GSD-2010-2524
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
The DNS resolution functionality in the CIFS implementation in the Linux kernel before 2.6.35, when CONFIG_CIFS_DFS_UPCALL is enabled, relies on a user's keyring for the dns_resolver upcall in the cifs.upcall userspace helper, which allows local users to spoof the results of DNS queries and perform arbitrary CIFS mounts via vectors involving an add_key call, related to a "cache stuffing" issue and MS-DFS referrals.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2010-2524",
"description": "The DNS resolution functionality in the CIFS implementation in the Linux kernel before 2.6.35, when CONFIG_CIFS_DFS_UPCALL is enabled, relies on a user\u0027s keyring for the dns_resolver upcall in the cifs.upcall userspace helper, which allows local users to spoof the results of DNS queries and perform arbitrary CIFS mounts via vectors involving an add_key call, related to a \"cache stuffing\" issue and MS-DFS referrals.",
"id": "GSD-2010-2524",
"references": [
"https://www.suse.com/security/cve/CVE-2010-2524.html",
"https://www.debian.org/security/2011/dsa-2264",
"https://access.redhat.com/errata/RHSA-2010:0610",
"https://linux.oracle.com/cve/CVE-2010-2524.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
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"modified": "2023-12-13T01:21:31.444036Z",
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},
"lastModifiedDate": "2023-02-13T03:16Z",
"publishedDate": "2010-09-08T20:00Z"
}
}
}
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
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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.