CVE-2014-125004 (GCVE-0-2014-125004)
Vulnerability from cvelistv5 – Published: 2022-06-18 06:15 – Updated: 2025-04-15 14:23
VLAI
EPSS
VEX
Title
FFmpeg vmnc.c decode_hextile memory corruption
Summary
A vulnerability has been found in FFmpeg 2.0 and classified as problematic. This vulnerability affects the function decode_hextile of the file libavcodec/vmnc.c. The manipulation leads to memory corruption. The attack can be initiated remotely. It is recommended to apply a patch to fix this issue.
Severity
5.3 (Medium)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-14 16:58 UTC
CWE
- CWE-119 - Memory Corruption
Assigner
References
2 references
| URL | Tags |
|---|---|
| http://git.videolan.org/?p=ffmpeg.git%3Ba=commit%… | x_refsource_MISC |
| https://vuldb.com/?id.12586 | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| unspecified | FFmpeg |
Affected:
2.0
|
guessed |
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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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Related by attack behaviour
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