CVE-2026-82820 (GCVE-0-2026-82820)

Vulnerability from cvelistv5 – Published: 2026-08-31 18:30 – Updated: 2026-09-01 18:10 X_Open Source
VLAI
Title
FLVMeta AMF String Processing amf.c amf_string_new heap-based overflow
Summary
A vulnerability was found in FLVMeta up to 1.2.2. Affected is the function amf_string_new of the file src/amf.c of the component AMF String Processing. The manipulation of the argument length results in heap-based buffer overflow. The attack can be launched remotely. The exploit has been made public and could be used. The patch is identified as f412a33b9a84c2d1a9dee145a868feddbf64879e. A patch should be applied to remediate this issue. The project maintainer doubts the security impact: "While I acknowledged the bugs and provided fixes, I have yet to see any way to exploit these alleged vulnerabilities."
SSVC
Exploitation: poc Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-01 17:23 UTC
CWE
Impacted products
Vendor Product Version CPE status
n/a FLVMeta Affected: 1.2.0
Affected: 1.2.1
Affected: 1.2.2
    cpe:2.3:a:flvmeta:flvmeta:*:*:*:*:*:*:*:*
Show details on NVD website

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  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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