FKIE_CVE-2011-2588
Vulnerability from fkie_nvd - Published: 2011-07-27 02:55 - Updated: 2026-06-16 23:31
Severity
Summary
Heap-based buffer overflow in the AVI_ChunkRead_strf function in libavi.c in the AVI demuxer in VideoLAN VLC media player before 1.1.11 allows remote attackers to cause a denial of service (application crash) or possibly execute arbitrary code via a crafted AVI media file.
References
Impacted products
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"negate": false,
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Heap-based buffer overflow in the AVI_ChunkRead_strf function in libavi.c in the AVI demuxer in VideoLAN VLC media player before 1.1.11 allows remote attackers to cause a denial of service (application crash) or possibly execute arbitrary code via a crafted AVI media file."
},
{
"lang": "es",
"value": "Desbordamiento de b\u00fafer basado en memoria din\u00e1mica en la funci\u00f3n AVI_ChunkRead_strf en libavi.c en el demulpiplexor AVI en el reproductor multimedia VideoLAN VLC anterior a v1.1.11 ,permite a atacantes remotos causar una denegaci\u00f3n de servicio (ca\u00edda de la aplicaci\u00f3n) o ejecutar c\u00f3digo arbitrario a trav\u00e9s de un fichero AVI manipulado."
}
],
"id": "CVE-2011-2588",
"lastModified": "2026-06-16T23:31:36.353",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 6.8,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": true
}
]
},
"published": "2011-07-27T02:55:02.273",
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"Vendor Advisory"
],
"url": "http://www.videolan.org/security/sa1106.html"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/68532"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://oval.cisecurity.org/repository/search/definition/oval%3Aorg.mitre.oval%3Adef%3A14858"
}
],
"sourceIdentifier": "PSIRT-CNA@flexerasoftware.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-119"
}
],
"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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