CVE-2002-0036 (GCVE-0-2002-0036)
Vulnerability from cvelistv5 – Published: 2004-09-01 04:00 – Updated: 2024-08-08 02:35
VLAI
EPSS
VEX
Summary
Integer signedness error in MIT Kerberos V5 ASN.1 decoder before krb5 1.2.5 allows remote attackers to cause a denial of service via a large unsigned data element length, which is later used as a negative value.
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
10 references
| URL | Tags |
|---|---|
| http://www.redhat.com/support/errata/RHSA-2003-052.html | vendor-advisoryx_refsource_REDHAT |
| http://web.mit.edu/kerberos/www/advisories/MITKRB… | x_refsource_CONFIRM |
| http://www.redhat.com/support/errata/RHSA-2003-051.html | vendor-advisoryx_refsource_REDHAT |
| http://www.mandrakesoft.com/security/advisories?n… | vendor-advisoryx_refsource_MANDRAKE |
| http://www.osvdb.org/4896 | vdb-entryx_refsource_OSVDB |
| http://www.securityfocus.com/bid/6713 | vdb-entryx_refsource_BID |
| https://exchange.xforce.ibmcloud.com/vulnerabilit… | vdb-entryx_refsource_XF |
| http://distro.conectiva.com.br/atualizacoes/?id=a… | vendor-advisoryx_refsource_CONECTIVA |
| http://www.kb.cert.org/vuls/id/587579 | third-party-advisoryx_refsource_CERT-VN |
| http://www.redhat.com/support/errata/RHSA-2003-168.html | vendor-advisoryx_refsource_REDHAT |
Date Public
2003-01-29 00:00
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"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/11190"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "NVD-CWE-Other"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
},
"redhat_vex": {
"aggregate_severity": "Important",
"current_release_date": "2025-11-21T13:34:48+00:00",
"cve": "CVE-2002-0036",
"id": "CVE-2002-0036",
"initial_release_date": "2002-01-01T00:00:00+00:00",
"product_status:fixed": "10",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "security flaw",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2002/cve-2002-0036.json",
"version": "3"
}
}
}
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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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