GHSA-FH9M-XG7X-WMP2
Vulnerability from github – Published: 2022-05-17 04:56 – Updated: 2022-05-17 04:56
VLAI
Details
lisp/files.el in Emacs 23.2, 23.3, 23.4, and 24.1 automatically executes eval forms in local-variable sections when the enable-local-variables option is set to :safe, which allows user-assisted remote attackers to execute arbitrary Emacs Lisp code via a crafted file.
{
"affected": [],
"aliases": [
"CVE-2012-3479"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2012-08-25T10:29:00Z",
"severity": "MODERATE"
},
"details": "lisp/files.el in Emacs 23.2, 23.3, 23.4, and 24.1 automatically executes eval forms in local-variable sections when the enable-local-variables option is set to :safe, which allows user-assisted remote attackers to execute arbitrary Emacs Lisp code via a crafted file.",
"id": "GHSA-fh9m-xg7x-wmp2",
"modified": "2022-05-17T04:56:41Z",
"published": "2022-05-17T04:56:41Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2012-3479"
},
{
"type": "WEB",
"url": "http://debbugs.gnu.org/cgi/bugreport.cgi?bug=12155"
},
{
"type": "WEB",
"url": "http://lists.opensuse.org/opensuse-updates/2012-10/msg00057.html"
},
{
"type": "WEB",
"url": "http://secunia.com/advisories/50157"
},
{
"type": "WEB",
"url": "http://secunia.com/advisories/50801"
},
{
"type": "WEB",
"url": "http://www.debian.org/security/2013/dsa-2603"
},
{
"type": "WEB",
"url": "http://www.mandriva.com/security/advisories?name=MDVSA-2013:076"
},
{
"type": "WEB",
"url": "http://www.openwall.com/lists/oss-security/2012/08/13/1"
},
{
"type": "WEB",
"url": "http://www.openwall.com/lists/oss-security/2012/08/13/2"
},
{
"type": "WEB",
"url": "http://www.securityfocus.com/bid/54969"
},
{
"type": "WEB",
"url": "http://www.securitytracker.com/id?1027375"
},
{
"type": "WEB",
"url": "http://www.slackware.com/security/viewer.php?l=slackware-security\u0026y=2012\u0026m=slackware-security.420006"
},
{
"type": "WEB",
"url": "http://www.ubuntu.com/usn/USN-1586-1"
}
],
"schema_version": "1.4.0",
"severity": []
}
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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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