GHSA-52VR-H4MX-5468
Vulnerability from github – Published: 2022-05-13 01:06 – Updated: 2025-04-12 12:33
VLAI
Details
The ptrace system call in IBM AIX 5.3, 6.1, and 7.1, and VIOS 2.2.x, allows local users to cause a denial of service (system crash) or obtain sensitive information from kernel memory via a crafted PT_LDINFO operation.
{
"affected": [],
"aliases": [
"CVE-2014-0930"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2014-05-08T10:55:00Z",
"severity": "MODERATE"
},
"details": "The ptrace system call in IBM AIX 5.3, 6.1, and 7.1, and VIOS 2.2.x, allows local users to cause a denial of service (system crash) or obtain sensitive information from kernel memory via a crafted PT_LDINFO operation.",
"id": "GHSA-52vr-h4mx-5468",
"modified": "2025-04-12T12:33:28Z",
"published": "2022-05-13T01:06:58Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2014-0930"
},
{
"type": "WEB",
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/92262"
},
{
"type": "WEB",
"url": "https://www.portcullis-security.com/security-research-and-downloads/security-advisories/cve-2014-0930"
},
{
"type": "WEB",
"url": "http://aix.software.ibm.com/aix/efixes/security/ptrace_advisory.asc"
},
{
"type": "WEB",
"url": "http://archives.neohapsis.com/archives/bugtraq/2014-05/0031.html"
},
{
"type": "WEB",
"url": "http://www.ibm.com/support/docview.wss?uid=isg1IV58766"
},
{
"type": "WEB",
"url": "http://www.ibm.com/support/docview.wss?uid=isg1IV58840"
},
{
"type": "WEB",
"url": "http://www.ibm.com/support/docview.wss?uid=isg1IV58861"
},
{
"type": "WEB",
"url": "http://www.ibm.com/support/docview.wss?uid=isg1IV58888"
},
{
"type": "WEB",
"url": "http://www.ibm.com/support/docview.wss?uid=isg1IV58948"
},
{
"type": "WEB",
"url": "http://www.ibm.com/support/docview.wss?uid=isg1IV59045"
},
{
"type": "WEB",
"url": "http://www.ibm.com/support/docview.wss?uid=isg1IV59675"
}
],
"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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