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CVE-2026-86476 Red Hat CVE debrief

A heap buffer overflow vulnerability exists in gst-plugins-base, which can be triggered by processing video buffers with crafted GstVideoMeta metadata. This flaw allows a local attacker to deliver a crafted buffer, potentially causing a denial of service or code execution within the affected process. The vulnerability is particularly concerning for systems using GStreamer for video processing, such as those found in Red Hat Enterprise Linux 10, 6, 7, 8, and 9. Defenders should assess exposure and prioritize verification and patching of affected gstreamer1-plugins-base packages. The CVE record and source item provide details on the vulnerability, including its description, CVSS 8.4,

Vendor
Red Hat
Product
Red Hat Enterprise Linux 10
CVSS
HIGH 8.4
CISA KEV
Not listed in stored evidence
Original CVE published
2026-10-14
Original CVE updated
2026-10-14
Advisory published
2026-10-14
Advisory updated
2026-10-14

Who should care

Defenders responsible for systems using GStreamer for video processing, especially those using Red Hat Enterprise Linux 10, 6, 7, 8, and 9, should assess exposure and prioritize verification and patching of affected gstreamer1-plugins-base packages.

Why it matters

CVE-2026-86476 is a heap buffer overflow vulnerability in gst-plugins-base that can be triggered by crafted video buffers, potentially causing denial of service or code execution. Defenders should prioritize verification and patching, especially in systems using GStreamer for video processing.

  • Potential denial of service due to heap buffer overflow
  • Potential code execution within the affected process
  • Requires verification of affected versions and remediation steps
  • Prioritization of patching and updating gstreamer1-plugins-base packages

Technical summary

The vulnerability exists in gst-plugins-base, specifically in the gst_video_frame_map_id and video_meta_deserialize functions. A heap buffer overflow can occur when processing video buffers with crafted GstVideoMeta metadata, allowing a local attacker to potentially cause a denial of service or code execution. The flaw is caused by a lack of range checking during deserialization of the metadata and inadequate verification of the declared plane geometry. This issue affects various systems using GStreamer for video processing, including Red Hat Enterprise Linux 10, 6, 7, 8, and 9. Defenders should prioritize verifying and updating affected gstreamer1-plugins-base packages to prevent potential exploitation.

Defensive priority

Defenders should prioritize verifying and updating affected gstreamer1-plugins-base packages, especially in systems using GStreamer for video processing, to prevent potential exploitation.

Recommended defensive actions

  • Verify and update affected gstreamer1-plugins-base packages
  • Review and apply patches from vendors like Red Hat
  • Monitor systems using GStreamer for video processing
  • Implement input validation and sanitization for video buffers
  • Conduct a thorough review of system configurations and dependencies
  • Ensure proper memory management and bounds checking are in place
  • Engage with the GStreamer community for additional guidance and support

Evidence notes

The CVE record and source item provide details on the vulnerability, including its description, CVSS score, and affected products. However, specific versions of affected products and remediation steps require verification from official sources.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-86476 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-86476

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-86476 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-86476

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental 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.