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CVE-2022-39836

5.5 · MEDIUM

An issue was discovered in Connected Vehicle Systems Alliance (COVESA) dlt-daemon through 2.18.8.

Published Oct 25, 2022CWE-125EPSS 0.45%

Overview

CVE-2022-39836 is a medium-severity vulnerability. It was published on October 25, 2022 and has a CVSS 3.1 base score of 5.5 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 5.5, rated MEDIUM. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.

Technical description

An issue was discovered in Connected Vehicle Systems Alliance (COVESA) dlt-daemon through 2.18.8. Due to a faulty DLT file parser, a crafted DLT file that crashes the process can be created. This is due to missing validation checks. There is a heap-based buffer over-read of one byte.

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-2022-39836?

CVE-2022-39836 is a medium-severity vulnerability. It was published on October 25, 2022 and has a CVSS 3.1 base score of 5.5 (MEDIUM).

How severe is CVE-2022-39836?

This vulnerability has a CVSS 3.1 base score of 5.5, rated MEDIUM. 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-2022-39836?

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-2022-39836?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2022-39836 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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