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.
In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.
Test your applicationsLearn about Deserialization of Untrusted Data vulnerabilities in an interactive lesson.
Start learningUpgrade RHEL:7
log4j-javadoc
to version 0:1.2.17-17.el7_3 or higher.
This issue was patched in RHSA-2022:0442
.
Note: Versions mentioned in the description apply only to the upstream log4j-javadoc
package and not the log4j-javadoc
package as distributed by RHEL
.
See How to fix?
for RHEL:7
relevant fixed versions and status.
JMSSink in all versions of Log4j 1.x is vulnerable to deserialization of untrusted data when the attacker has write access to the Log4j configuration or if the configuration references an LDAP service the attacker has access to. The attacker can provide a TopicConnectionFactoryBindingName configuration causing JMSSink to perform JNDI requests that result in remote code execution in a similar fashion to CVE-2021-4104. Note this issue only affects Log4j 1.x when specifically configured to use JMSSink, which is not the default. Apache Log4j 1.2 reached end of life in August 2015. Users should upgrade to Log4j 2 as it addresses numerous other issues from the previous versions.