Backdrop CMS version 1.23.0 was discovered to contain a stored cross-site scripting (XSS) vulnerability via the Page content.

pgjdbc is an open source postgresql JDBC Driver. In affected versions a prepared statement using either `PreparedStatement.setText(int, InputStream)` or `PreparedStatemet.setBytea(int, InputStream)` will create a temporary file if the InputStream is larger than 2k. This will create a temporary file which is readable by other users on Unix like systems, but not MacOS. On Unix like systems, the system's temporary directory is shared between all users on that system. Because of this, when files and directories are written into this directory they are, by default, readable by other users on that same system. This vulnerability does not allow other users to overwrite the contents of these directories or files. This is purely an information disclosure vulnerability. Because certain JDK file system APIs were only added in JDK 1.7, this this fix is dependent upon the version of the JDK you are using. Java 1.7 and higher users: this vulnerability is fixed in 4.5.0. Java 1.6 and lower users: no patch is available. If you are unable to patch, or are stuck running on Java 1.6, specifying the java.io.tmpdir system environment variable to a directory that is exclusively owned by the executing user will mitigate this vulnerability.

A denial-of-service vulnerability in Mattermost allows an authenticated user to crash the server via multiple large autoresponder messages.

A denial-of-service vulnerability in the Mattermost allows an authenticated user to crash the server via multiple requests to one of the API endpoints which could fetch a large amount of data.

A vulnerability was found in Moodle which exists due to insufficient validation of the HTTP request origin in course redirect URL. A user's CSRF token was unnecessarily included in the URL when being redirected to a course they have just restored. A remote attacker can trick the victim to visit a specially crafted web page and perform arbitrary actions on behalf of the victim on the vulnerable website. This flaw allows an attacker to perform cross-site request forgery attacks.

Alarm instance management has command injection when there is a specific command configured. It is only for logged-in users. We recommend you upgrade to version 2.0.6 or higher

CKAN through 2.9.6 account takeovers by unauthenticated users when an existing user id is sent via an HTTP POST request. This allows a user to take over an existing account including superuser accounts.

An XSS issue was discovered on the Job Edit page in Rundeck Community Edition before 3.0.13, related to assets/javascripts/workflowStepEditorKO.js and views/execution/_wfitemEdit.gsp.

TensorFlow is an open source platform for machine learning. The reference kernel of the `CONV_3D_TRANSPOSE` TensorFlow Lite operator wrongly increments the data_ptr when adding the bias to the result. Instead of `data_ptr += num_channels;` it should be `data_ptr += output_num_channels;` as if the number of input channels is different than the number of output channels, the wrong result will be returned and a buffer overflow will occur if num_channels > output_num_channels. An attacker can craft a model with a specific number of input channels. It is then possible to write specific values through the bias of the layer outside the bounds of the buffer. This attack only works if the reference kernel resolver is used in the interpreter. We have patched the issue in GitHub commit 72c0bdcb25305b0b36842d746cc61d72658d2941. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection') vulnerability in Apache Airflow Hive Provider, Apache Airflow allows an attacker to execute arbtrary commands in the task execution context, without write access to DAG files. This issue affects Hive Provider versions prior to 4.1.0. It also impacts any Apache Airflow versions prior to 2.3.0 in case HIve Provider is installed (Hive Provider 4.1.0 can only be installed for Airflow 2.3.0+). Note that you need to manually install the HIve Provider version 4.1.0 in order to get rid of the vulnerability on top of Airflow 2.3.0+ version that has lower version of the Hive Provider installed).

Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection') vulnerability in Apache Airflow Spark Provider, Apache Airflow allows an attacker to read arbtrary files in the task execution context, without write access to DAG files. This issue affects Spark Provider versions prior to 4.0.0. It also impacts any Apache Airflow versions prior to 2.3.0 in case Spark Provider is installed (Spark Provider 4.0.0 can only be installed for Airflow 2.3.0+). Note that you need to manually install the Spark Provider version 4.0.0 in order to get rid of the vulnerability on top of Airflow 2.3.0+ version that has lower version of the Spark Provider installed).

Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection') vulnerability in Apache Airflow Pinot Provider, Apache Airflow allows an attacker to control commands executed in the task execution context, without write access to DAG files. This issue affects Apache Airflow Pinot Provider versions prior to 4.0.0. It also impacts any Apache Airflow versions prior to 2.3.0 in case Apache Airflow Pinot Provider is installed (Apache Airflow Pinot Provider 4.0.0 can only be installed for Airflow 2.3.0+). Note that you need to manually install the Pinot Provider version 4.0.0 in order to get rid of the vulnerability on top of Airflow 2.3.0+ version.

A URL parameter injection vulnerability was found in the back-channel ticket validation step of the CAS protocol in Jasig Java CAS Client before 3.3.2, .NET CAS Client before 1.0.2, and phpCAS before 1.3.3 that allow remote attackers to inject arbitrary web script or HTML via the (1) service parameter to validation/AbstractUrlBasedTicketValidator.java or (2) pgtUrl parameter to validation/Cas20ServiceTicketValidator.java.

When using the OpenWire protocol in ActiveMQ versions 5.14.0 to 5.15.2 it was found that certain system details (such as the OS and kernel version) are exposed as plain text.

Asset Pipeline Grails Plugin Asset-pipeline plugin version Prior to 2.14.1.1, 2.15.1 and 3.0.6 contains a Incorrect Access Control vulnerability in Applications deployed in Jetty that can result in Download .class files and any arbitrary file. This attack appear to be exploitable via Specially crafted GET request containing directory traversal from assets-pipeline context. This vulnerability appears to have been fixed in 2.14.1.1 (for Grails 2.x), 2.15.1 (for Grails 3 and Java 7) and 3.0.6 (for Grails 3 and Java 8).

An issue was discovered in the Asset Pipeline plugin before 3.0.4 for Grails. An attacker can perform directory traversal via a crafted request when a servlet-based application is executed in Jetty, because there is a classloader vulnerability that can allow a reverse file traversal route in AssetPipelineFilter.groovy or AssetPipelineFilterCore.groovy.

The cgi gem before 0.1.0.2, 0.2.x before 0.2.2, and 0.3.x before 0.3.5 for Ruby allows HTTP response splitting. This is relevant to applications that use untrusted user input either to generate an HTTP response or to create a CGI::Cookie object.

A URL parameter injection vulnerability was found in the back-channel ticket validation step of the CAS protocol in Jasig Java CAS Client before 3.3.2, .NET CAS Client before 1.0.2, and phpCAS before 1.3.3 that allow remote attackers to inject arbitrary web script or HTML via the (1) service parameter to validation/AbstractUrlBasedTicketValidator.java or (2) pgtUrl parameter to validation/Cas20ServiceTicketValidator.java.

Ignite Realtime Openfire 4.4.1 allows XSS via the setup/setup-datasource-standard.jsp username parameter.

Ignite Realtime Openfire before 3.9.2 is vulnerable to cross-site scripting, caused by improper validation of user-supplied input. A remote attacker could exploit this vulnerability via a crafted URL to execute script in a victim's Web browser within the security context of the hosting Web site, once the URL is clicked. An attacker could use this vulnerability to steal the victim's cookie-based authentication credentials.

PluginServlet.java in Ignite Realtime Openfire through 4.4.2 does not ensure that retrieved files are located under the Openfire home directory, aka a directory traversal vulnerability.

A Server Side Request Forgery (SSRF) vulnerability in FaviconServlet.java in Ignite Realtime Openfire through 4.4.2 allows attackers to send arbitrary HTTP GET requests.

Ignite Realtime Openfire 4.4.1 allows XSS via the setup/setup-datasource-standard.jsp password parameter.

The SSH Plugin stores credentials which allow jobs to access remote servers via the SSH protocol. User passwords and passphrases for encrypted SSH keys are stored in plaintext in a configuration file.

Ignite Realtime Openfire 4.4.1 allows XSS via the setup/setup-datasource-standard.jsp serverURL parameter.

Ignite Realtime Openfire 4.4.1 allows XSS via the setup/setup-datasource-standard.jsp driver parameter.

