FKIE_CVE-2012-3306
Vulnerability from fkie_nvd - Published: 2012-09-25 20:55 - Updated: 2026-06-16 23:42
Severity
Summary
IBM WebSphere Application Server (WAS) 6.1 before 6.1.0.45, 7.0 before 7.0.0.25, 8.0 before 8.0.0.5, and 8.5 before 8.5.0.1, when multi-domain support is configured, does not purge password data from the authentication cache, which has unspecified impact and remote attack vectors.
References
Impacted products
{
"affected": [
{
"affectedData": [
{
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"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "psirt@us.ibm.com"
}
],
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],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "IBM WebSphere Application Server (WAS) 6.1 before 6.1.0.45, 7.0 before 7.0.0.25, 8.0 before 8.0.0.5, and 8.5 before 8.5.0.1, when multi-domain support is configured, does not purge password data from the authentication cache, which has unspecified impact and remote attack vectors."
},
{
"lang": "es",
"value": "IBM WebSphere Application Server (WAS) v6.1 antes de v6.1.0.45, v7.0 antes de v7.0.0.25, v8.0 antes de v8.0.0.5, y v8.5 antes de v8.5.0.1, cuando el soporte multi-dominio est\u00e1 configurado, no elimina la contrase\u00f1a de la cach\u00e9 de autenticaci\u00f3n, lo cual tiene un impacto no especificado y vectores de ataque remotos.\r\n"
}
],
"id": "CVE-2012-3306",
"lastModified": "2026-06-16T23:42:57.967",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 6.8,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 6.4,
"obtainAllPrivilege": false,
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"source": "nvd@nist.gov",
"type": "Primary",
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}
]
},
"published": "2012-09-25T20:55:01.173",
"references": [
{
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"url": "http://www-01.ibm.com/support/docview.wss?uid=swg1PM66514"
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{
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{
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"sourceIdentifier": "psirt@us.ibm.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-255"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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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