CVE-2004-2779
7.5 · HIGHid3_utf16_deserialize() in utf16.c in libid3tag through 0.15.1b misparses ID3v2 tags encoded in UTF-16 with an odd number of bytes, triggering an endless loop allocating memory until an OOM conditi…
Overview
CVE-2004-2779 is a high-severity vulnerability. It was published on February 20, 2018 and has a CVSS 3.0 base score of 7.5 (HIGH).
This vulnerability has a CVSS 3.0 base score of 7.5, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
Technical description
id3_utf16_deserialize() in utf16.c in libid3tag through 0.15.1b misparses ID3v2 tags encoded in UTF-16 with an odd number of bytes, triggering an endless loop allocating memory until an OOM condition is reached, leading to denial-of-service (DoS).
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.
References
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Frequently asked questions
What is CVE-2004-2779?
CVE-2004-2779 is a high-severity vulnerability. It was published on February 20, 2018 and has a CVSS 3.0 base score of 7.5 (HIGH).
How severe is CVE-2004-2779?
This vulnerability has a CVSS 3.0 base score of 7.5, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2004-2779?
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-2004-2779?
CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2004-2779 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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