FKIE_CVE-2011-0284
Vulnerability from fkie_nvd - Published: 2011-03-20 02:00 - Updated: 2026-06-16 23:27
Severity
Summary
Double free vulnerability in the prepare_error_as function in do_as_req.c in the Key Distribution Center (KDC) in MIT Kerberos 5 (aka krb5) 1.7 through 1.9, when the PKINIT feature is enabled, allows remote attackers to cause a denial of service (daemon crash) or possibly execute arbitrary code via an e_data field containing typed data.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| mit | kerberos_5 | 1.7 | |
| mit | kerberos_5 | 1.7.1 | |
| mit | kerberos_5 | 1.8 | |
| mit | kerberos_5 | 1.8.1 | |
| mit | kerberos_5 | 1.8.2 | |
| mit | kerberos_5 | 1.8.3 | |
| mit | kerberos_5 | 1.9 |
{
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"source": "cve@mitre.org"
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"configurations": [
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"cveTags": [],
"descriptions": [
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"lang": "en",
"value": "Double free vulnerability in the prepare_error_as function in do_as_req.c in the Key Distribution Center (KDC) in MIT Kerberos 5 (aka krb5) 1.7 through 1.9, when the PKINIT feature is enabled, allows remote attackers to cause a denial of service (daemon crash) or possibly execute arbitrary code via an e_data field containing typed data."
},
{
"lang": "es",
"value": "Doble Vulnerabilidad libre en la funci\u00f3n prepare_error_as en do_as_req.c en el Key Distribution Center (KDC) en MIT Kerberos 5 (tambi\u00e9n conocido como krb5) v1.7 hasta v1.9, cuando la funci\u00f3n PKINIT est\u00e1 habilitada, permite a atacantes remotos provocar una denegaci\u00f3n de servicio (ca\u00edda de demonio) o posiblemente ejecutar c\u00f3digo arbitrario a trav\u00e9s de un campo e_data contiene datos con tipo."
}
],
"id": "CVE-2011-0284",
"lastModified": "2026-06-16T23:27:09.130",
"metrics": {
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"acInsufInfo": false,
"baseSeverity": "HIGH",
"cvssData": {
"accessComplexity": "HIGH",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 7.6,
"confidentialityImpact": "COMPLETE",
"integrityImpact": "COMPLETE",
"vectorString": "AV:N/AC:H/Au:N/C:C/I:C/A:C",
"version": "2.0"
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"exploitabilityScore": 4.9,
"impactScore": 10.0,
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"published": "2011-03-20T02:00:03.253",
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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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