CERTA-2006-AVI-251
Vulnerability from certfr_avis - Published: - Updated:None
Description
Une vulnérabilité dans le noyau Linux, au niveau du code xt_sctp, permet à un utilisateur mal intentionné de réaliser un déni de service.
Solution
Mettre à jour le noyau Linux en version 2.6.17.1.
Dans tous les cas, se référer au bulletin de sécurité de l'éditeur pour
l'obtention des correctifs (cf. section Documentation).
Noyau Linux versions 2.6.17 et versions antérieures.
Impacted products
| Vendor | Product | Description |
|---|
References
| Title | Publication Time | Tags | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
|
|||||||||||
{
"$ref": "https://www.cert.ssi.gouv.fr/openapi.json",
"affected_systems": [],
"affected_systems_content": "\u003cp\u003eNoyau Linux versions 2.6.17 et versions ant\u00e9rieures.\u003c/p\u003e",
"content": "## Description\n\nUne vuln\u00e9rabilit\u00e9 dans le noyau Linux, au niveau du code xt_sctp, permet\n\u00e0 un utilisateur mal intentionn\u00e9 de r\u00e9aliser un d\u00e9ni de service.\n\n## Solution\n\nMettre \u00e0 jour le noyau Linux en version 2.6.17.1. \nDans tous les cas, se r\u00e9f\u00e9rer au bulletin de s\u00e9curit\u00e9 de l\u0027\u00e9diteur pour\nl\u0027obtention des correctifs (cf. section Documentation).\n",
"cves": [
{
"name": "CVE-2006-3085",
"url": "https://www.cve.org/CVERecord?id=CVE-2006-3085"
}
],
"links": [
{
"title": "Site Internet du noyau Linux :",
"url": "http://www.kernel.org"
},
{
"title": "Liste des changements dans le noyau 2.6.17.1 :",
"url": "http://www.kernel.org/pub/linux/kernel/v2.6/ChangeLog-2.6.17.1"
}
],
"reference": "CERTA-2006-AVI-251",
"revisions": [
{
"description": "version initiale.",
"revision_date": "2006-06-22T00:00:00.000000"
}
],
"risks": [
{
"description": "D\u00e9ni de service"
}
],
"summary": null,
"title": "Vuln\u00e9rabilit\u00e9 du noyau Linux",
"vendor_advisories": [
{
"published_at": null,
"title": "Bulletin de s\u00e9curit\u00e9 Secunia SA20703 du 20 Juin 2006",
"url": "http://secunia.com/advisories/20703"
}
]
}
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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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