CVE-2026-90577 (GCVE-0-2026-90577)

Vulnerability from cvelistv5 – Published: 2026-09-13 18:30 – Updated: 2026-09-15 13:59 X_Open Source
VLAI
Title
GPAC MP4Box base_scenegraph.c gf_node_get_field heap-based overflow
Summary
A vulnerability was detected in GPAC up to f1219cde. Affected by this vulnerability is the function gf_node_get_field of the file scenegraph/base_scenegraph.c of the component MP4Box. Performing a manipulation results in heap-based buffer overflow. The attack is only possible with local access. The exploit is now public and may be used. Upgrading to version abi-16.23 addresses this issue. The patch is named 49dee5cad329cfed310c1682703df7daa47df31a. The affected component should be upgraded.
SSVC
Exploitation: poc Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-15 13:42 UTC
CWE
Impacted products
Vendor Product Version CPE status
n/a GPAC Affected: f1219cde
Unaffected: abi-16.23
    cpe:2.3:a:gpac:gpac:*:*:*:*:*:*:*:*
Show details on NVD website

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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • 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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