GSD-2020-10769
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
A buffer over-read flaw was found in RH kernel versions before 5.0 in crypto_authenc_extractkeys in crypto/authenc.c in the IPsec Cryptographic algorithm's module, authenc. When a payload longer than 4 bytes, and is not following 4-byte alignment boundary guidelines, it causes a buffer over-read threat, leading to a system crash. This flaw allows a local attacker with user privileges to cause a denial of service.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2020-10769",
"description": "A buffer over-read flaw was found in RH kernel versions before 5.0 in crypto_authenc_extractkeys in crypto/authenc.c in the IPsec Cryptographic algorithm\u0027s module, authenc. When a payload longer than 4 bytes, and is not following 4-byte alignment boundary guidelines, it causes a buffer over-read threat, leading to a system crash. This flaw allows a local attacker with user privileges to cause a denial of service.",
"id": "GSD-2020-10769",
"references": [
"https://www.suse.com/security/cve/CVE-2020-10769.html",
"https://access.redhat.com/errata/RHSA-2020:5441",
"https://access.redhat.com/errata/RHSA-2020:5437",
"https://access.redhat.com/errata/RHSA-2020:3545",
"https://linux.oracle.com/cve/CVE-2020-10769.html"
]
},
"gsd": {
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"remediation": "unknown",
"reportConfidence": "confirmed",
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"modified": "2023-12-13T01:22:04.403500Z",
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"lastModifiedDate": "2023-02-12T23:39Z",
"publishedDate": "2020-06-26T16:15Z"
}
}
}
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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.
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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- 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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