PatchSiren cyber security CVE debrief
CVE-2026-18295 GStreamer CVE debrief
AI-assisted PatchSiren debrief based on the supplied source corpus. The CVE record was published on 2026-08-20T17:17:26.260Z and has not been modified since then. This vulnerability, identified as CVE-2026-18295, affects GStreamer installations and allows remote attackers to execute arbitrary code through the parsing of MRF files. User interaction is required to exploit this vulnerability. The issue arises from the lack of proper validation of user-supplied data, which can result in a write past the end of an allocated buffer. This flaw can be leveraged to execute code in the context of the current process. Users of GStreamer installations, particularly those exposed to untrusted input, should be aware of this vulnerability and take steps to mitigate it. Operators of affected systems should prioritize patching and review compensating controls. Security teams should monitor for suspicious activity and verify affected installations. Evidence is limited to public sources and vendor advisories. Defenders should verify affected GStreamer installations, review MRF file handling, and monitor for suspicious activity.
- Vendor
- GStreamer
- Product
- Unknown
- CVSS
- HIGH 7.8
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-08-20
- Original CVE updated
- 2026-09-02
- Advisory published
- 2026-08-20
- Advisory updated
- 2026-09-02
Who should care
Users of GStreamer installations, particularly those exposed to untrusted input, should be aware of this vulnerability and take steps to mitigate it. Operators of affected systems should prioritize patching and review compensating controls. Security teams should monitor for suspicious activity and verify affected installations.
Technical summary
The vulnerability exists within the parsing of MRF files in GStreamer, allowing remote attackers to execute arbitrary code. User interaction is required to exploit this vulnerability. The issue results from the lack of proper validation of user-supplied data, which can result in a write past the end of an allocated buffer. This flaw can be leveraged to execute code in the context of the current process.
Defensive priority
GStreamer users should prioritize patching this vulnerability to prevent potential code execution.
Recommended defensive actions
- Apply patches from the vendor advisory
- Restrict access to MRF file parsing functionality
- Monitor for suspicious activity related to GStreamer
- Review compensating controls for exposed systems
- Check relevant monitoring, detection, and logs for exposed assets
- Track exceptions, retest remediated assets
- Review the supplied official advisory or CVE record
Evidence notes
The vulnerability exists within the parsing of MRF files in GStreamer, allowing remote attackers to execute arbitrary code. User interaction is required to exploit this vulnerability. The issue results from the lack of proper validation of user-supplied data, which can result in a write past the end of an allocated buffer. Evidence is limited to public sources and vendor advisories. Defenders should verify affected GStreamer installations, review MRF file handling, and monitor for suspicious activity.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-18295 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-18295
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-18295 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-18295
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
Source reference
Unverified legacy reference
URL: https://gstreamer.freedesktop.org/security/sa-2026-0050.html
[email protected] - Patch, Vendor Advisory
-
Source reference
Unverified legacy reference
URL: https://www.zerodayinitiative.com/advisories/ZDI-26-463/
[email protected] - Third Party Advisory
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.