The Admin Console in Ignite Realtime Openfire Server before 4.1.7 allows arbitrary client-side JavaScript code execution on victims who click a crafted setup/setup-host-settings.jsp?domain= link, aka XSS. Session ID and data theft may follow as well as the possibility of bypassing CSRF protections, injection of iframes to establish communication channels, etc. The vulnerability is present after login into the application.

A directory traversal vulnerability has been found in the Assets controller in Play Framework 2.6.12 through 2.6.15 (fixed in 2.6.16) when running on Windows. It allows a remote attacker to download arbitrary files from the target server via specially crafted HTTP requests.

Jenkins Swarm Plugin Client 3.4 and earlier bundled a version of the commons-httpclient library with the vulnerability CVE-2012-6153 that incorrectly verified SSL certificates, making it susceptible to man-in-the-middle attacks.

Microweber v1.2.15 was discovered to allow attackers to perform an account takeover via a host header injection attack.

Backdrop CMS version 1.23.0 was discovered to contain a stored cross-site scripting (XSS) vulnerability via 'Comment.' .

JBoss RESTEasy before version 3.1.2 could be forced into parsing a request with YamlProvider, resulting in unmarshalling of potentially untrusted data which could allow an attacker to execute arbitrary code with RESTEasy application permissions.

Backdrop CMS version 1.23.0 was discovered to contain a stored cross-site scripting (XSS) vulnerability via the 'Card' content.

Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection') vulnerability in Apache Airflow Pig Provider, Apache Airflow allows an attacker to control commands executed in the task execution context, without write access to DAG files. This issue affects Pig Provider versions prior to 4.0.0. It also impacts any Apache Airflow versions prior to 2.3.0 in case Pig Provider is installed (Pig Provider 4.0.0 can only be installed for Airflow 2.3.0+). Note that you need to manually install the Pig Provider version 4.0.0 in order to get rid of the vulnerability on top of Airflow 2.3.0+ version.

A Zip slip vulnerability in the Elasticsearch Connector in Liferay Portal 7.3.3 through 7.4.3.18, and Liferay DXP 7.3 before update 6, and 7.4 before update 19 allows attackers to create or overwrite existing files on the filesystem via the installation of a malicious Elasticsearch Sidecar plugin.

Backdrop CMS version 1.23.0 was discovered to contain a stored cross-site scripting (XSS) vulnerability via Post content.

XWiki Platform is a generic wiki platform offering runtime services for applications built on top of it. The `modifications` rest endpoint does not filter out entries according to the user's rights. Therefore, information hidden from unauthorized users are exposed though the `modifications` rest endpoint (comments and page names etc). Users should upgrade to XWiki 14.6+, 14.4.3+, or 13.10.8+. Older versions have not been patched. There are no known workarounds.

XWiki Platform is a generic wiki platform offering runtime services for applications built on top of it. The application allows anyone with view access to modify any page of the wiki by importing a crafted XAR package. The problem has been patched in XWiki 14.6RC1, 14.6 and 13.10.8. As a workaround, setting the right of the page Filter.WebHome and making sure only the main wiki administrators can view the application installed on main wiki or edit the page and apply the changed described in commit fb49b4f.

Jenkins OSF Builder Suite : : XML Linter Plugin 1.0.2 and earlier does not configure its XML parser to prevent XML external entity (XXE) attacks.

A user is able to enable their own account if it was disabled by an admin while the user still holds a valid session. Moreover, the username is not properly sanitized in the admin user overview. This enables an XSS attack that enables an attacker with a low privilege user to execute arbitrary JavaScript in the context of an admin's account.

Zip slip vulnerability in FileUtil.unzip in Liferay Portal 7.4.3.5 through 7.4.3.35 and Liferay DXP 7.4 update 1 through update 34 allows attackers to create or overwrite existing files on the filesystem via the deployment of a malicious plugin/module.

A missing permission check in Jenkins CloudBees Docker Hub/Registry Notification Plugin 2.6.2 and earlier allows unauthenticated attackers to trigger builds of jobs corresponding to the attacker-specified repository.

Certain Liferay products are affected by: Missing SSL Certificate Validation in the Dynamic Data Mapping module's REST data providers. This affects Liferay Portal 7.1.0 through 7.4.2 and Liferay DXP 7.1 before fix pack 27, 7.2 before fix pack 17, and 7.3 before service pack 3.

The Friendly Url module in Liferay Portal 7.4.3.5 through 7.4.3.36, and Liferay DXP 7.4 update 1 though 36 does not properly check user permissions, which allows remote attackers to obtain the history of all friendly URLs that was assigned to a page.

The Asset Libraries module in Liferay Portal 7.3.5 through 7.4.3.28, and Liferay DXP 7.3 before update 8, and DXP 7.4 before update 29 does not properly check permissions of asset libraries, which allows remote authenticated users to view asset libraries via the UI.

The Hypermedia REST APIs module in Liferay Portal 7.4.1 through 7.4.3.4, and Liferay DXP 7.4 GA does not properly check permissions, which allows remote attackers to obtain a WikiNode object via the WikiNodeResource.getSiteWikiNodeByExternalReferenceCode API.

The Dynamic Data Mapping module in Liferay Portal 7.1.0 through 7.4.3.4, and Liferay DXP 7.1 before fix pack 27, 7.2 before fix pack 19, 7.3 before update 4, and 7.4 GA does not properly check permission of form entries, which allows remote authenticated users to view and access all form entries.

An Insecure direct object reference (IDOR) vulnerability in the Dynamic Data Mapping module in Liferay Portal 7.3.2 through 7.4.3.4, and Liferay DXP 7.3 before update 4, and 7.4 GA allows remote authenticated users to view and access form entries via the `formInstanceRecordId` parameter.

ReDoS vulnerability in LayoutPageTemplateEntryUpgradeProcess in Liferay Portal 7.3.2 through 7.4.3.4 and Liferay DXP 7.2 fix pack 9 through fix pack 18, 7.3 before update 4, and DXP 7.4 GA allows remote attackers to consume an excessive amount of server resources via a crafted payload injected into the 'name' field of a layout prototype.

Cross-site Scripting (XSS) - Generic in GitHub repository librenms/librenms prior to 22.10.0.

Class org.apache.sshd.server.keyprovider.SimpleGeneratorHostKeyProvider in Apache MINA SSHD <= 2.9.1 uses Java deserialization to load a serialized java.security.PrivateKey. The class is one of several implementations that an implementor using Apache MINA SSHD can choose for loading the host keys of an SSH server.

Cross-site Scripting (XSS) - Stored in GitHub repository librenms/librenms prior to 22.10.0.

A cross-site request forgery (CSRF) vulnerability in Jenkins Delete log Plugin 1.0 and earlier allows attackers to delete build logs.

** UNSUPPORTED WHEN ASSIGNED ** missing input validation in Apache Hama may cause information disclosure through path traversal and XSS. Since Apache Hama is EOL, we do not expect these issues to be fixed.

Jenkins JUnit Plugin 1159.v0b_396e1e07dd and earlier converts HTTP(S) URLs in test report output to clickable links in an unsafe manner, resulting in a stored cross-site scripting (XSS) vulnerability exploitable by attackers with Item/Configure permission.

Jenkins Pipeline Utility Steps Plugin 2.13.1 and earlier does not restrict the set of enabled prefix interpolators and bundles versions of Apache Commons Configuration library that enable the 'file:' prefix interpolator by default, allowing attackers able to configure Pipelines to read arbitrary files from the Jenkins controller file system.

Jenkins BART Plugin 1.0.3 and earlier does not escape the parsed content of build logs before rendering it on the Jenkins UI, resulting in a stored cross-site scripting (XSS) vulnerability.

Jenkins Violations Plugin 0.7.11 and earlier does not configure its XML parser to prevent XML external entity (XXE) attacks.

A cross-site request forgery (CSRF) vulnerability in Jenkins Cluster Statistics Plugin 0.4.6 and earlier allows attackers to delete recorded Jenkins Cluster Statistics.

A missing permission check in Jenkins Cluster Statistics Plugin 0.4.6 and earlier allows attackers to delete recorded Jenkins Cluster Statistics.

Jenkins SourceMonitor Plugin 0.2 and earlier does not configure its XML parser to prevent XML external entity (XXE) attacks.

