FKIE_CVE-2025-2867
Vulnerability from fkie_nvd - Published: 2025-03-27 14:15 - Updated: 2026-06-17 09:07
Severity
4.4 (Medium) - CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:C/C:L/I:L/A:N
6.5 (Medium) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
6.5 (Medium) - CVSS:3.1/
Summary
An issue has been discovered in the GitLab Duo with Amazon Q affecting all versions from 17.8 before 17.8.6, 17.9 before 17.9.3, and 17.10 before 17.10.1. A specifically crafted issue could manipulate AI-assisted development features to potentially expose sensitive project data to unauthorized users.
References
| URL | Tags | ||
|---|---|---|---|
| cve@gitlab.com | https://gitlab.com/gitlab-org/gitlab/-/issues/512509 | Broken Link |
{
"affected": [
{
"affectedData": [
{
"cpes": [
"cpe:2.3:a:gitlab:gitlab:*:*:*:*:*:*:*:*"
],
"defaultStatus": "unaffected",
"product": "GitLab",
"repo": "git://git@gitlab.com:gitlab-org/gitlab.git",
"vendor": "GitLab",
"versions": [
{
"lessThan": "17.8.6",
"status": "affected",
"version": "17.8",
"versionType": "semver"
},
{
"lessThan": "17.9.3",
"status": "affected",
"version": "17.9",
"versionType": "semver"
},
{
"lessThan": "17.10.1",
"status": "affected",
"version": "17.10",
"versionType": "semver"
}
]
}
],
"source": "cve@gitlab.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:gitlab:gitlab:*:*:*:*:community:*:*:*",
"matchCriteriaId": "2B1E1891-6616-488B-8C97-10B93670A27D",
"versionEndExcluding": "17.8.6",
"versionStartIncluding": "17.8.0",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:gitlab:gitlab:*:*:*:*:enterprise:*:*:*",
"matchCriteriaId": "FB3812AE-5369-4CC0-BD74-8731C55A7CE3",
"versionEndExcluding": "17.8.6",
"versionStartIncluding": "17.8.0",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:gitlab:gitlab:*:*:*:*:community:*:*:*",
"matchCriteriaId": "DC72F4EF-256C-46DB-9DC0-30BF1A463E36",
"versionEndExcluding": "17.9.3",
"versionStartIncluding": "17.9.0",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:gitlab:gitlab:*:*:*:*:enterprise:*:*:*",
"matchCriteriaId": "CCB5AC8D-FAC9-4C2B-B273-53D84D1F98B7",
"versionEndExcluding": "17.9.3",
"versionStartIncluding": "17.9.0",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:gitlab:gitlab:17.10.0:*:*:*:community:*:*:*",
"matchCriteriaId": "715EED42-B42D-470F-BAB2-8317716200F0",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:gitlab:gitlab:17.10.0:*:*:*:enterprise:*:*:*",
"matchCriteriaId": "7C528FCC-126C-4DA8-9484-91C9DFAD2585",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "An issue has been discovered in the GitLab Duo with Amazon Q affecting all versions from 17.8 before 17.8.6, 17.9 before 17.9.3, and 17.10 before 17.10.1. A specifically crafted issue could manipulate AI-assisted development features to potentially expose sensitive project data to unauthorized users."
},
{
"lang": "es",
"value": "Se ha descubierto un problema en GitLab Duo con Amazon Q que afecta a todas las versiones (desde la 17.8 hasta la 17.8.6), desde la 17.9 hasta la 17.9.3 y desde la 17.10 hasta la 17.10.1. Un problema manipulado espec\u00edficamente podr\u00eda manipular las funciones de desarrollo asistido por IA para exponer datos confidenciales del proyecto a usuarios no autorizados."
}
],
"id": "CVE-2025-2867",
"lastModified": "2026-06-17T09:07:45.850",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:C/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.3,
"impactScore": 2.7,
"source": "cve@gitlab.com",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-2867",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-03-27T14:18:23.211357Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-03-27T14:15:55.827",
"references": [
{
"source": "cve@gitlab.com",
"tags": [
"Broken Link"
],
"url": "https://gitlab.com/gitlab-org/gitlab/-/issues/512509"
}
],
"sourceIdentifier": "cve@gitlab.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-94"
}
],
"source": "cve@gitlab.com",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "NVD-CWE-noinfo"
}
],
"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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