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CVE-2018-20001

6.5 · MEDIUM

In Libav 12.3, there is a floating point exception in the range_decode_culshift function (called from range_decode_bits) in libavcodec/apedec.c that will lead to remote denial of service via crafte…

Published Dec 10, 2018CWE-20EPSS 1.01%

Overview

CVE-2018-20001 is a medium-severity vulnerability. It was published on December 10, 2018 and has a CVSS 3.0 base score of 6.5 (MEDIUM).

This vulnerability has a CVSS 3.0 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical description

In Libav 12.3, there is a floating point exception in the range_decode_culshift function (called from range_decode_bits) in libavcodec/apedec.c that will lead to remote denial of service via crafted input.

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-2018-20001?

CVE-2018-20001 is a medium-severity vulnerability. It was published on December 10, 2018 and has a CVSS 3.0 base score of 6.5 (MEDIUM).

How severe is CVE-2018-20001?

This vulnerability has a CVSS 3.0 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2018-20001?

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-2018-20001?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2018-20001 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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