In Concrete CMS (formerly concrete5) below 8.5.10 and between 9.0.0 and 9.1.2, the authTypeConcreteCookieMap table can be filled up causing a denial of service (high load).

Concrete CMS (formerly concrete5) below 8.5.10 and between 9.0.0 and 9.1.2 is vulnerable to Reflected XSS in the multilingual report due to un-sanitized output. Remediate by updating to Concrete CMS 9.1.3+ or 8.5.10+.

Cross-site Scripting (XSS) - Generic in GitHub repository librenms/librenms prior to 22.10.0.

Concrete CMS (formerly concrete5) below 8.5.10 and between 9.0.0 and 9.1.2 inadvertently disclose server-side sensitive information (secrets in environment variables and server information) when Debug Mode is left on in production.

Concrete CMS (formerly concrete5) below 8.5.10 and between 9.0.0 and 9.1.2 is vulnerable to Reflected XSS in the image manipulation library due to un-sanitized output.

Jenkins Reverse Proxy Auth Plugin 1.7.3 and earlier stores the LDAP manager password unencrypted in the global config.xml file on the Jenkins controller where it can be viewed by attackers with access to the Jenkins controller file system.

Jenkins NS-ND Integration Performance Publisher Plugin 4.8.0.146 and earlier unconditionally disables SSL/TLS certificate and hostname validation for several features.

Jenkins Config Rotator Plugin 2.0.1 and earlier does not restrict a file name query parameter in an HTTP endpoint, allowing unauthenticated attackers to read arbitrary files with '.xml' extension on the Jenkins controller file system.

Jenkins Associated Files Plugin 0.2.1 and earlier does not escape names of associated files, resulting in a stored cross-site scripting (XSS) vulnerability exploitable by attackers with Item/Configure permission.

Cross-site Scripting (XSS) - Stored in GitHub repository librenms/librenms prior to 22.10.0.

Insufficient Session Expiration in GitHub repository librenms/librenms prior to 22.10.0.

Jenkins CCCC Plugin 0.6 and earlier does not configure its XML parser to prevent XML external entity (XXE) attacks.

An issue was discovered in the FIPS Java API of Bouncy Castle BC-FJA before 1.0.2.4. Changes to the JVM garbage collector in Java 13 and later trigger an issue in the BC-FJA FIPS modules where it is possible for temporary keys used by the module to be zeroed out while still in use by the module, resulting in errors or potential information loss. NOTE: FIPS compliant users are unaffected because the FIPS certification is only for Java 7, 8, and 11.

Silverstripe silverstripe/framework through 4.11 allows XSS (issue 2 of 3).

Silverstripe silverstripe/framework through 4.11 allows SQL Injection.

Users with write permissions to a repository can delete arbitrary directories.

A missing permission check in Jenkins XP-Dev Plugin 1.0 and earlier allows unauthenticated attackers to trigger builds of jobs corresponding to an attacker-specified repository.

Concrete CMS (formerly concrete5) below 8.5.10 and between 9.0.0 and 9.1.2 is vulnerable to Stored Cross-Site Scripting (XSS) in icons since the Microsoft application tile color is not sanitized. Remediate by updating to Concrete CMS 9.1.3+ or 8.5.10+.

Concrete CMS (formerly concrete5) below 8.5.10 and between 9.0.0 and 9.1.2 is vulnerable to Reflected XSS - user can cause an administrator to trigger reflected XSS with a url if the targeted administrator is using an old browser that lacks XSS protection. Remediate by updating to Concrete CMS 9.1.3+ or 8.5.10+.

An integer overflow exists in Mapbox's closed source gl-native library prior to version 10.6.1, which is bundled with multiple Mapbox products including open source libraries. The overflow is caused by large image height and width values when creating a new Image and allows for out-of-bounds writes, potentially crashing the Mapbox process.

XXL-Job before v2.3.1 contains a Server-Side Request Forgery (SSRF) via the component /admin/controller/JobLogController.java.

Lancet is a general utility library for the go programming language. Affected versions are subject to a ZipSlip issue when using the fileutil package to unzip files. This issue has been addressed and a fix will be included in versions 2.1.10 and 1.3.4. Users are advised to upgrade. There are no known workarounds for this issue.

Jenkins JAPEX Plugin 1.7 and earlier does not configure its XML parser to prevent XML external entity (XXE) attacks.

Engine.IO is the implementation of transport-based cross-browser/cross-device bi-directional communication layer for Socket.IO. A specially crafted HTTP request can trigger an uncaught exception on the Engine.IO server, thus killing the Node.js process. This impacts all the users of the engine.io package, including those who uses depending packages like socket.io. There is no known workaround except upgrading to a safe version. There are patches for this issue released in versions 3.6.1 and 6.2.1.

An integer overflow exists in Mapbox's closed source gl-native library prior to version 10.6.1, which is bundled with multiple Mapbox products including open source libraries. The overflow is caused by large image height and width values when creating a new Image and allows for out-of-bounds writes, potentially crashing the Mapbox process.

Concrete CMS (formerly concrete5) below 8.5.10 and between 9.0.0 and 9.1.2 does not issue a new session ID upon successful OAuth authentication. Remediate by updating to Concrete CMS 9.1.3+ or 8.5.10+.

Concrete CMS (formerly concrete5) below 8.5.10 and between 9.0.0 and 9.1.2 is vulnerable to Reflected XSS in the dashboard icons due to un-sanitized output. Remediate by updating to Concrete CMS 9.1.3+ or 8.5.10+.

Concrete CMS (formerly concrete5) below 8.5.10 and between 9.0.0 and 9.1.2 is vulnerable to XXE based DNS requests leading to IP disclosure.

Jenkins NS-ND Integration Performance Publisher Plugin 4.8.0.143 and earlier globally and unconditionally disables SSL/TLS certificate and hostname validation for the entire Jenkins controller JVM.

Jenkins NS-ND Integration Performance Publisher Plugin 4.8.0.143 and earlier stores passwords unencrypted in job config.xml files on the Jenkins controller where they can be viewed by attackers with Extended Read permission, or access to the Jenkins controller file system.

TensorFlow is an open source platform for machine learning. The reference kernel of the `CONV_3D_TRANSPOSE` TensorFlow Lite operator wrongly increments the data_ptr when adding the bias to the result. Instead of `data_ptr += num_channels;` it should be `data_ptr += output_num_channels;` as if the number of input channels is different than the number of output channels, the wrong result will be returned and a buffer overflow will occur if num_channels > output_num_channels. An attacker can craft a model with a specific number of input channels. It is then possible to write specific values through the bias of the layer outside the bounds of the buffer. This attack only works if the reference kernel resolver is used in the interpreter. We have patched the issue in GitHub commit 72c0bdcb25305b0b36842d746cc61d72658d2941. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. When `tf.raw_ops.FusedResizeAndPadConv2D` is given a large tensor shape, it overflows. We have patched the issue in GitHub commit d66e1d568275e6a2947de97dca7a102a211e01ce. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. An input `sparse_matrix` that is not a matrix with a shape with rank 0 will trigger a `CHECK` fail in `tf.raw_ops.SparseMatrixNNZ`. We have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. When printing a tensor, we get it's data as a `const char*` array (since that's the underlying storage) and then we typecast it to the element type. However, conversions from `char` to `bool` are undefined if the `char` is not `0` or `1`, so sanitizers/fuzzers will crash. The issue has been patched in GitHub commit `1be74370327`. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.10.1, TensorFlow 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. If `FractionMaxPoolGrad` is given outsize inputs `row_pooling_sequence` and `col_pooling_sequence`, TensorFlow will crash. We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. If `SparseFillEmptyRowsGrad` is given empty inputs, TensorFlow will crash. We have patched the issue in GitHub commit af4a6a3c8b95022c351edae94560acc61253a1b8. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a `nullptr`, which is not caught. An example can be seen in `tf.compat.v1.extract_volume_patches` by passing in quantized tensors as input `ksizes`. We have patched the issue in GitHub commit e9e95553e5411834d215e6770c81a83a3d0866ce. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. If `BCast::ToShape` is given input larger than an `int32`, it will crash, despite being supposed to handle up to an `int64`. An example can be seen in `tf.experimental.numpy.outer` by passing in large input to the input `b`. We have patched the issue in GitHub commit 8310bf8dd188ff780e7fc53245058215a05bdbe5. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. Inputs `dense_features` or `example_state_data` not of rank 2 will trigger a `CHECK` fail in `SdcaOptimizer`. We have patched the issue in GitHub commit 80ff197d03db2a70c6a111f97dcdacad1b0babfa. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. If `tf.raw_ops.TensorListResize` is given a nonscalar value for input `size`, it results `CHECK` fail which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 888e34b49009a4e734c27ab0c43b0b5102682c56. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. If `MirrorPadGrad` is given outsize input `paddings`, TensorFlow will give a heap OOB error. We have patched the issue in GitHub commit 717ca98d8c3bba348ff62281fdf38dcb5ea1ec92. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. When ops that have specified input sizes receive a differing number of inputs, the executor will crash. We have patched the issue in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. When `tf.raw_ops.ImageProjectiveTransformV2` is given a large output shape, it overflows. We have patched the issue in GitHub commit 8faa6ea692985dbe6ce10e1a3168e0bd60a723ba. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. An input `token` that is not a UTF-8 bytestring will trigger a `CHECK` fail in `tf.raw_ops.PyFunc`. We have patched the issue in GitHub commit 9f03a9d3bafe902c1e6beb105b2f24172f238645. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

