CERTFR-2023-AVI-0511
Vulnerability from certfr_avis - Published: - Updated:
Une vulnérabilité a été découverte dans GitLab Enterprise Edition (EE). Elle permet à un attaquant de provoquer une atteinte à la confidentialité des données et une atteinte à l'intégrité des données.
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": "GitLab Enterprise Edition versions 16.0.x ant\u00e9rieures \u00e0 16.0.7",
"product": {
"name": "N/A",
"vendor": {
"name": "GitLab",
"scada": false
}
}
},
{
"description": "GitLab Enterprise Edition versions post\u00e9rieures \u00e0 12.8 et ant\u00e9rieures \u00e0 15.11.11",
"product": {
"name": "N/A",
"vendor": {
"name": "GitLab",
"scada": false
}
}
},
{
"description": "GitLab Enterprise Edition versions 16.1.x ant\u00e9rieures \u00e0 16.1.2",
"product": {
"name": "N/A",
"vendor": {
"name": "GitLab",
"scada": false
}
}
}
],
"affected_systems_content": null,
"content": "## 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-2023-3484",
"url": "https://www.cve.org/CVERecord?id=CVE-2023-3484"
}
],
"links": [],
"reference": "CERTFR-2023-AVI-0511",
"revisions": [
{
"description": "Version initiale",
"revision_date": "2023-07-06T00:00:00.000000"
}
],
"risks": [
{
"description": "Atteinte \u00e0 l\u0027int\u00e9grit\u00e9 des donn\u00e9es"
},
{
"description": "Atteinte \u00e0 la confidentialit\u00e9 des donn\u00e9es"
}
],
"summary": "Une vuln\u00e9rabilit\u00e9 a \u00e9t\u00e9 d\u00e9couverte dans \u003cspan class=\"textit\"\u003eGitLab\nEnterprise Edition (EE)\u003c/span\u003e. Elle permet \u00e0 un attaquant de provoquer\nune atteinte \u00e0 la confidentialit\u00e9 des donn\u00e9es et une atteinte \u00e0\nl\u0027int\u00e9grit\u00e9 des donn\u00e9es.\n",
"title": "Vuln\u00e9rabilit\u00e9 dans les produits GitLab Enterprise Edition",
"vendor_advisories": [
{
"published_at": null,
"title": "Bulletin de s\u00e9curit\u00e9 GitLab du 05 juillet 2023",
"url": "https://about.gitlab.com/releases/2023/07/05/security-release-gitlab-16-1-2-released/"
}
]
}
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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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