are discovered. The fix will be included in TensorFlow …

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. When decoding a tensor from protobuf, TensorFlow might do a null-dereference if attributes of some mutable arguments to some operations are missing from the proto. This is guarded by a DCHECK. However, DCHECK is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the dereferencing of the null pointer, whereas in the …

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. An attacker can trigger denial of service via assertion failure by altering a SavedModel on disk such that AttrDefs of some operation are duplicated. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. When decoding a tensor from protobuf, a TensorFlow process can encounter cases where a CHECK assertion is invalidated based on user controlled arguments, if the tensors have an invalid dtype and 0 elements or an invalid shape. This allows attackers to cause denial of services in TensorFlow processes. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit …

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. When decoding a resource handle tensor from protobuf, a TensorFlow process can encounter cases where a CHECK assertion is invalidated based on user controlled arguments. This allows attackers to cause denial of services in TensorFlow processes. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also …

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. When decoding a tensor from protobuf, TensorFlow might do a null-dereference if attributes of some mutable arguments to some operations are missing from the proto. This is guarded by a DCHECK. However, DCHECK is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the dereferencing of the null pointer, whereas in the …

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a SavedModel such that assertions in function.cc would be falsified and crash the Python interpreter. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. When decoding a resource handle tensor from protobuf, a TensorFlow process can encounter cases where a CHECK assertion is invalidated based on user controlled arguments. This allows attackers to cause denial of services in TensorFlow processes. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also …

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a SavedModel such that Grappler optimizer would attempt to build a tensor using a reference dtype. This would result in a crash due to a CHECK-fail in the Tensor constructor as reference types are not allowed. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on …

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. An attacker can trigger denial of service via assertion failure by altering a SavedModel on disk such that AttrDefs of some operation are duplicated. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Partial authorization bypass on document save in xwiki-platform

XWiki Platform is a generic wiki platform offering runtime services for applications built on top of it. In affected versions any user with SCRIPT right can save a document with the right of the current user which allow accessing API requiring programming right if the current user has programming right. This has been patched in XWiki 13.0. Users are advised to update to resolve this issue. The only known workaround …

Out-of-bounds Write

Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow makes several assumptions about the incoming GraphDef before converting it to the MLIR-based dialect. If an attacker changes the SavedModel format on disk to invalidate these assumptions and the GraphDef is then converted to MLIR-based IR then they can cause a crash in the Python interpreter. Under certain scenarios, heap OOB read/writes are possible. These issues have …

Out-of-bounds Write

Tensorflow is an Open Source Machine Learning Framework. TensorFlow is vulnerable to a heap OOB write in Grappler. The set_output function writes to an array at the specified index. Hence, this gives a malicious user a write primitive. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Out-of-bounds Write

Tensorflow is an Open Source Machine Learning Framework. The implementation of SparseCountSparseOutput is vulnerable to a heap overflow. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Out-of-bounds Write

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would allow limited reads and writes outside of arrays in TFLite. This exploits missing validation in the conversion from sparse tensors to dense tensors. The fix is included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported …

Out-of-bounds Write

Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow's SpecializeType which results in heap OOB read/write. Due to a typo, arg is initialized to the ith mutable argument in a loop where the loop index is j. Hence it is possible to assign to arg from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to …

Out-of-bounds Write

Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow's SpecializeType which results in heap OOB read/write. Due to a typo, arg is initialized to the ith mutable argument in a loop where the loop index is j. Hence it is possible to assign to arg from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to …

Out-of-bounds Write

Tensorflow is an Open Source Machine Learning Framework. The implementation of SparseCountSparseOutput is vulnerable to a heap overflow. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Out-of-bounds Write

Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow makes several assumptions about the incoming GraphDef before converting it to the MLIR-based dialect. If an attacker changes the SavedModel format on disk to invalidate these assumptions and the GraphDef is then converted to MLIR-based IR then they can cause a crash in the Python interpreter. Under certain scenarios, heap OOB read/writes are possible. These issues have …

Out-of-bounds Write

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause a write outside of bounds of an array in TFLite. In fact, the attacker can override the linked list used by the memory allocator. This can be leveraged for an arbitrary write primitive under certain conditions. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow …

Out-of-bounds Write

Tensorflow is an Open Source Machine Learning Framework. TensorFlow is vulnerable to a heap OOB write in Grappler. The set_output function writes to an array at the specified index. Hence, this gives a malicious user a write primitive. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Out-of-bounds Write

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause a write outside of bounds of an array in TFLite. In fact, the attacker can override the linked list used by the memory allocator. This can be leveraged for an arbitrary write primitive under certain conditions. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow …

Out-of-bounds Write

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would allow limited reads and writes outside of arrays in TFLite. This exploits missing validation in the conversion from sparse tensors to dense tensors. The fix is included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported …

Out-of-bounds Read

Tensorflow is an Open Source Machine Learning Framework. The implementation of FractionalAvgPoolGrad does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Out-of-bounds Read

Tensorflow is an Open Source Machine Learning Framework. TensorFlow's type inference can cause a heap out of bounds read as the bounds checking is done in a DCHECK . An attacker can control the input_idx variable such that ix would be larger than the number of values in node_t.args. The fix will be included in TensorFlow 2.8.0. This is the only affected version.

Out-of-bounds Read

Tensorflow is an Open Source Machine Learning Framework. The implementation of Dequantize does not fully validate the value of axis and can result in heap OOB accesses. The axis argument can be -1 (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked and this results in reading past the end of …

Out-of-bounds Read

Tensorflow is an Open Source Machine Learning Framework. TensorFlow's type inference can cause a heap out of bounds read as the bounds checking is done in a DCHECK . An attacker can control the input_idx variable such that ix would be larger than the number of values in node_t.args. The fix will be included in TensorFlow 2.8.0. This is the only affected version.