Concrete CMS (formerly concrete5) below 8.5.10 and between 9.0.0 and 9.1.2 does not use strict comparison for the legacy_salt so that limited authentication bypass could occur if using this functionality. Remediate by updating to Concrete CMS 9.1.3+ or 8.5.10+.

TensorFlow is an open source platform for machine learning. If `ThreadUnsafeUnigramCandidateSampler` is given input `filterbank_channel_count` greater than the allowed max size, TensorFlow will crash. We have patched the issue in GitHub commit 39ec7eaf1428e90c37787e5b3fbd68ebd3c48860. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. When the `BaseCandidateSamplerOp` function receives a value in `true_classes` larger than `range_max`, a heap oob read occurs. We have patched the issue in GitHub commit b389f5c944cadfdfe599b3f1e4026e036f30d2d4. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1.

TensorFlow is an open source platform for machine learning. When `tf.raw_ops.ResizeNearestNeighborGrad` is given a large `size` input, it overflows. We have patched the issue in GitHub commit 00c821af032ba9e5f5fa3fe14690c8d28a657624. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. `tf.keras.losses.poisson` receives a `y_pred` and `y_true` that are passed through `functor::mul` in `BinaryOp`. If the resulting dimensions overflow an `int32`, TensorFlow will crash due to a size mismatch during broadcast assignment. We have patched the issue in GitHub commit c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 and 2.9.3, as these are also affected and still in supported range. However, we will not cherrypick this commit into TensorFlow 2.8.x, as it depends on Eigen behavior that changed between 2.8 and 2.9.

TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. If `tf.raw_ops.TensorListConcat` is given `element_shape=[]`, it results segmentation fault which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit fc33f3dc4c14051a83eec6535b608abe1d355fde. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. An input `encoded` that is not a valid `CompositeTensorVariant` tensor will trigger a segfault in `tf.raw_ops.CompositeTensorVariantToComponents`. We have patched the issue in GitHub commits bf594d08d377dc6a3354d9fdb494b32d45f91971 and 660ce5a89eb6766834bdc303d2ab3902aef99d3d. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. When running on GPU, `tf.image.generate_bounding_box_proposals` receives a `scores` input that must be of rank 4 but is not checked. We have patched the issue in GitHub commit cf35502463a88ca7185a99daa7031df60b3c1c98. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. When `tf.raw_ops.FusedResizeAndPadConv2D` is given a large tensor shape, it overflows. We have patched the issue in GitHub commit d66e1d568275e6a2947de97dca7a102a211e01ce. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. An input `sparse_matrix` that is not a matrix with a shape with rank 0 will trigger a `CHECK` fail in `tf.raw_ops.SparseMatrixNNZ`. We have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. When printing a tensor, we get it's data as a `const char*` array (since that's the underlying storage) and then we typecast it to the element type. However, conversions from `char` to `bool` are undefined if the `char` is not `0` or `1`, so sanitizers/fuzzers will crash. The issue has been patched in GitHub commit `1be74370327`. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.10.1, TensorFlow 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. If `FractionMaxPoolGrad` is given outsize inputs `row_pooling_sequence` and `col_pooling_sequence`, TensorFlow will crash. We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. If `SparseFillEmptyRowsGrad` is given empty inputs, TensorFlow will crash. We have patched the issue in GitHub commit af4a6a3c8b95022c351edae94560acc61253a1b8. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a `nullptr`, which is not caught. An example can be seen in `tf.compat.v1.extract_volume_patches` by passing in quantized tensors as input `ksizes`. We have patched the issue in GitHub commit e9e95553e5411834d215e6770c81a83a3d0866ce. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. If `BCast::ToShape` is given input larger than an `int32`, it will crash, despite being supposed to handle up to an `int64`. An example can be seen in `tf.experimental.numpy.outer` by passing in large input to the input `b`. We have patched the issue in GitHub commit 8310bf8dd188ff780e7fc53245058215a05bdbe5. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. Inputs `dense_features` or `example_state_data` not of rank 2 will trigger a `CHECK` fail in `SdcaOptimizer`. We have patched the issue in GitHub commit 80ff197d03db2a70c6a111f97dcdacad1b0babfa. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. If `tf.raw_ops.TensorListResize` is given a nonscalar value for input `size`, it results `CHECK` fail which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 888e34b49009a4e734c27ab0c43b0b5102682c56. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. If `MirrorPadGrad` is given outsize input `paddings`, TensorFlow will give a heap OOB error. We have patched the issue in GitHub commit 717ca98d8c3bba348ff62281fdf38dcb5ea1ec92. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. When ops that have specified input sizes receive a differing number of inputs, the executor will crash. We have patched the issue in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. When `tf.raw_ops.ImageProjectiveTransformV2` is given a large output shape, it overflows. We have patched the issue in GitHub commit 8faa6ea692985dbe6ce10e1a3168e0bd60a723ba. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. An input `token` that is not a UTF-8 bytestring will trigger a `CHECK` fail in `tf.raw_ops.PyFunc`. We have patched the issue in GitHub commit 9f03a9d3bafe902c1e6beb105b2f24172f238645. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. If `ThreadUnsafeUnigramCandidateSampler` is given input `filterbank_channel_count` greater than the allowed max size, TensorFlow will crash. We have patched the issue in GitHub commit 39ec7eaf1428e90c37787e5b3fbd68ebd3c48860. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. When the `BaseCandidateSamplerOp` function receives a value in `true_classes` larger than `range_max`, a heap oob read occurs. We have patched the issue in GitHub commit b389f5c944cadfdfe599b3f1e4026e036f30d2d4. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1.

TensorFlow is an open source platform for machine learning. When `tf.raw_ops.ResizeNearestNeighborGrad` is given a large `size` input, it overflows. We have patched the issue in GitHub commit 00c821af032ba9e5f5fa3fe14690c8d28a657624. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. `tf.keras.losses.poisson` receives a `y_pred` and `y_true` that are passed through `functor::mul` in `BinaryOp`. If the resulting dimensions overflow an `int32`, TensorFlow will crash due to a size mismatch during broadcast assignment. We have patched the issue in GitHub commit c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 and 2.9.3, as these are also affected and still in supported range. However, we will not cherrypick this commit into TensorFlow 2.8.x, as it depends on Eigen behavior that changed between 2.8 and 2.9.

TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. If `tf.raw_ops.TensorListConcat` is given `element_shape=[]`, it results segmentation fault which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit fc33f3dc4c14051a83eec6535b608abe1d355fde. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. An input `encoded` that is not a valid `CompositeTensorVariant` tensor will trigger a segfault in `tf.raw_ops.CompositeTensorVariantToComponents`. We have patched the issue in GitHub commits bf594d08d377dc6a3354d9fdb494b32d45f91971 and 660ce5a89eb6766834bdc303d2ab3902aef99d3d. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. When running on GPU, `tf.image.generate_bounding_box_proposals` receives a `scores` input that must be of rank 4 but is not checked. We have patched the issue in GitHub commit cf35502463a88ca7185a99daa7031df60b3c1c98. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. When `tf.raw_ops.FusedResizeAndPadConv2D` is given a large tensor shape, it overflows. We have patched the issue in GitHub commit d66e1d568275e6a2947de97dca7a102a211e01ce. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. An input `sparse_matrix` that is not a matrix with a shape with rank 0 will trigger a `CHECK` fail in `tf.raw_ops.SparseMatrixNNZ`. We have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. When printing a tensor, we get it's data as a `const char*` array (since that's the underlying storage) and then we typecast it to the element type. However, conversions from `char` to `bool` are undefined if the `char` is not `0` or `1`, so sanitizers/fuzzers will crash. The issue has been patched in GitHub commit `1be74370327`. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.10.1, TensorFlow 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. If `FractionMaxPoolGrad` is given outsize inputs `row_pooling_sequence` and `col_pooling_sequence`, TensorFlow will crash. We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. If `SparseFillEmptyRowsGrad` is given empty inputs, TensorFlow will crash. We have patched the issue in GitHub commit af4a6a3c8b95022c351edae94560acc61253a1b8. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a `nullptr`, which is not caught. An example can be seen in `tf.compat.v1.extract_volume_patches` by passing in quantized tensors as input `ksizes`. We have patched the issue in GitHub commit e9e95553e5411834d215e6770c81a83a3d0866ce. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. If `BCast::ToShape` is given input larger than an `int32`, it will crash, despite being supposed to handle up to an `int64`. An example can be seen in `tf.experimental.numpy.outer` by passing in large input to the input `b`. We have patched the issue in GitHub commit 8310bf8dd188ff780e7fc53245058215a05bdbe5. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. Inputs `dense_features` or `example_state_data` not of rank 2 will trigger a `CHECK` fail in `SdcaOptimizer`. We have patched the issue in GitHub commit 80ff197d03db2a70c6a111f97dcdacad1b0babfa. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. If `tf.raw_ops.TensorListResize` is given a nonscalar value for input `size`, it results `CHECK` fail which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 888e34b49009a4e734c27ab0c43b0b5102682c56. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. If `MirrorPadGrad` is given outsize input `paddings`, TensorFlow will give a heap OOB error. We have patched the issue in GitHub commit 717ca98d8c3bba348ff62281fdf38dcb5ea1ec92. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. When ops that have specified input sizes receive a differing number of inputs, the executor will crash. We have patched the issue in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. When `tf.raw_ops.ImageProjectiveTransformV2` is given a large output shape, it overflows. We have patched the issue in GitHub commit 8faa6ea692985dbe6ce10e1a3168e0bd60a723ba. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. An input `token` that is not a UTF-8 bytestring will trigger a `CHECK` fail in `tf.raw_ops.PyFunc`. We have patched the issue in GitHub commit 9f03a9d3bafe902c1e6beb105b2f24172f238645. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. If `ThreadUnsafeUnigramCandidateSampler` is given input `filterbank_channel_count` greater than the allowed max size, TensorFlow will crash. We have patched the issue in GitHub commit 39ec7eaf1428e90c37787e5b3fbd68ebd3c48860. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. When the `BaseCandidateSamplerOp` function receives a value in `true_classes` larger than `range_max`, a heap oob read occurs. We have patched the issue in GitHub commit b389f5c944cadfdfe599b3f1e4026e036f30d2d4. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1.

TensorFlow is an open source platform for machine learning. When `tf.raw_ops.ResizeNearestNeighborGrad` is given a large `size` input, it overflows. We have patched the issue in GitHub commit 00c821af032ba9e5f5fa3fe14690c8d28a657624. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. `tf.keras.losses.poisson` receives a `y_pred` and `y_true` that are passed through `functor::mul` in `BinaryOp`. If the resulting dimensions overflow an `int32`, TensorFlow will crash due to a size mismatch during broadcast assignment. We have patched the issue in GitHub commit c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 and 2.9.3, as these are also affected and still in supported range. However, we will not cherrypick this commit into TensorFlow 2.8.x, as it depends on Eigen behavior that changed between 2.8 and 2.9.

TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. If `tf.raw_ops.TensorListConcat` is given `element_shape=[]`, it results segmentation fault which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit fc33f3dc4c14051a83eec6535b608abe1d355fde. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. An input `encoded` that is not a valid `CompositeTensorVariant` tensor will trigger a segfault in `tf.raw_ops.CompositeTensorVariantToComponents`. We have patched the issue in GitHub commits bf594d08d377dc6a3354d9fdb494b32d45f91971 and 660ce5a89eb6766834bdc303d2ab3902aef99d3d. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. When running on GPU, `tf.image.generate_bounding_box_proposals` receives a `scores` input that must be of rank 4 but is not checked. We have patched the issue in GitHub commit cf35502463a88ca7185a99daa7031df60b3c1c98. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

An authentication bypass in Lin-CMS v0.2.1 allows attackers to escalate privileges to Super Administrator.

A heap buffer overflow in the LIEF::MachO::BinaryParser::parse_dyldinfo_generic_bind function of LIEF v0.12.1 allows attackers to cause a Denial of Service (DoS) via a crafted MachO file.

Flarum is an open source discussion platform. Flarum's page title system allowed for page titles to be converted into HTML DOM nodes when pages were rendered. The change was made after `v1.5` and was not noticed. This allowed an attacker to inject malicious HTML markup using a discussion title input, either by creating a new discussion or renaming one. The XSS attack occurs after a visitor opens the relevant discussion page. All communities running Flarum from `v1.5.0` to `v1.6.1` are impacted. The vulnerability has been fixed and published as flarum/core `v1.6.2`. All communities running Flarum from `v1.5.0` to `v1.6.1` have to upgrade as soon as possible to v1.6.2. There are no known workarounds for this issue.

A vulnerability was found in Dalli. It has been classified as problematic. Affected is the function self.meta_set of the file lib/dalli/protocol/meta/request_formatter.rb of the component Meta Protocol Handler. The manipulation leads to injection. The exploit has been disclosed to the public and may be used. The name of the patch is 48d594dae55934476fec61789e7a7c3700e0f50d. It is recommended to apply a patch to fix this issue. VDB-214026 is the identifier assigned to this vulnerability.

A stored XSS in a kiwi Test Plan can run malicious javascript which could be chained with an HTML injection to perform a UI redressing attack (clickjacking) and an HTML injection which disables the use of the history page.

SQL injection attacks can result in unauthorized access to sensitive data, such as passwords, credit card details, or personal user information. Many high-profile data breaches in recent years have been the result of SQL injection attacks, leading to reputational damage and regulatory fines. In some cases, an attacker can obtain a persistent backdoor into an organization's systems, leading to a long-term compromise that can go unnoticed for an extended period. This affect 16.0.1 and 16.0.2 only. 16.0.0 or lower, and 16.0.3 or higher are not affected

Jenkins Naginator Plugin 1.18.1 and earlier does not escape display names of source builds in builds that were triggered via Retry action, resulting in a stored cross-site scripting (XSS) vulnerability exploitable by attackers able to edit build display names.

A vulnerability, which was classified as problematic, was found in phpservermon. This affects the function generatePasswordResetToken of the file src/psm/Service/User.php. The manipulation leads to use of predictable algorithm in random number generator. The exploit has been disclosed to the public and may be used. The name of the patch is 3daa804d5f56c55b3ae13bfac368bb84ec632193. It is recommended to apply a patch to fix this issue. The identifier VDB-213717 was assigned to this vulnerability.

Insufficient Session Expiration in GitHub repository ikus060/rdiffweb prior to 2.5.0.

A vulnerability, which was classified as problematic, was found in phpservermon. Affected is the function setUserLoggedIn of the file src/psm/Service/User.php. The manipulation leads to use of predictable algorithm in random number generator. The exploit has been disclosed to the public and may be used. The name of the patch is bb10a5f3c68527c58073258cb12446782d223bc3. It is recommended to apply a patch to fix this issue. The identifier of this vulnerability is VDB-213744.

Dolibarr Open Source ERP & CRM for Business before v14.0.1 allows attackers to escalate privileges via a crafted API.

