CVE-2012-4895 (GCVE-0-2012-4895)
Vulnerability from cvelistv5 – Published: 2012-10-05 10:00 – Updated: 2024-08-06 20:50
VLAI
EPSS
VEX
Summary
Heap-based buffer overflow in SumatraPDF before 2.1 allows remote attackers to execute arbitrary code via a crafted PDF document, a different vulnerability than CVE-2012-4896.
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
3 references
| URL | Tags |
|---|---|
| http://secunia.com/advisories/50656 | third-party-advisoryx_refsource_SECUNIA |
| http://code.google.com/p/sumatrapdf/source/browse… | x_refsource_CONFIRM |
| http://technet.microsoft.com/security/msvr/msvr12-014 | x_refsource_MISC |
Date Public
2012-05-03 00:00
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"cvssData": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 9.3,
"confidentialityImpact": "COMPLETE",
"integrityImpact": "COMPLETE",
"vectorString": "AV:N/AC:M/Au:N/C:C/I:C/A:C",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 10.0,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": true
}
]
},
"published": "2012-10-05T10:51:16.083",
"references": [
{
"source": "cve@mitre.org",
"url": "http://code.google.com/p/sumatrapdf/source/browse/trunk/docs/releasenotes.txt"
},
{
"source": "cve@mitre.org",
"url": "http://secunia.com/advisories/50656"
},
{
"source": "cve@mitre.org",
"url": "http://technet.microsoft.com/security/msvr/msvr12-014"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://code.google.com/p/sumatrapdf/source/browse/trunk/docs/releasenotes.txt"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://secunia.com/advisories/50656"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://technet.microsoft.com/security/msvr/msvr12-014"
}
],
"sourceIdentifier": "cve@mitre.org",
"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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