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CVE-2022-1117

8.4 · HIGH

A vulnerability was found in fapolicyd.

Published Aug 29, 2022CWE-552EPSS 0.33%

Overview

CVE-2022-1117 is a high-severity vulnerability. It was published on August 29, 2022 and has a CVSS 3.1 base score of 8.4 (HIGH).

This vulnerability has a CVSS 3.1 base score of 8.4, rated HIGH. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.

Technical description

A vulnerability was found in fapolicyd. The vulnerability occurs due to an assumption on how glibc names the runtime linker, a build time regular expression may not correctly detect the runtime linker. The consequence is that the pattern detection for applications launched by the run time linker may fail to detect the pattern and allow execution.

Remediation

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

Frequently asked questions

What is CVE-2022-1117?

CVE-2022-1117 is a high-severity vulnerability. It was published on August 29, 2022 and has a CVSS 3.1 base score of 8.4 (HIGH).

How severe is CVE-2022-1117?

This vulnerability has a CVSS 3.1 base score of 8.4, rated HIGH. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2022-1117?

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2022-1117?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2022-1117 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.

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