FKIE_CVE-2009-0844
Vulnerability from fkie_nvd - Published: 2009-04-09 00:30 - Updated: 2026-06-16 23:05
Severity
Summary
The get_input_token function in the SPNEGO implementation in MIT Kerberos 5 (aka krb5) 1.5 through 1.6.3 allows remote attackers to cause a denial of service (daemon crash) and possibly obtain sensitive information via a crafted length value that triggers a buffer over-read.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| mit | kerberos | 5-1.6.3 | |
| mit | kerberos_5 | - | |
| mit | kerberos_5 | 1.5 | |
| mit | kerberos_5 | 1.5.1 | |
| mit | kerberos_5 | 1.5.2 | |
| mit | kerberos_5 | 1.5.3 | |
| mit | kerberos_5 | 1.6 | |
| mit | kerberos_5 | 1.6.1 | |
| mit | kerberos_5 | 1.6.2 |
{
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"source": "cve@mitre.org"
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"value": "The get_input_token function in the SPNEGO implementation in MIT Kerberos 5 (aka krb5) 1.5 through 1.6.3 allows remote attackers to cause a denial of service (daemon crash) and possibly obtain sensitive information via a crafted length value that triggers a buffer over-read."
},
{
"lang": "es",
"value": "La funci\u00f3n get_input_token en la implementaci\u00f3n SPNEGO de MIT Kerberos 5 (tambi\u00e9n conocido como krb5) v1.5 hasta v1.6.3 permite a atacantes remotos provocar una denegaci\u00f3n de servicio (ca\u00edda del demonio) y posiblemente obtener informaci\u00f3n sensible a trav\u00e9s de un valor length modificado que dispara una sobrescritura del b\u00fafer."
}
],
"id": "CVE-2009-0844",
"lastModified": "2026-06-16T23:05:56.133",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.8,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 4.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
]
},
"published": "2009-04-09T00:30:00.250",
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"url": "http://lists.apple.com/archives/security-announce/2009/May/msg00002.html"
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{
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"url": "http://secunia.com/advisories/34594"
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{
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{
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{
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{
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{
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"url": "http://web.mit.edu/kerberos/advisories/MITKRB5-SA-2009-001.txt"
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"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
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}
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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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