FKIE_CVE-2013-4694
Vulnerability from fkie_nvd - Published: 2014-04-16 22:55 - Updated: 2026-06-16 23:57
Severity
Summary
Stack-based buffer overflow in gen_jumpex.dll in Winamp before 5.64 Build 3418 allows remote attackers to cause a denial of service (crash) and possibly execute arbitrary code via a package with a long Skin directory name. NOTE: a second buffer overflow involving a long GUI Search field to ml_local.dll was also reported. However, since it is only exploitable by the user of the application, this issue would not cross privilege boundaries unless Winamp is running under a highly restricted environment such as a kiosk.
References
Impacted products
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"lang": "en",
"value": "Stack-based buffer overflow in gen_jumpex.dll in Winamp before 5.64 Build 3418 allows remote attackers to cause a denial of service (crash) and possibly execute arbitrary code via a package with a long Skin directory name. NOTE: a second buffer overflow involving a long GUI Search field to ml_local.dll was also reported. However, since it is only exploitable by the user of the application, this issue would not cross privilege boundaries unless Winamp is running under a highly restricted environment such as a kiosk."
},
{
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"value": "Desbordamiento de buffer basado en pila en gen_jumpex.dll en Winamp anterior a 5.64 Build 3418 permite a atacantes remotos causar una denegaci\u00f3n de servicio (ca\u00edda) y posiblemente ejecutar c\u00f3digo arbitrario a trav\u00e9s de un paquete con un nombre de directorio Skin largo. NOTA: un segundo desbordamiento de buffer involucrando un campo de b\u00fasqueda GUI largo hacia ml_local.dll fue tambi\u00e9n reportado. Sin embargo, como solo es explotable por el usuario de la aplicaci\u00f3n, este problema no cruzar\u00eda l\u00edmites de privilegio a no ser que Winamp est\u00e1 funcionando bajo un entorno altamente restringido como un kiosk."
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"id": "CVE-2013-4694",
"lastModified": "2026-06-16T23:57:44.260",
"metrics": {
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"baseSeverity": "HIGH",
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 7.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
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"source": "nvd@nist.gov",
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"published": "2014-04-16T22:55:06.137",
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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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