OpenSearch is a community-driven, open source fork of Elasticsearch and Kibana. There is an issue with the implementation of fine-grained access control rules (document-level security, field-level security and field masking) where they are not correctly applied to the indices that back data streams potentially leading to incorrect access authorization. OpenSearch 1.3.7 and 2.4.0 contain a fix for this issue. Users are advised to update. There are no known workarounds for this issue.

A vulnerability, which was classified as problematic, has been found in FeehiCMS. Affected by this issue is some unknown functionality of the component Post My Comment Tab. The manipulation leads to cross-site request forgery. The attack may be launched remotely. The identifier of this vulnerability is VDB-213788.

OpenSearch is a community-driven, open source fork of Elasticsearch and Kibana. OpenSearch allows users to specify a local file when defining text analyzers to process data for text analysis. An issue in the implementation of this feature allows certain specially crafted queries to return a response containing the first line of text from arbitrary files. The list of potentially impacted files is limited to text files with read permissions allowed in the Java Security Manager policy configuration. OpenSearch version 1.3.7 and 2.4.0 contain a fix for this issue. Users are advised to upgrade. There are no known workarounds for this issue.

Jenkins Reverse Proxy Auth Plugin 1.7.3 and earlier stores the LDAP manager password unencrypted in the global config.xml file on the Jenkins controller where it can be viewed by attackers with access to the Jenkins controller file system.

An incorrect permission check in Jenkins Support Core Plugin 1206.v14049fa_b_d860 and earlier allows attackers with Support/DownloadBundle permission to download a previously created support bundle containing information limited to users with Overall/Administer permission.

Jenkins Script Security Plugin 1189.vb_a_b_7c8fd5fde and earlier stores whole-script approvals as the SHA-1 hash of the script, making it vulnerable to collision attacks.

Class org.apache.sshd.server.keyprovider.SimpleGeneratorHostKeyProvider in Apache MINA SSHD <= 2.9.1 uses Java deserialization to load a serialized java.security.PrivateKey. The class is one of several implementations that an implementor using Apache MINA SSHD can choose for loading the host keys of an SSH server.

Cross-site Scripting (XSS) - Stored in GitHub repository librenms/librenms prior to 22.10.0.

KubeVela is an open source application delivery platform. Users using the VelaUX APIServer could be affected by this vulnerability. When using Helm Chart as the component delivery method, the request address of the warehouse is not restricted, and there is a blind SSRF vulnerability. Users who're using v1.6, please update the v1.6.1. Users who're using v1.5, please update the v1.5.8. There are no known workarounds for this issue.

Deserialization of Untrusted Data in GitHub repository librenms/librenms prior to 22.10.0.

** UNSUPPORTED WHEN ASSIGNED ** In the default configuration of Apache SOAP, an RPCRouterServlet is available without authentication. This gives an attacker the possibility to invoke methods on the classpath that meet certain criteria. Depending on what classes are available on the classpath this might even lead to arbitrary remote code execution. NOTE: This vulnerability only affects products that are no longer supported by the maintainer.

HashiCorp Consul and Consul Enterprise 1.13.0 up to 1.13.3 do not filter cluster filtering's imported nodes and services for HTTP or RPC endpoints used by the UI. Fixed in 1.14.0.

HashiCorp Consul and Consul Enterprise 1.13.0 up to 1.13.3 do not filter cluster filtering's imported nodes and services for HTTP or RPC endpoints used by the UI. Fixed in 1.14.0.

XXL-Job before v2.3.1 contains a Server-Side Request Forgery (SSRF) via the component /admin/controller/JobLogController.java.

Lightning Network Daemon (lnd) is an implementation of a lightning bitcoin overlay network node. All lnd nodes before version `v0.15.4` is vulnerable to a block parsing bug that can cause a node to enter a degraded state once encountered. In this degraded state, nodes can continue to make payments and forward HTLCs, and close out channels. Opening channels is prohibited, and also on chain transaction events will be undetected. This can cause loss of funds if a CSV expiry is researched during a breach attempt or a CLTV delta expires forgetting the funds in the HTLC. A patch is available in `lnd` version 0.15.4. Users are advised to upgrade. Users unable to upgrade may use the `lncli updatechanpolicy` RPC call to increase their CLTV value to a very high amount or increase their fee policies. This will prevent nodes from routing through your node, meaning that no pending HTLCs can be present.

Vela is a Pipeline Automation (CI/CD) framework built on Linux container technology written in Golang. In Vela Server and Vela Worker prior to version 0.16.0 and Vela UI prior to version 0.17.0, some default configurations for Vela allow exploitation and container breakouts. Users should upgrade to Server 0.16.0, Worker 0.16.0, and UI 0.17.0 to fix the issue. After upgrading, Vela administrators will need to explicitly change the default settings to configure Vela as desired. Some of the fixes will interrupt existing workflows and will require Vela administrators to modify default settings. However, not applying the patch (or workarounds) will continue existing risk exposure. Some workarounds are available. Vela administrators can adjust the worker's `VELA_RUNTIME_PRIVILEGED_IMAGES` setting to be explicitly empty, leverage the `VELA_REPO_ALLOWLIST` setting on the server component to restrict access to a list of repositories that are allowed to be enabled, and/or audit enabled repositories and disable pull_requests if they are not needed.

Parse Server is an open source backend that can be deployed to any infrastructure that can run Node.js. In versions prior to 5.3.2 or 4.10.19, keywords that are specified in the Parse Server option `requestKeywordDenylist` can be injected via Cloud Code Webhooks or Triggers. This will result in the keyword being saved to the database, bypassing the `requestKeywordDenylist` option. This issue is fixed in versions 4.10.19, and 5.3.2. If upgrade is not possible, the following Workarounds may be applied: Configure your firewall to only allow trusted servers to make request to the Parse Server Cloud Code Webhooks API, or block the API completely if you are not using the feature.

Wasmtime is a standalone runtime for WebAssembly. Prior to version 2.0.2, there is a bug in Wasmtime's implementation of its pooling instance allocator where when a linear memory is reused for another instance the initial heap snapshot of the prior instance can be visible, erroneously to the next instance. This bug has been patched and users should upgrade to Wasmtime 2.0.2. Other mitigations include disabling the pooling allocator and disabling the `memory-init-cow`.

A vulnerability in UI of Apache Airflow allows an attacker to view unmasked secrets in rendered template values for tasks which were not executed (for example when they were depending on past and previous instances of the task failed). This issue affects Apache Airflow prior to 2.3.1.

Vela is a Pipeline Automation (CI/CD) framework built on Linux container technology written in Golang. In Vela Server and Vela Worker prior to version 0.16.0 and Vela UI prior to version 0.17.0, some default configurations for Vela allow exploitation and container breakouts. Users should upgrade to Server 0.16.0, Worker 0.16.0, and UI 0.17.0 to fix the issue. After upgrading, Vela administrators will need to explicitly change the default settings to configure Vela as desired. Some of the fixes will interrupt existing workflows and will require Vela administrators to modify default settings. However, not applying the patch (or workarounds) will continue existing risk exposure. Some workarounds are available. Vela administrators can adjust the worker's `VELA_RUNTIME_PRIVILEGED_IMAGES` setting to be explicitly empty, leverage the `VELA_REPO_ALLOWLIST` setting on the server component to restrict access to a list of repositories that are allowed to be enabled, and/or audit enabled repositories and disable pull_requests if they are not needed.

Wasmtime is a standalone runtime for WebAssembly. Prior to version 2.0.2, there is a bug in Wasmtime's C API implementation where the definition of the `wasmtime_trap_code` does not match its declared signature in the `wasmtime/trap.h` header file. This discrepancy causes the function implementation to perform a 4-byte write into a 1-byte buffer provided by the caller. This can lead to three zero bytes being written beyond the 1-byte location provided by the caller. This bug has been patched and users should upgrade to Wasmtime 2.0.2. This bug can be worked around by providing a 4-byte buffer casted to a 1-byte buffer when calling `wasmtime_trap_code`. Users of the `wasmtime` crate are not affected by this issue, only users of the C API function `wasmtime_trap_code` are affected.

Zenario CMS 9.3.57186 is is vulnerable to Cross Site Scripting (XSS) via profile.