Out-of-bounds Read

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ReverseSequence does not fully validate the value of batch_dim and can result in a heap OOB read. There is a check to make sure the value of batch_dim does not go over the rank of the input, but there is no check for negative values. Negative dimensions are allowed in some cases to mimic Python's negative …

Out-of-bounds Read

Tensorflow is an Open Source Machine Learning Framework. The implementation of Dequantize does not fully validate the value of axis and can result in heap OOB accesses. The axis argument can be -1 (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked and this results in reading past the end of …

Out-of-bounds Read

Tensorflow is an Open Source Machine Learning Framework. The implementation of FractionalAvgPoolGrad does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Out-of-bounds Read

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ReverseSequence does not fully validate the value of batch_dim and can result in a heap OOB read. There is a check to make sure the value of batch_dim does not go over the rank of the input, but there is no check for negative values. Negative dimensions are allowed in some cases to mimic Python's negative …

NULL Pointer Dereference and Access of Uninitialized Pointer in TensorFlow

Impact The code for boosted trees in TensorFlow is still missing validation. This allows malicious users to read and write outside of bounds of heap allocated data as well as trigger denial of service (via dereferencing nullptrs or via CHECK-failures). This follows after CVE-2021-41208 where these APIs were still vulnerable to multiple security issues. Note: Given that the boosted trees implementation in TensorFlow is unmaintained, it is recommend to no …

NULL Pointer Dereference and Access of Uninitialized Pointer in TensorFlow

Impact The code for boosted trees in TensorFlow is still missing validation. This allows malicious users to read and write outside of bounds of heap allocated data as well as trigger denial of service (via dereferencing nullptrs or via CHECK-failures). This follows after CVE-2021-41208 where these APIs were still vulnerable to multiple security issues. Note: Given that the boosted trees implementation in TensorFlow is unmaintained, it is recommend to no …

NULL Pointer Dereference and Access of Uninitialized Pointer in TensorFlow

Impact The code for boosted trees in TensorFlow is still missing validation. This allows malicious users to read and write outside of bounds of heap allocated data as well as trigger denial of service (via dereferencing nullptrs or via CHECK-failures). This follows after CVE-2021-41208 where these APIs were still vulnerable to multiple security issues. Note: Given that the boosted trees implementation in TensorFlow is unmaintained, it is recommend to no …

NULL Pointer Dereference

Tensorflow is an Open Source Machine Learning Framework. The implementation of SparseTensorSliceDataset has an undefined behavior: under certain condition it can be made to dereference a nullptr value. The 3 input arguments to SparseTensorSliceDataset represent a sparse tensor. However, there are some preconditions that these arguments must satisfy but these are not validated in the implementation. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit …

NULL Pointer Dereference

Tensorflow is an Open Source Machine Learning Framework. The implementation of QuantizedMaxPool has an undefined behavior where user controlled inputs can trigger a reference binding to null pointer. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

NULL Pointer Dereference

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow can trigger a null pointer dereference. There are 2 places where this can occur, for the same malicious alteration of a SavedModel file (fixing the first one would trigger the same dereference in the second place). First, during constant folding, the GraphDef might not have the required nodes for the binary operation. If a node …

NULL Pointer Dereference

Tensorflow is an Open Source Machine Learning Framework. When building an XLA compilation cache, if default settings are used, TensorFlow triggers a null pointer dereference. In the default scenario, all devices are allowed, so flr->config_proto is nullptr. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

NULL Pointer Dereference

Tensorflow is an Open Source Machine Learning Framework. The implementation of SparseTensorSliceDataset has an undefined behavior: under certain condition it can be made to dereference a nullptr value. The 3 input arguments to SparseTensorSliceDataset represent a sparse tensor. However, there are some preconditions that these arguments must satisfy but these are not validated in the implementation. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit …

NULL Pointer Dereference

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow can trigger a null pointer dereference. There are 2 places where this can occur, for the same malicious alteration of a SavedModel file (fixing the first one would trigger the same dereference in the second place). First, during constant folding, the GraphDef might not have the required nodes for the binary operation. If a node …

NULL Pointer Dereference

Tensorflow is an Open Source Machine Learning Framework. When building an XLA compilation cache, if default settings are used, TensorFlow triggers a null pointer dereference. In the default scenario, all devices are allowed, so flr->config_proto is nullptr. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

NULL Pointer Dereference

Tensorflow is an Open Source Machine Learning Framework. The implementation of QuantizedMaxPool has an undefined behavior where user controlled inputs can trigger a reference binding to null pointer. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Missing Release of Memory after Effective Lifetime

Tensorflow is an Open Source Machine Learning Framework. When decoding PNG images TensorFlow can produce a memory leak if the image is invalid. After calling png::CommonInitDecode, the decode value contains allocated buffers which can only be freed by calling png::CommonFreeDecode. However, several error case in the function implementation invoke the OP_REQUIRES macro which immediately terminates the execution of the function, without allowing for the memory free to occur. The fix …

Missing Release of Memory after Effective Lifetime

Tensorflow is an Open Source Machine Learning Framework. When decoding PNG images TensorFlow can produce a memory leak if the image is invalid. After calling png::CommonInitDecode, the decode value contains allocated buffers which can only be freed by calling png::CommonFreeDecode. However, several error case in the function implementation invoke the OP_REQUIRES macro which immediately terminates the execution of the function, without allowing for the memory free to occur. The fix …

Missing Authorization

XWiki Platform is a generic wiki platform offering runtime services for applications built on top of it. In affected versions any user with edit right can copy the content of a page it does not have access to by using it as template of a new page. This issue has been patched in XWiki 13.2CR1 and 12.10.6. Users are advised to update. There are no known workarounds for this issue.

Missing Authorization

XWiki Platform is a generic wiki platform offering runtime services for applications built on top of it. In affected versions any user with SCRIPT right can read any file located in the XWiki WAR (for example xwiki.cfg and xwiki.properties) through XWiki#invokeServletAndReturnAsString as $xwiki.invokeServletAndReturnAsString("/WEB-INF/xwiki.cfg"). This issue has been patched in XWiki versions 12.10.9, 13.4.3 and 13.7-rc-1. Users are advised to update. The only workaround is to limit SCRIPT right.

Missing Authorization

A flaw was found in infinispan 10 REST API, where authorization permissions are not checked while performing some server management operations. When authz is enabled, any user with authentication can perform operations like shutting down the server without the ADMIN role.

