CVE-2020-13428 (GCVE-0-2020-13428)
Vulnerability from cvelistv5 – Published: 2020-06-08 18:13 – Updated: 2024-08-04 12:18
VLAI
EPSS
VEX
Summary
A heap-based buffer overflow in the hxxx_AnnexB_to_xVC function in modules/packetizer/hxxx_nal.c in VideoLAN VLC media player before 3.0.11 for macOS/iOS allows remote attackers to cause a denial of service (application crash) or execute arbitrary code via a crafted H.264 Annex-B video (.avi for example) file.
Severity
7.8 (High)
CWE
- n/a
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/videolan/vlc/commits/master/mo… | x_refsource_MISC |
| http://git.videolan.org/?p=vlc/vlc-3.0.git%3Ba=co… | x_refsource_MISC |
| https://github.com/videolan/vlc-3.0/releases/tag/3.0.11 | x_refsource_CONFIRM |
| https://www.debian.org/security/2020/dsa-4704 | vendor-advisoryx_refsource_DEBIAN |
| https://www.videolan.org/security/sb-vlc3011.html | x_refsource_CONFIRM |
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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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