CERTA-2009-AVI-250
Vulnerability from certfr_avis - Published: - Updated:
De multiples vulnérabilités ont été corrigées dans OCS Inventory NG Server.
Description
Deux failles ont été corrigées dans OCS Inventory NG Server. La première permet à une personne malintentionnée d'effectuer des injections SQL. La seconde vulnérabilité (CVE-2009-2261), dans le fichier cvs.php, permet à une personne d'accéder à des fichiers arbitraires du système.
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": "OCS Inventory NG Server versions ant\u00e9rieures \u00e0 1.02.1 sur GNU Linux/UNIX;",
"product": {
"name": "N/A",
"vendor": {
"name": "N/A",
"scada": false
}
}
},
{
"description": "OCS Inventory NG Server versions ant\u00e9rieures \u00e0 1.02.1 sur Microsoft Windows.",
"product": {
"name": "Windows",
"vendor": {
"name": "Microsoft",
"scada": false
}
}
}
],
"affected_systems_content": null,
"content": "## Description\n\nDeux failles ont \u00e9t\u00e9 corrig\u00e9es dans OCS Inventory NG Server. La premi\u00e8re\npermet \u00e0 une personne malintentionn\u00e9e d\u0027effectuer des injections SQL. La\nseconde vuln\u00e9rabilit\u00e9 (CVE-2009-2261), dans le fichier cvs.php, permet \u00e0\nune personne d\u0027acc\u00e9der \u00e0 des fichiers arbitraires du syst\u00e8me.\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-2009-2261",
"url": "https://www.cve.org/CVERecord?id=CVE-2009-2261"
},
{
"name": "CVE-2009-2166",
"url": "https://www.cve.org/CVERecord?id=CVE-2009-2166"
}
],
"links": [],
"reference": "CERTA-2009-AVI-250",
"revisions": [
{
"description": "version initiale.",
"revision_date": "2009-06-24T00:00:00.000000"
}
],
"risks": [
{
"description": "Injection SQL"
},
{
"description": "Atteinte \u00e0 la confidentialit\u00e9 des donn\u00e9es"
}
],
"summary": "De multiples vuln\u00e9rabilit\u00e9s ont \u00e9t\u00e9 corrig\u00e9es dans OCS Inventory NG\nServer.\n",
"title": "Vuln\u00e9rabilit\u00e9s dans OCS Inventory NG Server",
"vendor_advisories": [
{
"published_at": null,
"title": "Bulletin de s\u00e9curit\u00e9 OCS Inventory du 30 mai 2009",
"url": "http://www.ocsinventory-ng.org/index.php?mact=News,cntnt01,detail,0\u0026cntnt01articleid=140\u0026cntnt01returnid=111"
}
]
}
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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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