Missing Authentication for Critical Function

Apache ActiveMQ uses LocateRegistry.createRegistry() to create the JMX RMI registry and binds the server to the "jmxrmi" entry. It is possible to connect to the registry without authentication and call the rebind method to rebind jmxrmi to something else. If an attacker creates another server to proxy the original, and bound that, he effectively becomes a man in the middle and is able to intercept the credentials when an user …

Integer Overflow or Wraparound in TensorFlow

Impact The Grappler component of TensorFlow is vulnerable to a denial of service via CHECK-failure in constant folding for ; // … } The output_prop tensor has a shape that is controlled by user input and this can result in triggering one of the CHECKs in the PartialTensorShape constructor. This is an instance of TFSA-2021-198 . ### Patches We have patched the issue in GitHub commit be7b286d40bc68cb0b56f702186cc4837d508058 fix will be …

Integer Overflow or Wraparound in TensorFlow

Impact The Grappler component of TensorFlow is vulnerable to a denial of service via CHECK-failure in constant folding for ; // … } The output_prop tensor has a shape that is controlled by user input and this can result in triggering one of the CHECKs in the PartialTensorShape constructor. This is an instance of TFSA-2021-198 . ### Patches We have patched the issue in GitHub commit be7b286d40bc68cb0b56f702186cc4837d508058 fix will be …

Integer Overflow or Wraparound in TensorFlow

Impact The Grappler component of TensorFlow is vulnerable to a denial of service via CHECK-failure in constant folding for ; // … } The output_prop tensor has a shape that is controlled by user input and this can result in triggering one of the CHECKs in the PartialTensorShape constructor. This is an instance of TFSA-2021-198 . ### Patches We have patched the issue in GitHub commit be7b286d40bc68cb0b56f702186cc4837d508058 fix will be …

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. The implementation of SparseCountSparseOutput can be made to crash a TensorFlow process by an integer overflow whose result is then used in a memory allocation. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. The implementation of AddManySparseToTensorsMap is vulnerable to an integer overflow which results in a CHECK-fail when building new TensorShape objects (so, an assert failure based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large TensorShape with user-provided dimensions. The fix will be included in TensorFlow 2.8.0. We will also …

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for Dequantize is vulnerable to an integer overflow weakness. The axis argument can be -1 or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes axis + 1, an attacker can trigger an integer overflow. The fix will be included in …

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. The implementation of Range suffers from integer overflows. These can trigger undefined behavior or, in some scenarios, extremely large allocations. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. The implementations of SparseCwise ops are vulnerable to integer overflows. These can be used to trigger large allocations or CHECK-fails when building new TensorShape objects . We are missing some validation on the shapes of the input tensors as well as directly constructing a large TensorShape with user-provided dimensions. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this …

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. The implementation of Range suffers from integer overflows. These can trigger undefined behavior or, in some scenarios, extremely large allocations. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and …

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. The implementation of AddManySparseToTensorsMap is vulnerable to an integer overflow which results in a CHECK-fail when building new TensorShape objects (so, an assert failure based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large TensorShape with user-provided dimensions. The fix will be included in TensorFlow 2.8.0. We will also …

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for Dequantize is vulnerable to an integer overflow weakness. The axis argument can be -1 or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes axis + 1, an attacker can trigger an integer overflow. The fix will be included in …

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. The implementation of SparseCountSparseOutput can be made to crash a TensorFlow process by an integer overflow whose result is then used in a memory allocation. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in embedding lookup operations. Both embedding_size and lookup_size are products of values provided by the user. Hence, a malicious user could trigger overflows in the multiplication. In certain scenarios, this can then result in heap OOB read/write. Users are advised to upgrade to a patched version.

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. The implementations of SparseCwise ops are vulnerable to integer overflows. These can be used to trigger large allocations or CHECK-fails when building new TensorShape objects . We are missing some validation on the shapes of the input tensors as well as directly constructing a large TensorShape with user-provided dimensions. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this …

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and …

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in embedding lookup operations. Both embedding_size and lookup_size are products of values provided by the user. Hence, a malicious user could trigger overflows in the multiplication. In certain scenarios, this can then result in heap OOB read/write. Users are advised to upgrade to a patched version.

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in TfLiteIntArrayCreate. The TfLiteIntArrayGetSizeInBytes returns an int instead of a size_t. An attacker can control model inputs such that computed_sizeoverflows the size ofint` datatype. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are …

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in TfLiteIntArrayCreate. The TfLiteIntArrayGetSizeInBytes returns an int instead of a size_t. An attacker can control model inputs such that computed_sizeoverflows the size ofint` datatype. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are …

Incorrect Permission Assignment for Critical Resource

Apache Accumulo versions 1.5.0 through 1.10.0 and version 2.0.0 do not properly check the return value of some policy enforcement functions before permitting an authenticated user to perform certain administrative operations. Specifically, the return values of the 'canFlush' and 'canPerformSystemActions' security functions are not checked in some instances, therefore allowing an authenticated user with insufficient permissions to perform the following actions: flushing a table, shutting down Accumulo or an individual …

Incorrect Default Permissions

A Incorrect Default Permissions vulnerability in the packaging of tomcat on SUSE Enterprise Storage 5, SUSE Linux Enterprise Server 12-SP2-BCL, SUSE Linux Enterprise Server 12-SP2-LTSS, SUSE Linux Enterprise Server 12-SP3-BCL, SUSE Linux Enterprise Server 12-SP3-LTSS, SUSE Linux Enterprise Server 12-SP4, SUSE Linux Enterprise Server 12-SP5, SUSE Linux Enterprise Server 15-LTSS, SUSE Linux Enterprise Server for SAP 12-SP2, SUSE Linux Enterprise Server for SAP 12-SP3, SUSE Linux Enterprise Server for SAP …

Incorrect Default Permissions

A Incorrect Default Permissions vulnerability in the packaging of tomcat on SUSE Enterprise Storage 5, SUSE Linux Enterprise Server 12-SP2-BCL, SUSE Linux Enterprise Server 12-SP2-LTSS, SUSE Linux Enterprise Server 12-SP3-BCL, SUSE Linux Enterprise Server 12-SP3-LTSS, SUSE Linux Enterprise Server 12-SP4, SUSE Linux Enterprise Server 12-SP5, SUSE Linux Enterprise Server 15-LTSS, SUSE Linux Enterprise Server for SAP 12-SP2, SUSE Linux Enterprise Server for SAP 12-SP3, SUSE Linux Enterprise Server for SAP …

