CVE-2009-0954 (GCVE-0-2009-0954)
Vulnerability from cvelistv5 – Published: 2009-06-02 18:00 – Updated: 2024-08-07 04:57
VLAI
EPSS
VEX
Summary
Heap-based buffer overflow in Apple QuickTime before 7.6.2 on Windows allows remote attackers to execute arbitrary code or cause a denial of service (application crash) via a movie file containing crafted Clipping Region (CRGN) atom types.
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
9 references
| URL | Tags |
|---|---|
| http://secunia.com/advisories/35091 | third-party-advisoryx_refsource_SECUNIA |
| https://exchange.xforce.ibmcloud.com/vulnerabilit… | vdb-entryx_refsource_XF |
| http://support.apple.com/kb/HT3591 | x_refsource_CONFIRM |
| http://www.securitytracker.com/id?1022314 | vdb-entryx_refsource_SECTRACK |
| http://www.vupen.com/english/advisories/2009/1469 | vdb-entryx_refsource_VUPEN |
| http://www.securityfocus.com/bid/35167 | vdb-entryx_refsource_BID |
| https://oval.cisecurity.org/repository/search/def… | vdb-entrysignaturex_refsource_OVAL |
| http://osvdb.org/54875 | vdb-entryx_refsource_OSVDB |
| http://lists.apple.com/archives/security-announce… | vendor-advisoryx_refsource_APPLE |
Date Public
2009-06-01 00:00
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],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Heap-based buffer overflow in Apple QuickTime before 7.6.2 on Windows allows remote attackers to execute arbitrary code or cause a denial of service (application crash) via a movie file containing crafted Clipping Region (CRGN) atom types."
},
{
"lang": "es",
"value": "Desbordamiento de b\u00fafer basado en memoria din\u00e1mica en Apple QuickTime anterior a v7.6.2 en Windows permite a atacantes remotos ejecutar c\u00f3digo arbitrario o producir una denegaci\u00f3n de servicio (ca\u00edda de aplicaci\u00f3n) a trav\u00e9s de un fichero de pel\u00edcula que contenga una tipos de regiones de clipping manipuladas (CRNG)"
}
],
"id": "CVE-2009-0954",
"lastModified": "2026-04-23T00:35:47.467",
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{
"acInsufInfo": false,
"baseSeverity": "HIGH",
"cvssData": {
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"accessVector": "NETWORK",
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"baseScore": 9.3,
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"integrityImpact": "COMPLETE",
"vectorString": "AV:N/AC:M/Au:N/C:C/I:C/A:C",
"version": "2.0"
},
"exploitabilityScore": 8.6,
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"obtainOtherPrivilege": false,
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}
]
},
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}
}
}
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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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