Zenario CMS 9.3.57186 is vulnerable to Cross Site Scripting (XSS) via svg,Users & Contacts.

Zenario CMS 9.3.57186 is vulnerable to Cross Site Scripting (XSS) via the Nest library module.

Zenario CMS 9.3.57186 is vulnerable to Cross Site Scripting (XSS) via News articles.

Users with write permissions to a repository can delete arbitrary directories.

If anonymous read enabled, it's possible to read the database file directly without logging in.

Eclipse Californium is a Java implementation of RFC7252 - Constrained Application Protocol for IoT Cloud services. In versions prior to 3.7.0, and 2.7.4, Californium is vulnerable to a Denial of Service. Failing handshakes don't cleanup counters for throttling, causing the threshold to be reached without being released again. This results in permanently dropping records. The issue was reported for certificate based handshakes, but may also affect PSK based handshakes. It generally affects client and server as well. This issue is patched in version 3.7.0 and 2.7.4. There are no known workarounds. main: commit 726bac57659410da463dcf404b3e79a7312ac0b9 2.7.x: commit 5648a0c27c2c2667c98419254557a14bac2b1f3f

Apache Karaf Config service provides a install method (via service or MBean) that could be used to travel in any directory and overwrite existing file. The vulnerability is low if the Karaf process user has limited permission on the filesystem. Any Apache Karaf version before 4.2.5 is impacted. User should upgrade to Apache Karaf 4.2.5 or later.

odata4j 0.7.0 allows ExecuteJPQLQueryCommand.java SQL injection. NOTE: this product is apparently discontinued.

odata4j 0.7.0 allows ExecuteCountQueryCommand.java SQL injection. NOTE: this product is apparently discontinued.

Wasmtime is a standalone runtime for WebAssembly. Prior to version 2.0.2, there is a bug in Wasmtime's implementation of its pooling instance allocator when the allocator is configured to give WebAssembly instances a maximum of zero pages of memory. In this configuration, the virtual memory mapping for WebAssembly memories does not meet the compiler-required configuration requirements for safely executing WebAssembly modules. Wasmtime's default settings require virtual memory page faults to indicate that wasm reads/writes are out-of-bounds, but the pooling allocator's configuration would not create an appropriate virtual memory mapping for this meaning out-of-bounds reads/writes can successfully read/write memory unrelated to the wasm sandbox within range of the base address of the memory mapping created by the pooling allocator. This bug is not applicable with the default settings of the `wasmtime` crate. This bug can only be triggered by setting `InstanceLimits::memory_pages` to zero. This is expected to be a very rare configuration since this means that wasm modules cannot allocate any pages of linear memory. All wasm modules produced by all current toolchains are highly likely to use linear memory, so it's expected to be unlikely that this configuration is set to zero by any production embedding of Wasmtime. This bug has been patched and users should upgrade to Wasmtime 2.0.2. This bug can be worked around by increasing the `memory_pages` allotment when configuring the pooling allocator to a value greater than zero. If an embedding wishes to still prevent memory from actually being used then the `Store::limiter` method can be used to dynamically disallow growth of memory beyond 0 bytes large. Note that the default `memory_pages` value is greater than zero.

Pillow before 9.2.0 performs Improper Handling of Highly Compressed GIF Data (Data Amplification).

** UNSUPPORTED WHEN ASSIGNED ** Apache Jena SDB 3.17.0 and earlier is vulnerable to a JDBC Deserialisation attack if the attacker is able to control the JDBC URL used or cause the underlying database server to return malicious data. The mySQL JDBC driver in particular is known to be vulnerable to this class of attack. As a result an application using Apache Jena SDB can be subject to RCE when connected to a malicious database server. Apache Jena SDB has been EOL since December 2020 and users should migrate to alternative options e.g. Apache Jena TDB 2.

In Apache Airflow versions prior to 2.4.3, there was an open redirect in the webserver's `/login` endpoint.

Those using Snakeyaml to parse untrusted YAML files may be vulnerable to Denial of Service attacks (DOS). If the parser is running on user supplied input, an attacker may supply content that causes the parser to crash by stack overflow. This effect may support a denial of service attack.

WsgiDAV is a generic and extendable WebDAV server based on WSGI. Implementations using this library with directory browsing enabled may be susceptible to Cross Site Scripting (XSS) attacks. This issue has been patched, users can upgrade to version 4.1.0. As a workaround, set `dir_browser.enable = False` in the configuration.

Wasmtime is a standalone runtime for WebAssembly. Prior to version 2.0.2, there is a bug in Wasmtime's implementation of its pooling instance allocator when the allocator is configured to give WebAssembly instances a maximum of zero pages of memory. In this configuration, the virtual memory mapping for WebAssembly memories does not meet the compiler-required configuration requirements for safely executing WebAssembly modules. Wasmtime's default settings require virtual memory page faults to indicate that wasm reads/writes are out-of-bounds, but the pooling allocator's configuration would not create an appropriate virtual memory mapping for this meaning out-of-bounds reads/writes can successfully read/write memory unrelated to the wasm sandbox within range of the base address of the memory mapping created by the pooling allocator. This bug is not applicable with the default settings of the `wasmtime` crate. This bug can only be triggered by setting `InstanceLimits::memory_pages` to zero. This is expected to be a very rare configuration since this means that wasm modules cannot allocate any pages of linear memory. All wasm modules produced by all current toolchains are highly likely to use linear memory, so it's expected to be unlikely that this configuration is set to zero by any production embedding of Wasmtime. This bug has been patched and users should upgrade to Wasmtime 2.0.2. This bug can be worked around by increasing the `memory_pages` allotment when configuring the pooling allocator to a value greater than zero. If an embedding wishes to still prevent memory from actually being used then the `Store::limiter` method can be used to dynamically disallow growth of memory beyond 0 bytes large. Note that the default `memory_pages` value is greater than zero.

Concrete CMS is vulnerable to CSRF due to the lack of "State" parameter for external Concrete authentication service for users of Concrete who use the "out of the box" core OAuth.

Wasmtime is a standalone runtime for WebAssembly. Prior to version 2.0.2, there is a bug in Wasmtime's C API implementation where the definition of the `wasmtime_trap_code` does not match its declared signature in the `wasmtime/trap.h` header file. This discrepancy causes the function implementation to perform a 4-byte write into a 1-byte buffer provided by the caller. This can lead to three zero bytes being written beyond the 1-byte location provided by the caller. This bug has been patched and users should upgrade to Wasmtime 2.0.2. This bug can be worked around by providing a 4-byte buffer casted to a 1-byte buffer when calling `wasmtime_trap_code`. Users of the `wasmtime` crate are not affected by this issue, only users of the C API function `wasmtime_trap_code` are affected.

A vulnerability, which was classified as problematic, has been found in NukeViet CMS. Affected by this issue is the function filterAttr of the file `vendor/vinades/nukeviet/Core/Request.php` of the component Data URL Handler. The manipulation of the argument attrSubSet leads to cross site scripting. The attack may be launched remotely. Upgrading to version 4.5 is able to address this issue. The name of the patch is 0b3197fad950bb3383e83039a8ee4c9509b3ce02. It is recommended to upgrade the affected component. VDB-213554 is the identifier assigned to this vulnerability.

Wasmtime is a standalone runtime for WebAssembly. Prior to version 2.0.2, there is a bug in Wasmtime's implementation of its pooling instance allocator where when a linear memory is reused for another instance the initial heap snapshot of the prior instance can be visible, erroneously to the next instance. This bug has been patched and users should upgrade to Wasmtime 2.0.2. Other mitigations include disabling the pooling allocator and disabling the `memory-init-cow`.

Apache Camel prior to 2.24.0 contains an XML external entity injection (XXE) vulnerability (CWE-611) due to using an outdated vulnerable JSON-lib library. This affects only the camel-xmljson component, which was removed.

Parse Server is an open source backend that can be deployed to any infrastructure that can run Node.js. In versions prior to 5.3.3 or 4.10.20, a compromised Parse Server Cloud Code Webhook target endpoint allows an attacker to use prototype pollution to bypass the Parse Server `requestKeywordDenylist` option. This issue has been patched in versions 5.3.3 and 4.10.20. There are no known workarounds.