Incorrect Calculation

OPA is an open source, general-purpose policy engine. Under certain conditions, pretty-printing an abstract syntax tree (AST) that contains synthetic nodes could change the logic of some statements by reordering array literals. Example of policies impacted are those that parse and compare web paths. All of these three conditions have to be met to create an adverse effect: An AST of Rego had to be created programmatically such that it …

Incorrect Authorization

In Apache Solr, the cluster can be partitioned into multiple collections and only a subset of nodes actually host any given collection. However, if a node receives a request for a collection it does not host, it proxies the request to a relevant node and serves the request. Solr bypasses all authorization settings for such requests. This affects all Solr versions prior to 7.7 that use the default authorization mechanism …

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

A regression has been introduced in the commit preventing JMX re-bind. By passing an empty environment map to RMIConnectorServer, instead of the map that contains the authentication credentials, it leaves ActiveMQ open to the following attack: https://docs.oracle.com/javase/8/docs/technotes/guides/management/agent.html "A remote client could create a javax.management.loading.MLet MBean and use it to create new MBeans from arbitrary URLs, at least if there is no security manager. In other words, a rogue remote client …

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

XWiki Platform is a generic wiki platform offering runtime services for applications built on top of it. In affected versions it's possible for an unprivileged user to perform a remote code execution by injecting a groovy script in her own profile and by calling the Reset password feature since the feature is performing a save of the user profile with programming rights in the impacted versions of XWiki. The issue …

Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')

XWiki Platform is a generic wiki platform offering runtime services for applications built on top of it.This template is only used in the following conditions: The wiki must be open to registration for anyone. The wiki must be closed to view for Guest users or more specifically the XWiki.Registration page must be forbidden in View for guest user. A way to obtain the second condition is when administrators checked the …

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

XWiki Platform is a generic wiki platform offering runtime services for applications built on top of it. it is possible to for the HTML export process to contain reference elements containing filesystem syntax like "../", "./". or "/" in general. The referenced elements are not properly escaped. This issue has been resolved . This issue can be worked around by limiting or disabling document export.

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

Apache Flink 1.5.1 introduced a REST handler that allows you to write an uploaded file to an arbitrary location on the local file system, through a maliciously modified HTTP HEADER. The files can be written to any location accessible by Flink 1.5.1. All users should upgrade to Flink 1.11.3 or 1.12.0 if their Flink instance(s) are exposed. The issue was fixed in commit a5264a6f41524afe8ceadf1d8ddc8c80f323ebc4 from apache/flink:master.

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

superjson is a program to allow JavaScript expressions to be serialized to a superset of JSON. superjson allows input to run arbitrary code on any server using superjson input without prior authentication or knowledge. The only requirement is that the server implements at least one endpoint which uses superjson during request processing. This has been patched in superjson Users are advised to update. There are no known workarounds for this …

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

superjson is a program to allow JavaScript expressions to be serialized to a superset of JSON. superjson allows input to run arbitrary code on any server using superjson input without prior authentication or knowledge. The only requirement is that the server implements at least one endpoint which uses superjson during request processing. This has been patched in superjson Users are advised to update. There are no known workarounds for this …

Improper Check for Unusual or Exceptional Conditions

Tensorflow is an Open Source Machine Learning Framework. The implementation of *Bincount operations allows malicious users to cause denial of service by passing in arguments which would trigger a CHECK-fail. There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in CHECK failures later when the output tensors get allocated. The fix will …

Improper Check for Unusual or Exceptional Conditions

Tensorflow is an Open Source Machine Learning Framework. The simplifyBroadcast function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault , if called with scalar shapes. If all shapes are scalar, then maxRank is 0, so we build an empty SmallVector. The fix will be included in TensorFlow 2.8.0. This is the only affected version.

Improper Check for Unusual or Exceptional Conditions

Tensorflow is an Open Source Machine Learning Framework. A GraphDef from a TensorFlow SavedModel can be maliciously altered to cause a TensorFlow process to crash due to encountering a StatusOr value that is an error and forcibly extracting the value from it. We have patched the issue in multiple GitHub commits and these will be included in TensorFlow 2.8.0 and TensorFlow 2.7.1, as both are affected.

Improper Check for Unusual or Exceptional Conditions

Tensorflow is an Open Source Machine Learning Framework. The implementation of *Bincount operations allows malicious users to cause denial of service by passing in arguments which would trigger a CHECK-fail. There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in CHECK failures later when the output tensors get allocated. The fix will …

Improper Check for Unusual or Exceptional Conditions

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, TensorFlow can fail to specialize a type during shape inference. This case is covered by the DCHECK function however, DCHECK is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the ValueOrDie line. This results in an assertion failure as ret contains an error Status, not a value. In …

Improper Check for Unusual or Exceptional Conditions

Tensorflow is an Open Source Machine Learning Framework. A GraphDef from a TensorFlow SavedModel can be maliciously altered to cause a TensorFlow process to crash due to encountering a StatusOr value that is an error and forcibly extracting the value from it. We have patched the issue in multiple GitHub commits and these will be included in TensorFlow 2.8.0 and TensorFlow 2.7.1, as both are affected.

Improper Check for Unusual or Exceptional Conditions

Tensorflow is an Open Source Machine Learning Framework. The simplifyBroadcast function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault , if called with scalar shapes. If all shapes are scalar, then maxRank is 0, so we build an empty SmallVector. The fix will be included in TensorFlow 2.8.0. This is the only affected version.

