FKIE_CVE-2023-46407
Vulnerability from fkie_nvd - Published: 2023-10-27 20:15 - Updated: 2026-06-17 06:30
Severity
Summary
FFmpeg prior to commit bf814 was discovered to contain an out of bounds read via the dist->alphabet_size variable in the read_vlc_prefix() function.
References
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:ffmpeg:ffmpeg:6.1:*:*:*:*:*:*:*",
"matchCriteriaId": "9F9E88B2-A11F-475E-A456-538734144487",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "FFmpeg prior to commit bf814 was discovered to contain an out of bounds read via the dist-\u003ealphabet_size variable in the read_vlc_prefix() function."
},
{
"lang": "es",
"value": "Se descubri\u00f3 que FFmpeg antes del commit bf814 conten\u00eda una lectura fuera de los l\u00edmites a trav\u00e9s de la variable dist-\u0026gt;alphabet_size en la funci\u00f3n read_vlc_prefix()."
}
],
"id": "CVE-2023-46407",
"lastModified": "2026-06-17T06:30:48.683",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "NONE",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2023-10-27T20:15:09.087",
"references": [
{
"source": "cve@mitre.org",
"tags": [
"Patch"
],
"url": "https://github.com/FFmpeg/FFmpeg/commit/bf814387f42e9b0dea9d75c03db4723c88e7d962"
},
{
"source": "cve@mitre.org",
"tags": [
"Patch"
],
"url": "https://patchwork.ffmpeg.org/project/ffmpeg/patch/20231013014959.536776-1-leo.izen%40gmail.com/"
},
{
"source": "cve@mitre.org",
"tags": [
"Patch"
],
"url": "https://patchwork.ffmpeg.org/project/ffmpeg/patch/20231015004924.597746-1-leo.izen%40gmail.com/"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch"
],
"url": "https://github.com/FFmpeg/FFmpeg/commit/bf814387f42e9b0dea9d75c03db4723c88e7d962"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch"
],
"url": "https://patchwork.ffmpeg.org/project/ffmpeg/patch/20231013014959.536776-1-leo.izen%40gmail.com/"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch"
],
"url": "https://patchwork.ffmpeg.org/project/ffmpeg/patch/20231015004924.597746-1-leo.izen%40gmail.com/"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-125"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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
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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