#apache

Red Hat AMQ Streams 2.0.1 is now available from the Red Hat Customer Portal. Red Hat Product Security has rated this update as having a security impact of Important. A Common Vulnerability Scoring System (CVSS) base score, which gives a detailed severity rating, is available for each vulnerability from the CVE link(s) in the References section.This content is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). If you distribute this content, or a modified version of it, you must provide attribution to Red Hat Inc. and provide a link to the original. Related CVEs: * CVE-2021-4178: kubernetes-client: Insecure deserialization in unmarshalYaml method * CVE-2022-23302: log4j: Remote code execution in Log4j 1.x when application is configured to use JMSSink * CVE-2022-23305: log4j: SQL injection in Log4j 1.x when application is configured to use JDBCAppender * CVE-2022-23307: log4j: Unsafe deserialization flaw in Chainsaw ...

Red Hat AMQ Streams 1.6.7 is now available from the Red Hat Customer Portal. Red Hat Product Security has rated this update as having a security impact of Important. A Common Vulnerability Scoring System (CVSS) base score, which gives a detailed severity rating, is available for each vulnerability from the CVE link(s) in the References section.This content is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). If you distribute this content, or a modified version of it, you must provide attribution to Red Hat Inc. and provide a link to the original. Related CVEs: * CVE-2021-4178: kubernetes-client: Insecure deserialization in unmarshalYaml method * CVE-2021-44832: log4j-core: remote code execution via JDBC Appender * CVE-2022-23302: log4j: Remote code execution in Log4j 1.x when application is configured to use JMSSink * CVE-2022-23305: log4j: SQL injection in Log4j 1.x when application is configured to use JDBCAppe...

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).

In Apache Traffic Control Traffic Ops prior to 6.1.0 or 5.1.6, an unprivileged user who can reach Traffic Ops over HTTPS can send a specially-crafted POST request to /user/login/oauth to scan a port of a server that Traffic Ops can reach.

In Apache ActiveMQ Artemis prior to 2.20.0 or 2.19.1, an attacker could partially disrupt availability (DoS) through uncontrolled resource consumption of memory.

In Apache Gobblin, the Hadoop token is written to a temp file that is visible to all local users on Unix-like systems. This affects versions <= 0.15.0. Users should update to version 0.16.0 which addresses this issue.

Apache Gobblin trusts all certificates used for LDAP connections in Gobblin-as-a-Service. This affects versions <= 0.15.0. Users should update to version 0.16.0 which addresses this issue.

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.

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.

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.