CVE-2026-2920 GStreamer CVE debrief

Who should care

Organizations using GStreamer in their applications, especially those processing ASF files, should prioritize patching this vulnerability. Successful exploitation could lead to remote code execution, potentially allowing attackers to gain control over affected systems. Given the high CVSS score of 7.8, this vulnerability should be addressed promptly.

Technical summary

The vulnerability exists in the ASF demuxer component of GStreamer. When processing ASF files, the demuxer fails to properly validate the length of user-supplied data before copying it to a fixed-length heap-based buffer. This can lead to a heap-based buffer overflow. An attacker can craft malicious ASF files that, when processed by the vulnerable GStreamer application, can execute arbitrary code in the context of the current process. The vulnerability's CVSS vector is CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H, indicating a high severity level.

Defensive priority

High. Immediate patching is recommended to prevent potential remote code execution attacks.

Recommended defensive actions

• Apply the official patch provided by GStreamer to address the vulnerability in the ASF demuxer.
• Limit exposure by restricting the processing of ASF files to trusted sources only.
• Implement additional monitoring to detect potential exploitation attempts.
• Review and update vulnerability management processes to ensure timely application of security patches.
• Consider compensating controls such as input validation and data sanitization for ASF file processing.

Evidence notes

The CVE-2026-2920 vulnerability was publicly disclosed on March 16, 2026, and last modified on June 30, 2026. The vulnerability has a CVSS score of 7.8 and is classified as CWE-122 (Heap-based Buffer Overflow) and CWE-120 (Buffer Overflow). Multiple Red Hat advisories (RHSA-2026:19024, RHSA-2026:19180, etc.) reference this CVE, indicating affected products and providing additional context.

Sources and references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.