CERTA-2006-AVI-458
Vulnerability from certfr_avis - Published: 2006-10-20 - Updated: 2006-10-20
Cette vulnérabilité permet à un utilisateur mal intentionné de contouner la politique de sécurité et d'augmenter ses privilèges.
Description
Une vulnérabilité présente dans HP CIFS Server (Samba) permet à un utilisateur mal intentionné d'accèder à des données non-autorisées ou d'augmenter ses privilèges.
Solution
Se référer au bulletin de sécurité de l'éditeur pour l'obtention des correctifs (cf. section Documentation).
NoneImpacted products
References
| Title | Publication Time | Tags | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
|
|||||||||||
{
"$ref": "https://www.cert.ssi.gouv.fr/openapi.json",
"affected_systems": [
{
"description": "HP-UX B.11.23 (11i v2) utilisant HP CIFS Server versions ant\u00e9rieures \u00e0 A.02.03.",
"product": {
"name": "N/A",
"vendor": {
"name": "N/A",
"scada": false
}
}
},
{
"description": "HP-UX B.11.11 (11i v1) utilisant HP CIFS Server versions ant\u00e9rieures \u00e0 A.02.03 ;",
"product": {
"name": "N/A",
"vendor": {
"name": "N/A",
"scada": false
}
}
}
],
"affected_systems_content": null,
"content": "## Description\n\nUne vuln\u00e9rabilit\u00e9 pr\u00e9sente dans HP CIFS Server (Samba) permet \u00e0 un\nutilisateur mal intentionn\u00e9 d\u0027acc\u00e8der \u00e0 des donn\u00e9es non-autoris\u00e9es ou\nd\u0027augmenter ses privil\u00e8ges.\n\n## Solution\n\nSe r\u00e9f\u00e9rer au bulletin de s\u00e9curit\u00e9 de l\u0027\u00e9diteur pour l\u0027obtention des\ncorrectifs (cf. section Documentation).\n",
"cves": [
{
"name": "CVE-2006-3403",
"url": "https://www.cve.org/CVERecord?id=CVE-2006-3403"
}
],
"initial_release_date": "2006-10-20T00:00:00",
"last_revision_date": "2006-10-20T00:00:00",
"links": [
{
"title": "Avis du CERTA du 13 juillet 2006 :",
"url": "http://www.certa.ssi.gouv.fr/site/CERTA-2006-AVI-294"
},
{
"title": "Bulletin de s\u00e9curit\u00e9 HP c00774481 du 25 septembre 2006 :",
"url": "http://itrc.hp.com/service/cki/docDisplay.do?docId=c00774481"
}
],
"reference": "CERTA-2006-AVI-458",
"revisions": [
{
"description": "version initiale.",
"revision_date": "2006-10-20T00:00:00.000000"
}
],
"risks": [
{
"description": "Contournement de la politique de s\u00e9curit\u00e9"
},
{
"description": "\u00c9l\u00e9vation de privil\u00e8ges"
}
],
"summary": "Cette vuln\u00e9rabilit\u00e9 permet \u00e0 un utilisateur mal intentionn\u00e9 de contouner\nla politique de s\u00e9curit\u00e9 et d\u0027augmenter ses privil\u00e8ges.\n",
"title": "Vuln\u00e9rabilit\u00e9 dans HP CIFS Server",
"vendor_advisories": [
{
"published_at": null,
"title": "Bulletin de s\u00e9curit\u00e9 HP du 25 septembre 2006",
"url": null
}
]
}
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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.
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- 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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