Kostya Kortchinsky

#964of 53,632
215.4Total CVSS
Vulnerabilities · 29
Medium
11
High
15
Critical
3
PT-2024-6649
9.2
2024-10-03
Apache · Apache Avro · CVE-2024-47561
Name of the Vulnerable Software and Affected Versions: Apache Avro versions 1.11.3 and previous versions Apache Avro versions prior to 1.11.4 Bamboo Data Center and Server versions 9.2.1, 9.6.0, and 10.0.0-rc3 Bitbucket Data Center and Server versions 8.6.0, 8.7.0, 8.8.0, 8.9.0, 8.10.0, 8.11.0, 8.12.0, 8.13.0, 8.14.0, 8.15.0, 8.16.0, 8.17.0, 8.18.0, 8.19.0, 9.0.0, 9.1.0, and 9.2.0 Confluence Data Center and Server version 6.5 Description: The vulnerability in the Apache Avro Java SDK is related to schema parsing, which allows bad actors to execute arbitrary code. This issue affects versions prior to 1.11.4 and can be exploited by unauthenticated attackers, potentially exposing assets in the environment to exploitation. The vulnerability has a low impact on confidentiality, integrity, and availability, and requires no user interaction. It is recommended to upgrade to version 1.11.4 or 1.12.0, which fix this issue. Recommendations: For Apache Avro versions 1.11.3 and previous versions, upgrade to version 1.11.4 or 1.12.0. For Bamboo Data Center and Server versions 9.2.1, 9.6.0, and 10.0.0-rc3, upgrade to a release greater than or equal to 9.2.20, 9.6.8, or 10.0.3, respectively. For Bitbucket Data Center and Server versions 8.6.0, 8.7.0, 8.8.0, 8.9.0, 8.10.0, 8.11.0, 8.12.0, 8.13.0, 8.14.0, 8.15.0, 8.16.0, 8.17.0, 8.18.0, 8.19.0, 9.0.0, 9.1.0, and 9.2.0, upgrade to a release greater than or equal to 8.9.21 or 8.19.11, respectively. For Confluence Data Center and Server version 6.5, upgrade to a release greater than or equal to 7.19.30, 8.5.18, or 9.1.1, respectively. As a temporary workaround, consider disabling schema parsing in the Java SDK until a patch is available.
PT-2022-3726
8.8
2022-07-18
Apache · Apache Spark · CVE-2022-33891
**Name of the Vulnerable Software and Affected Versions** Apache Spark versions 3.0.3 and earlier Apache Spark versions 3.1.1 to 3.1.2 Apache Spark versions 3.2.0 to 3.2.1 **Description** The Apache Spark UI offers the possibility to enable ACLs via the configuration option `spark.acls.enable`. With an authentication filter, this checks whether a user has access permissions to view or modify the application. If ACLs are enabled, a code path in HttpSecurityFilter can allow someone to perform impersonation by providing an arbitrary user name. A malicious user might then be able to reach a permission check function that will ultimately build a Unix shell command based on their input, and execute it. This will result in arbitrary shell command execution as the user Spark is currently running as. **Recommendations** For Apache Spark versions 3.0.3 and earlier, upgrade to a supported version of Apache Spark, such as version 3.4.0. For Apache Spark versions 3.1.1 to 3.1.2, upgrade to a supported version of Apache Spark, such as version 3.4.0. For Apache Spark versions 3.2.0 to 3.2.1, upgrade to a supported version of Apache Spark, such as version 3.4.0. As a temporary workaround, consider disabling the `spark.acls.enable` option until a patch is available. Restrict access to the HttpSecurityFilter to minimize the risk of exploitation. Avoid using arbitrary user names in the authentication filter until the issue is resolved.