Improper Check for Unusual or Exceptional Conditions

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, TensorFlow can fail to specialize a type during shape inference. This case is covered by the DCHECK function however, DCHECK is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the ValueOrDie line. This results in an assertion failure as ret contains an error Status, not a value. In …

Exposure of Sensitive Information to an Unauthorized Actor in Apache Tomcat

If an HTTP/2 client connecting to Apache Tomcat 10.0.0-M1 to 10.0.0-M7, 9.0.0.M1 to 9.0.37 or 8.5.0 to 8.5.57 exceeded the agreed maximum number of concurrent streams for a connection (in violation of the HTTP/2 protocol), it was possible that a subsequent request made on that connection could contain HTTP headers - including HTTP/2 pseudo headers - from a previous request rather than the intended headers. This could lead to users …

Exposure of Sensitive Information to an Unauthorized Actor in Apache Tomcat

If an HTTP/2 client connecting to Apache Tomcat 10.0.0-M1 to 10.0.0-M7, 9.0.0.M1 to 9.0.37 or 8.5.0 to 8.5.57 exceeded the agreed maximum number of concurrent streams for a connection (in violation of the HTTP/2 protocol), it was possible that a subsequent request made on that connection could contain HTTP headers - including HTTP/2 pseudo headers - from a previous request rather than the intended headers. This could lead to users …

Exposure of Sensitive Information to an Unauthorized Actor

XWiki Platform is a generic wiki platform offering runtime services for applications built on top of it. In affected versions it's possible to guess if a user has an account on the wiki by using the "Forgot your password" form, even if the wiki is closed to guest users. This problem has been patched on XWiki 12.10.9, 13.4.1 and 13.6RC1. Users are advised yo update. There are no known workarounds …

Divide By Zero

Tensorflow is an Open Source Machine Learning Framework. ### Impact An attacker can craft a TFLite model that would trigger a division by zero in the implementation of depthwise convolutions. The parameters of the convolution can be user controlled and are also used within a division operation to determine the size of the padding that needs to be added before applying the convolution. There is no check before this division …

Divide By Zero

Tensorflow is an Open Source Machine Learning Framework. ### Impact An attacker can craft a TFLite model that would trigger a division by zero in the implementation of depthwise convolutions. The parameters of the convolution can be user controlled and are also used within a division operation to determine the size of the padding that needs to be added before applying the convolution. There is no check before this division …

Divide By Zero

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would trigger a division by zero in BiasAndClamp implementation. There is no check that the bias_size is non zero. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Divide By Zero

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would trigger a division by zero in BiasAndClamp implementation. There is no check that the bias_size is non zero. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Deserialization of Untrusted Data

A deserialization vulnerability existed in dubbo and its earlier versions, which could lead to malicious code execution. Most Dubbo users use Hessian2 as the default serialization/deserialization protool, during Hessian2 deserializing the HashMap object, some functions in the classes stored in HasMap will be executed after a series of program calls, however, those special functions may cause remote command execution.

Deserialization of Untrusted Data

A Java Serialization vulnerability was found in Apache Tapestry Apache Tapestry 4 will attempt to deserialize the "sp" parameter even before invoking the page's validate method, leading to deserialization without authentication. Apache Tapestry 4 reached end of life and no update to address this issue will be released. Apache Tapestry 5 versions are not vulnerable to this issue. Users of Apache Tapestry 4 should upgrade to the latest Apache Tapestry …

Authentication Bypass by Primary Weakness

A vulnerability was found in all versions of keycloak, where on using lower case HTTP headers (via cURL) we can bypass our Gatekeeper. Lower case headers are also accepted by some webservers (e.g. Jetty). This means there is no protection when we put a Gatekeeper in front of a Jetty server and use lowercase headers.

Relative Path Traversal

Fix of CVE-2021-40525 do not prepend delimiters upon valid directory validations. Affected implementations include: - maildir mailbox store - Sieve file repository This enables a user to access other users data stores (limited to user names being prefixed by the value of the username being used).

Incorrect Authorization

Kubernetes API server in all versions allow an attacker who is able to create a ClusterIP service and set the spec.externalIPs field, to intercept traffic to that IP address. Additionally, an attacker who is able to patch the status (which is considered a privileged operation and should not typically be granted to users) of a LoadBalancer service can set the status.loadBalancer.ingress.ip to similar effect.

Uncontrolled Resource Consumption

Tensorflow is an Open Source Machine Learning Framework. During shape inference, TensorFlow can allocate a large vector based on a value from a tensor controlled by the user. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Uncontrolled Resource Consumption

Tensorflow is an Open Source Machine Learning Framework. During shape inference, TensorFlow can allocate a large vector based on a value from a tensor controlled by the user. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. The Grappler optimizer in TensorFlow can be used to cause a denial of service by altering a SavedModel such that IsSimplifiableReshape would trigger CHECK failures. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. The Grappler optimizer in TensorFlow can be used to cause a denial of service by altering a SavedModel such that IsSimplifiableReshape would trigger CHECK failures. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Improper Input Validation

Frourio is a full stack framework, for TypeScript. Frourio users who uses frourio version prior to v0.26.0 and integration with class-validator through validators/ folder are subject to a input validation vulnerability. Validators do not work properly for request bodies and queries in specific situations and some input is not validated at all. Users are advised to update frourio to v0.26.0 or later and to install class-transformer and reflect-metadata.

Improper Input Validation

Frourio-express is a minimal full stack framework, for TypeScript. Frourio-express users who uses frourio-express version prior to v0.26.0 and integration with class-validator through validators/ folder are subject to a input validation vulnerability. Validators do not work properly for request bodies and queries in specific situations and some input is not validated at all. Users are advised to update frourio to v0.26.0 or later and to install class-transformer and reflect-metadata.

Improper Authentication

fleet is an open source device management, built on osquery. expose a limited ability to spoof SAML authentication with missing audience verification. This impacts deployments using SAML SSO in two specific cases: A malicious or compromised Service Provider (SP) could reuse the SAML response to log into Fleet as a user – only if the user has an account with the same email in Fleet, and the user signs into …

Integer Overflow or Wraparound

CGI.escape_html in Ruby has an integer overflow and resultant buffer overflow via a long string on platforms (such as Windows) where size_t and long have different numbers of bytes.

Use of Uninitialized Resource

Tensorflow is an Open Source Machine Learning Framework. The implementation of AssignOp can result in copying uninitialized data to a new tensor. This later results in undefined behavior. The implementation has a check that the left hand side of the assignment is initialized (to minimize number of allocations), but does not check that the right hand side is also initialized. The fix will be included in TensorFlow We will also …

Use After Free

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a use after free behavior when decoding PNG images. After png::CommonFreeDecode(&decode) gets called, the values of decode.width and decode.height are in an unspecified state. 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.

Uncontrolled Resource Consumption

Tensorflow is an Open Source Machine Learning Framework. The GraphDef format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a GraphDef containing a fragment such as the following can be consumed when loading a SavedModel. This would result in a stack overflow during execution as resolving each NodeDef means resolving the function itself and its nodes. The fix will be included …

Uncontrolled Resource Consumption

Tensorflow is an Open Source Machine Learning Framework. During shape inference, TensorFlow can allocate a large vector based on a value from a tensor controlled by the user. 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.

