Resource Exhaustion The advisory has been revoked - it doesn't affect any version of package log4j-slf4j (opens in a new tab)
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-RHEL9-LOG4JSLF4J-5313082
- published30 Mar 2023
- disclosed15 Mar 2023
Introduced: 15 Mar 2023
CVE-2023-26464 (opens in a new tab)Amendment
The Red Hat security team deemed this advisory irrelevant for RHEL:9.
NVD Description
Note: Versions mentioned in the description apply only to the upstream log4j-slf4j package and not the log4j-slf4j package as distributed by RHEL.
** UNSUPPORTED WHEN ASSIGNED **
When using the Chainsaw or SocketAppender components with Log4j 1.x on JRE less than 1.7, an attacker that manages to cause a logging entry involving a specially-crafted (ie, deeply nested) hashmap or hashtable (depending on which logging component is in use) to be processed could exhaust the available memory in the virtual machine and achieve Denial of Service when the object is deserialized.
This issue affects Apache Log4j before 2. Affected users are recommended to update to Log4j 2.x.
NOTE: This vulnerability only affects products that are no longer supported by the maintainer.