Wasmtime is a standalone runtime for WebAssembly. Prior to version 2.0.2, there is a bug in Wasmtime's implementation of its pooling instance allocator where when a linear memory is reused for another instance the initial heap snapshot of the prior instance can be visible, erroneously to the next instance. This bug has been patched and users should upgrade to Wasmtime 2.0.2. Other mitigations include disabling the pooling allocator and disabling the `memory-init-cow`.

A vulnerability was found in matrix-appservice-irc up to 0.35.1. It has been declared as critical. This vulnerability affects unknown code of the file src/datastore/postgres/PgDataStore.ts. The manipulation of the argument roomIds leads to sql injection. Upgrading to version 0.36.0 is able to address this issue. The name of the patch is 179313a37f06b298150edba3e2b0e5a73c1415e7. It is recommended to upgrade the affected component. VDB-213550 is the identifier assigned to this vulnerability.

A vulnerability, which was classified as problematic, was found in NodeBB up to 2.5.7. This affects an unknown part of the file /register/abort. The manipulation leads to cross-site request forgery. It is possible to initiate the attack remotely. Upgrading to version 2.5.8 is able to address this issue. The name of the patch is 2f9d8c350e54543f608d3d4c8e1a49bbb6cdea38. It is recommended to upgrade the affected component. The associated identifier of this vulnerability is VDB-213555.

A vulnerability was found in LibTIFF. It has been classified as critical. This affects the function TIFFReadRGBATileExt of the file libtiff/tif_getimage.c. The manipulation leads to integer overflow. It is possible to initiate the attack remotely. The exploit has been disclosed to the public and may be used. The name of the patch is 227500897dfb07fb7d27f7aa570050e62617e3be. It is recommended to apply a patch to fix this issue. The identifier VDB-213549 was assigned to this vulnerability.

Wasmtime is a standalone runtime for WebAssembly. Prior to version 2.0.2, there is a bug in Wasmtime's implementation of its pooling instance allocator where when a linear memory is reused for another instance the initial heap snapshot of the prior instance can be visible, erroneously to the next instance. This bug has been patched and users should upgrade to Wasmtime 2.0.2. Other mitigations include disabling the pooling allocator and disabling the `memory-init-cow`.

A vulnerability in Example Dags of Apache Airflow allows an attacker with UI access who can trigger DAGs, to execute arbitrary commands via manually provided run_id parameter.

Wasmtime is a standalone runtime for WebAssembly. Prior to version 2.0.2, there is a bug in Wasmtime's C API implementation where the definition of the `wasmtime_trap_code` does not match its declared signature in the `wasmtime/trap.h` header file. This discrepancy causes the function implementation to perform a 4-byte write into a 1-byte buffer provided by the caller. This can lead to three zero bytes being written beyond the 1-byte location provided by the caller. This bug has been patched and users should upgrade to Wasmtime 2.0.2. This bug can be worked around by providing a 4-byte buffer casted to a 1-byte buffer when calling `wasmtime_trap_code`. Users of the `wasmtime` crate are not affected by this issue, only users of the C API function `wasmtime_trap_code` are affected.

Wasmtime is a standalone runtime for WebAssembly. Prior to version 2.0.2, there is a bug in Wasmtime's implementation of its pooling instance allocator when the allocator is configured to give WebAssembly instances a maximum of zero pages of memory. In this configuration, the virtual memory mapping for WebAssembly memories does not meet the compiler-required configuration requirements for safely executing WebAssembly modules. Wasmtime's default settings require virtual memory page faults to indicate that wasm reads/writes are out-of-bounds, but the pooling allocator's configuration would not create an appropriate virtual memory mapping for this meaning out-of-bounds reads/writes can successfully read/write memory unrelated to the wasm sandbox within range of the base address of the memory mapping created by the pooling allocator. This bug is not applicable with the default settings of the `wasmtime` crate. This bug can only be triggered by setting `InstanceLimits::memory_pages` to zero. This is expected to be a very rare configuration since this means that wasm modules cannot allocate any pages of linear memory. All wasm modules produced by all current toolchains are highly likely to use linear memory, so it's expected to be unlikely that this configuration is set to zero by any production embedding of Wasmtime. This bug has been patched and users should upgrade to Wasmtime 2.0.2. This bug can be worked around by increasing the `memory_pages` allotment when configuring the pooling allocator to a value greater than zero. If an embedding wishes to still prevent memory from actually being used then the `Store::limiter` method can be used to dynamically disallow growth of memory beyond 0 bytes large. Note that the default `memory_pages` value is greater than zero.

Wasmtime is a standalone runtime for WebAssembly. Prior to version 2.0.2, there is a bug in Wasmtime's implementation of its pooling instance allocator when the allocator is configured to give WebAssembly instances a maximum of zero pages of memory. In this configuration, the virtual memory mapping for WebAssembly memories does not meet the compiler-required configuration requirements for safely executing WebAssembly modules. Wasmtime's default settings require virtual memory page faults to indicate that wasm reads/writes are out-of-bounds, but the pooling allocator's configuration would not create an appropriate virtual memory mapping for this meaning out-of-bounds reads/writes can successfully read/write memory unrelated to the wasm sandbox within range of the base address of the memory mapping created by the pooling allocator. This bug is not applicable with the default settings of the `wasmtime` crate. This bug can only be triggered by setting `InstanceLimits::memory_pages` to zero. This is expected to be a very rare configuration since this means that wasm modules cannot allocate any pages of linear memory. All wasm modules produced by all current toolchains are highly likely to use linear memory, so it's expected to be unlikely that this configuration is set to zero by any production embedding of Wasmtime. This bug has been patched and users should upgrade to Wasmtime 2.0.2. This bug can be worked around by increasing the `memory_pages` allotment when configuring the pooling allocator to a value greater than zero. If an embedding wishes to still prevent memory from actually being used then the `Store::limiter` method can be used to dynamically disallow growth of memory beyond 0 bytes large. Note that the default `memory_pages` value is greater than zero.

A vulnerability has been found in ManyDesigns Portofino 5.3.2 and classified as problematic. Affected by this vulnerability is the function createTempDir of the file WarFileLauncher.java. The manipulation leads to creation of temporary file in directory with insecure permissions. Upgrading to version 5.3.3 is able to address this issue. The name of the patch is 94653cb357806c9cf24d8d294e6afea33f8f0775. It is recommended to upgrade the affected component. The identifier VDB-213457 was assigned to this vulnerability.

Istio is an open platform to connect, manage, and secure microservices. In versions on the 1.15.x branch prior to 1.15.3, a user can impersonate any workload identity within the service mesh if they have localhost access to the Istiod control plane. Version 1.15.3 contains a patch for this issue. There are no known workarounds.

Unmarshal can panic on some inputs, possibly allowing for denial of service attacks.

Unmarshal can panic on some inputs, possibly allowing for denial of service attacks.

Wasmtime is a standalone runtime for WebAssembly. Prior to version 2.0.2, there is a bug in Wasmtime's C API implementation where the definition of the `wasmtime_trap_code` does not match its declared signature in the `wasmtime/trap.h` header file. This discrepancy causes the function implementation to perform a 4-byte write into a 1-byte buffer provided by the caller. This can lead to three zero bytes being written beyond the 1-byte location provided by the caller. This bug has been patched and users should upgrade to Wasmtime 2.0.2. This bug can be worked around by providing a 4-byte buffer casted to a 1-byte buffer when calling `wasmtime_trap_code`. Users of the `wasmtime` crate are not affected by this issue, only users of the C API function `wasmtime_trap_code` are affected.

Pivotal Spring Framework through 5.3.16 suffers from a potential remote code execution (RCE) issue if used for Java deserialization of untrusted data. Depending on how the library is implemented within a product, this issue may or not occur, and authentication may be required. NOTE: the vendor's position is that untrusted data is not an intended use case. The product's behavior will not be changed because some users rely on deserialization of trusted data.

Pillow before 9.3.0 allows denial of service via SAMPLESPERPIXEL. A large value in the SAMPLESPERPIXEL tag could lead to a memory and runtime DoS in `TiffImagePlugin.py` when setting up the context for image decoding.