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. An attacker can trigger denial of service via assertion failure by altering a SavedModel on disk such that AttrDefs of some operation are duplicated. 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.

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a SavedModel such that Grappler optimizer would attempt to build a tensor using a reference dtype. This would result in a crash due to a CHECK-fail in the Tensor constructor as reference types are not allowed. The fix will be included in TensorFlow We will also cherrypick this commit on TensorFlow, …

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a SavedModel such that TensorByteSize would trigger CHECK failures. TensorShape constructor throws a CHECK-fail if shape is partial or has a number of elements that would overflow the size of an int. The PartialTensorShape constructor instead does not cause a CHECK-abort if the shape is partial, which is exactly what this …

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a SavedModel such that any binary op would trigger CHECK failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the dtype no longer matches the dtype expected by the op. In that case, calling the templated binary operator for the binary op would receive …

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a SavedModel such that assertions in function.cc would be falsified and crash the Python interpreter. 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.

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. The Grappler optimizer in TensorFlow can be used to cause a denial of service by altering a SavedModel such that SafeToRemoveIdentity would trigger CHECK failures. 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.

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. When decoding a tensor from protobuf, a TensorFlow process can encounter cases where a CHECK assertion is invalidated based on user controlled arguments, if the tensors have an invalid dtype and 0 elements or an invalid shape. This allows attackers to cause denial of services in TensorFlow processes. The fix will be included in TensorFlow We will also cherrypick this commit on …

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. The Grappler optimizer in TensorFlow can be used to cause a denial of service by altering a SavedModel such that IsSimplifiableReshape would trigger CHECK failures. 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.

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. When decoding a resource handle tensor from protobuf, a TensorFlow process can encounter cases where a CHECK assertion is invalidated based on user controlled arguments. This allows attackers to cause denial of services in TensorFlow processes. 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 …

Out-of-bounds Write

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause a write outside of bounds of an array in TFLite. In fact, the attacker can override the linked list used by the memory allocator. This can be leveraged for an arbitrary write primitive under certain conditions. The fix will be included in TensorFlow We will also cherrypick this commit on TensorFlow, TensorFlow, …

Out-of-bounds Write

Tensorflow is an Open Source Machine Learning Framework. TensorFlow is vulnerable to a heap OOB write in Grappler. The set_output function writes to an array at the specified index. Hence, this gives a malicious user a write primitive. 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 Open Source Machine Learning Framework. The TFG dialect of TensorFlow (MLIR) makes several assumptions about the incoming GraphDef before converting it to the MLIR-based dialect. If an attacker changes the SavedModel format on disk to invalidate these assumptions and the GraphDef is then converted to MLIR-based IR then they can cause a crash in the Python interpreter. Under certain scenarios, heap OOB read/writes are possible. These issues …

Out-of-bounds Read

Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow's SpecializeType which results in heap OOB read/write. Due to a typo, arg is initialized to the ith mutable argument in a loop where the loop index is j. Hence it is possible to assign to arg from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to …

Out-of-bounds Read

Tensorflow is an Open Source Machine Learning Framework. TensorFlow's type inference can cause a heap out-of-bounds read as the bounds checking is done in a DCHECK (which is a no-op during production). An attacker can control the input_idx variable such that ix would be larger than the number of values in node_t.args.

NULL Pointer Dereference

Tensorflow is an Open Source Machine Learning Framework. When building an XLA compilation cache, if default settings are used, TensorFlow triggers a null pointer dereference. In the default scenario, all devices are allowed, so flr->config_proto is nullptr. 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 Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow can trigger a null pointer dereference. There are 2 places where this can occur, for the same malicious alteration of a SavedModel file (fixing the first one would trigger the same dereference in the second place). First, during constant folding, the GraphDef might not have the required nodes for the binary operation. If a node …

NULL Pointer Dereference

Tensorflow is an Open Source Machine Learning Framework. The implementation of GetInitOp is vulnerable to a crash caused by dereferencing a null pointer. 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 Open Source Machine Learning Framework. When decoding a tensor from protobuf, TensorFlow might do a null-dereference if attributes of some mutable arguments to some operations are missing from the proto. This is guarded by a DCHECK. However, DCHECK is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the dereferencing of the null pointer, whereas in the …

Missing Release of Memory after Effective Lifetime

Tensorflow is an Open Source Machine Learning Framework. When decoding PNG images TensorFlow can produce a memory leak if the image is invalid. After calling png::CommonInitDecode(…, &decode), the decode value contains allocated buffers which can only be freed by calling png::CommonFreeDecode(&decode). However, several error case in the function implementation invoke the OP_REQUIRES macro which immediately terminates the execution of the function, without allowing for the memory free to occur. The …

Missing Release of Memory after Effective Lifetime

Tensorflow is an Open Source Machine Learning Framework. If a graph node is invalid, TensorFlow can leak memory in the implementation of ImmutableExecutorState::Initialize. Here, we set item->kernel to nullptr but it is a simple OpKernel* pointer so the memory that was previously allocated to it would leak. The fix will be included in TensorFlow We will also cherrypick this commit on TensorFlow, TensorFlow, and TensorFlow, as these are also affected …

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior. 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.

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. The implementation of OpLevelCostEstimator::CalculateOutputSize is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number of dimensions in output_shape.dim() or just a small number of dimensions being large enough to cause an overflow in the multiplication. The fix will be included in TensorFlow …

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. The implementation of OpLevelCostEstimator::CalculateTensorSize is vulnerable to an integer overflow if an attacker can create an operation which would involve a tensor with large enough number of elements. 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.

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in TfLiteIntArrayCreate. The TfLiteIntArrayGetSizeInBytes returns an int instead of a size_t. An attacker can control model inputs such that computed_sizeoverflows the size ofint` datatype. 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 …

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in embedding lookup operations. Both embedding_size and lookup_size are products of values provided by the user. Hence, a malicious user could trigger overflows in the multiplication. In certain scenarios, this can then result in heap OOB read/write. Users are advised to upgrade to a patched version.

