CVE-2025-59730 (GCVE-0-2025-59730)
Vulnerability from cvelistv5 – Published: 2025-10-06 08:09 – Updated: 2025-10-06 16:23
VLAI
EPSS
VEX
Title
Heap-buffer-overflow write in FFmpeg SANM decoding due to lack of bounds-checking in old_codec48
Summary
When decoding a frame for a SANM file (ANIM v0 variant), the decoded data can be larger than the buffer allocated for it.
Frames encoded with codec 48 can specify their resolution (width x height). A buffer of appropriate size is allocated depending on the resolution.
This codec can encode the frame contents using a run-length encoding algorithm. There are no checks that the decoded frame fits in the allocated buffer, leading to a heap-buffer-overflow.
process_frame_obj initializes the buffers based on the frame resolution:
We recommend upgrading to version 8.0 or beyond.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-10-06 16:22 UTC
CWE
- CWE-787 - Out-of-bounds Write
Assigner
References
1 reference
Impacted products
Date Public
2025-07-27 22:00
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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