CVE-2012-1184 (GCVE-0-2012-1184)
Vulnerability from cvelistv5 – Published: 2012-09-18 18:00 – Updated: 2024-08-06 18:53
VLAI
EPSS
VEX
Summary
Stack-based buffer overflow in the ast_parse_digest function in main/utils.c in Asterisk 1.8.x before 1.8.10.1 and 10.x before 10.2.1 allows remote attackers to cause a denial of service (crash) or possibly execute arbitrary code via a long string in an HTTP Digest Authentication header.
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
9 references
| URL | Tags |
|---|---|
| http://www.openwall.com/lists/oss-security/2012/0… | mailing-listx_refsource_MLIST |
| http://downloads.asterisk.org/pub/security/AST-20… | x_refsource_CONFIRM |
| http://www.asterisk.org/node/51797 | x_refsource_CONFIRM |
| http://secunia.com/advisories/48417 | third-party-advisoryx_refsource_SECUNIA |
| http://www.openwall.com/lists/oss-security/2012/0… | mailing-listx_refsource_MLIST |
| http://downloads.asterisk.org/pub/security/AST-20… | x_refsource_CONFIRM |
| http://osvdb.org/80126 | vdb-entryx_refsource_OSVDB |
| http://www.securitytracker.com/id?1026813 | vdb-entryx_refsource_SECTRACK |
| https://exchange.xforce.ibmcloud.com/vulnerabilit… | vdb-entryx_refsource_XF |
Date Public
2012-03-15 00:00
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"lang": "es",
"value": "Vulnerabilidad de desboramiento de buffer basado en memoria din\u00e1mica en la funci\u00f3n ast_parse_digest en main/utils.c en Asterisk v1.8.x antes de v1.8.10.1 y v10.x antes de v10.2.1, permite a atacantes remotos provocar una denegaci\u00f3n de servicio (ca\u00edda) o posiblemente ejecutar c\u00f3digo de su elecci\u00f3n a trav\u00e9s de una cadena larga en una cabecera HTTP Digest Authentication"
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"cveTags": [],
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"value": "Stack-based buffer overflow in the ast_parse_digest function in main/utils.c in Asterisk 1.8.x before 1.8.10.1 and 10.x before 10.2.1 allows remote attackers to cause a denial of service (crash) or possibly execute arbitrary code via a long string in an HTTP Digest Authentication header."
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"accessVector": "NETWORK",
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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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