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. The implementation of Range suffers from integer overflows. These can trigger undefined behavior or, in some scenarios, extremely large allocations. 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 Initialization

In OpenZeppelin <=v4.4.0, initializer functions that are invoked separate from contract creation (the most prominent example being minimal proxies) may be reentered if they make an untrusted non-view external call. Once an initializer has finished running it can never be re-executed. However, an exception put in place to support multiple inheritance made reentrancy possible, breaking the expectation that there is a single execution.

Improper Initialization

In OpenZeppelin <=v4.4.0, initializer functions that are invoked separate from contract creation (the most prominent example being minimal proxies) may be reentered if they make an untrusted non-view external call. Once an initializer has finished running it can never be re-executed. However, an exception put in place to support multiple inheritance made reentrancy possible, breaking the expectation that there is a single execution.

Improper Check for Unusual or Exceptional Conditions

Tensorflow is an Open Source Machine Learning Framework. A GraphDef from a TensorFlow SavedModel can be maliciously altered to cause a TensorFlow process to crash due to encountering a StatusOr value that is an error and forcibly extracting the value from it. We have patched the issue in multiple GitHub commits and these will be included in TensorFlow and TensorFlow, as both are affected.

Improper Check for Unusual or Exceptional Conditions

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, TensorFlow can fail to specialize a type during shape inference. This case is covered by the DCHECK function however, DCHECK is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the ValueOrDie line. This results in an assertion failure as ret contains an error Status, not a value. In …

Improper Check for Unusual or Exceptional Conditions

Tensorflow is an Open Source Machine Learning Framework. The simplifyBroadcast function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault (hence, denial of service), if called with scalar shapes. If all shapes are scalar, then maxRank is 0, so we build an empty SmallVector.

Exposure of Resource to Wrong Sphere

Tensorflow is an Open Source Machine Learning Framework. In multiple places, TensorFlow uses tempfile.mktemp to create temporary files. While this is acceptable in testing, in utilities and libraries it is dangerous as a different process can create the file between the check for the filename in mktemp and the actual creation of the file by a subsequent operation (a TOC/TOU type of weakness). In several instances, TensorFlow was supposed to …

Divide By Zero

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would trigger a division by zero in BiasAndClamp implementation. There is no check that the bias_size is non zero. 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.

Reachable Assertion

Tensorflow is an Open Source Machine Learning Framework. Multiple operations in TensorFlow can be used to trigger a denial of service via CHECK-fails (i.e., assertion failures). This is similar to TFSA-2021-198 and has similar fixes. We have patched the reported issues in multiple GitHub commits. It is possible that other similar instances exist in TensorFlow, we will issue fixes as these are discovered. The fix will be included in TensorFlow …

Out-of-bounds Write

Tensorflow is an Open Source Machine Learning Framework. The implementation of SparseCountSparseOutput is vulnerable to a heap overflow. 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 Open Source Machine Learning Framework. The implementation of FractionalAvgPoolGrad does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. 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 Open Source Machine Learning Framework. The implementation of shape inference for ReverseSequence does not fully validate the value of batch_dim and can result in a heap OOB read. There is a check to make sure the value of batch_dim does not go over the rank of the input, but there is no check for negative values. Negative dimensions are allowed in some cases to mimic Python's negative …

Out-of-bounds Read

Tensorflow is an Open Source Machine Learning Framework. The implementation of Dequantize does not fully validate the value of axis and can result in heap OOB accesses. The axis argument can be -1 (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked and this results in reading past the end of …

NULL Pointer Dereference

Tensorflow is an Open Source Machine Learning Framework. The implementation of SparseTensorSliceDataset has an undefined behavior: under certain condition it can be made to dereference a nullptr value. The 3 input arguments to SparseTensorSliceDataset represent a sparse tensor. However, there are some preconditions that these arguments must satisfy but these are not validated in the implementation. The fix will be included in TensorFlow We will also cherrypick this commit on …

NULL Pointer Dereference

Tensorflow is an Open Source Machine Learning Framework. The implementation of QuantizedMaxPool has an undefined behavior where user controlled inputs can trigger a reference binding to null pointer. 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.

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. The implementation of AddManySparseToTensorsMap is vulnerable to an integer overflow which results in a CHECK-fail when building new TensorShape objects (so, an assert failure based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large TensorShape with user-provided dimensions. The fix will be included in TensorFlow We will also cherrypick …

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. The implementations of SparseCwise ops is vulnerable to integer overflows. These can be used to trigger large allocations (so, OOM based denial of service) or CHECK-fails when building new TensorShape objects (so, assert failures based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large TensorShape with user-provided dimensions. The …

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. The implementation of UnravelIndex is vulnerable to a division by zero caused by an integer overflow bug. 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.

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. The implementation of StringNGrams can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. We are missing a validation on pad_witdh and that result in computing a negative value for ngram_width which is later used to allocate parts of the output. The fix will be included in TensorFlow We will also …

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for Dequantize is vulnerable to an integer overflow weakness. The axis argument can be -1 (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes axis + 1, an attacker can trigger an integer …

Integer Overflow or Wraparound

Tensorflow is an Open Source Machine Learning Framework. The implementation of SparseCountSparseOutput can be made to crash a TensorFlow process by an integer overflow whose result is then used in a memory allocation. 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 Check for Unusual or Exceptional Conditions

Tensorflow is an Open Source Machine Learning Framework. The implementation of *Bincount operations allows malicious users to cause denial of service by passing in arguments which would trigger a CHECK-fail. There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in CHECK failures later when the output tensors get allocated. The fix will …

Divide By Zero

Tensorflow is an Open Source Machine Learning Framework. The estimator for the cost of some convolution operations can be made to execute a division by The function fails to check that the stride argument is strictly positive. Hence, the fix is to add a check for the stride argument to ensure it is valid. The fix will be included in TensorFlow We will also cherrypick this commit on TensorFlow, TensorFlow, …

Divide By Zero

Tensorflow is an Open Source Machine Learning Framework. The implementation of FractionalMaxPool can be made to crash a TensorFlow process via a division by 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 Open Source Machine Learning Framework. ### Impact An attacker can craft a TFLite model that would trigger a division by zero in the implementation of depthwise convolutions. The parameters of the convolution can be user controlled and are also used within a division operation to determine the size of the padding that needs to be added before applying the convolution. There is no check before this division …

Allocation of Resources Without Limits or Throttling

Tensorflow is an Open Source Machine Learning Framework. The implementation of ThreadPoolHandle can be used to trigger a denial of service attack by allocating too much memory. This is because the num_threads argument is only checked to not be negative, but there is no upper bound on its value. The fix will be included in TensorFlow We will also cherrypick this commit on TensorFlow, TensorFlow, and TensorFlow, as these are …

Access of Resource Using Incompatible Type ('Type Confusion')

Tensorflow is an Open Source Machine Learning Framework. The implementation of MapStage is vulnerable a CHECK-fail if the key tensor is not a scalar. 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.

