GSD-2015-3331
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
The __driver_rfc4106_decrypt function in arch/x86/crypto/aesni-intel_glue.c in the Linux kernel before 3.19.3 does not properly determine the memory locations used for encrypted data, which allows context-dependent attackers to cause a denial of service (buffer overflow and system crash) or possibly execute arbitrary code by triggering a crypto API call, as demonstrated by use of a libkcapi test program with an AF_ALG(aead) socket.
Aliases
Aliases
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"description": "The __driver_rfc4106_decrypt function in arch/x86/crypto/aesni-intel_glue.c in the Linux kernel before 3.19.3 does not properly determine the memory locations used for encrypted data, which allows context-dependent attackers to cause a denial of service (buffer overflow and system crash) or possibly execute arbitrary code by triggering a crypto API call, as demonstrated by use of a libkcapi test program with an AF_ALG(aead) socket.",
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"https://advisories.mageia.org/CVE-2015-3331.html",
"https://alas.aws.amazon.com/cve/html/CVE-2015-3331.html",
"https://linux.oracle.com/cve/CVE-2015-3331.html"
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"remediation": "unknown",
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"modified": "2023-12-13T01:20:07.802985Z",
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"impact": {
"baseMetricV2": {
"cvssV2": {
"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,
"severity": "HIGH",
"userInteractionRequired": false
}
},
"lastModifiedDate": "2023-01-19T16:06Z",
"publishedDate": "2015-05-27T10:59Z"
}
}
}
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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.
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- 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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