Access of Resource Using Incompatible Type ('Type Confusion')

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ConcatV2 can be used to trigger a denial of service attack via a segfault caused by a type confusion. The axis argument is translated into concat_dim in the ConcatShapeHelper helper function. Then, a value for min_rank is computed based on concat_dim. This is then used to validate that the values tensor has at least the required …

Time-of-check Time-of-use (TOCTOU) Race Condition

As mitigations to a report from 2019 and CVE-2020-8555, Kubernetes attempts to prevent proxied connections from accessing link-local or localhost networks when making user-driven connections to Services, Pods, Nodes, or StorageClass service providers. As part of this mitigation Kubernetes does a DNS name resolution check and validates that response IPs are not in the link-local (169.254.0.0/16) or localhost (127.0.0.0/8) range. Kubernetes then performs a second DNS resolution without validation for …

Remote code execution vulnerability using plugin features

pgjdbc is the offical PostgreSQL JDBC Driver. A security hole was found in the jdbc driver for postgresql database while doing security research. The system using the postgresql library will be attacked when attacker control the jdbc url or properties. pgjdbc instantiates plugin instances based on class names provided via authenticationPluginClassName, sslhostnameverifier, socketFactory, sslfactory, sslpasswordcallback connection properties. However, the driver does not verify if the class implements the expected interface …

Use After Free

Element Desktop is a Matrix client for desktop platforms with Element Web at its core. Element Desktop before 1.9.7 is vulnerable to a remote program execution bug with user interaction. The exploit is non-trivial and requires clicking on a malicious link, followed by another button click. To the best of our knowledge, the vulnerability has never been exploited in the wild. If you are using Element Desktop < 1.9.7, we …

Unsafe handling of user-specified cookies in treq

treq is an HTTP library inspired by requests but written on top of Twisted's Agents. Treq's request methods (treq.get, treq.post, etc.) and treq.client.HTTPClient constructor accept cookies as a dictionary. Such cookies are not bound to a single domain, and are therefore sent to every domain ("supercookies"). This can potentially cause sensitive information to leak upon an HTTP redirect to a different domain., e.g. should https://example.com redirect to http://cloudstorageprovider.com the latter …

Prototype pollution in min-dash < 3.8.1

Impact The set method is vulnerable to prototype pollution with specially crafted inputs. // insert the following into poc.js and run node poc,js (after installing the package) let parser = require("min-dash"); parser.set({}, [["proto"], "polluted"], "success"); console.log(polluted); Patches min-dash>=3.8.1 fix the issue. Workarounds No workarounds exist for the issue. References Closed via https://github.com/bpmn-io/min-dash/pull/21. Credits Credits to Cristian-Alexandru STAICU who found the vulnerability and to Idan Digmi from the Snyk Security Team …

Path traversal in SharpZipLib

SharpZipLib (or #ziplib) is a Zip, GZip, Tar and BZip2 library. A check was added if the destination file is under a destination directory. However, it is not enforced that _baseDirectory ends with slash. If the _baseDirectory is not slash terminated like /home/user/dir it is possible to create a file with a name thats begins as the destination directory one level up from the directory, i.e. /home/user/dir.sh. Because of the …

Path traversal in SharpZipLib

SharpZipLib (or #ziplib) is a Zip, GZip, Tar and BZip2 library. A check was added if the destination file is under destination directory. However, it is not enforced that destDir ends with slash. If the destDir is not slash terminated like /home/user/dir it is possible to create a file with a name thats begins with the destination directory, i.e. /home/user/dir.sh. Because of the file name and destination directory constraints, the …

Insufficiently Protected Credentials

Apache Superset up to and including allowed for registered database connections password leak for authenticated users. This information could be accessed in a non-trivial way. Users should upgrade to Apache Superset or higher.

Incorrect Authorization

In Apache Pulsar it is possible to access data from BookKeeper that does not belong to the topics accessible by the authenticated user. The Admin API get-message-by-id requires the user to input a topic and a ledger id. The ledger id is a pointer to the data, and it is supposed to be a valid it for the topic. Authorisation controls are performed against the topic name and there is …

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

gh-ost is a triggerless online schema migration solution for MySQL. It is subject to an arbitrary file read vulnerability. The attacker must have access to the target host or trick an administrator into executing a malicious gh-ost command on a host running gh-ost, plus network access from host running gh-ost to the attack's malicious MySQL server. The -database parameter does not properly sanitize user input which can lead to arbitrary …

Improper Input Validation in AKPublic.Verify with attacker-controlled TPM Quote

An improper input validation vulnerability in go-attestation allows local users to provide a maliciously-formed Quote over no/some PCRs, causing AKPublic.Verify to succeed despite the inconsistency. Subsequent use of the same set of PCR values in Eventlog.Verify lacks the authentication performed by quote verification, meaning a local attacker could couple this vulnerability with a maliciously-crafted TCG log in Eventlog.Verify to spoof events in the TCG log, hence defeating remotely-attested measured-boot.

Improper Input Validation

In Apache Pulsar it is possible to access data from BookKeeper that does not belong to the topics accessible by the authenticated user. The Admin API get-message-by-id requires the user to input a topic and a ledger id. The ledger id is a pointer to the data, and it is supposed to be a valid it for the topic. Authorisation controls are performed against the topic name and there is …

Improper Input Validation

In Apache Pulsar it is possible to access data from BookKeeper that does not belong to the topics accessible by the authenticated user. The Admin API get-message-by-id requires the user to input a topic and a ledger id. The ledger id is a pointer to the data, and it is supposed to be a valid it for the topic. Authorisation controls are performed against the topic name and there is …