FKIE_CVE-2026-41487
Vulnerability from fkie_nvd - Published: 2026-05-08 15:16 - Updated: 2026-06-17 10:46
Severity
Summary
Langfuse is an open source large language model engineering platform. From version 3.68.0 to before version 3.167.0, there is a role-based-access control flaw in the LLM connection update flow. An authenticated, low-privileged user of role “member” in a project could request the update of an existing LLM connection to an attacker-controlled baseUrl, causing Langfuse to reuse the stored provider secret and redirect the test request to an attacker-controlled endpoint. This could expose the plaintext provider LLM API key for that connection. The attack is only possible if a user is already part of a project and has “member” scoped access. This issue has been patched in version 3.167.0.
References
{
"affected": [
{
"affectedData": [
{
"product": "langfuse",
"vendor": "langfuse",
"versions": [
{
"status": "affected",
"version": "\u003e= 3.68.0, \u003c 3.167.0"
}
]
}
],
"source": "security-advisories@github.com"
}
],
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"versionEndExcluding": "3.167.0",
"versionStartIncluding": "3.68.0",
"vulnerable": true
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"cveTags": [],
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"lang": "en",
"value": "Langfuse is an open source large language model engineering platform. From version 3.68.0 to before version 3.167.0, there is a role-based-access control flaw in the LLM connection update flow. An authenticated, low-privileged user of role \u201cmember\u201d in a project could request the update of an existing LLM connection to an attacker-controlled baseUrl, causing Langfuse to reuse the stored provider secret and redirect the test request to an attacker-controlled endpoint. This could expose the plaintext provider LLM API key for that connection. The attack is only possible if a user is already part of a project and has \u201cmember\u201d scoped access. This issue has been patched in version 3.167.0."
}
],
"id": "CVE-2026-41487",
"lastModified": "2026-06-17T10:46:47.070",
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"scope": "UNCHANGED",
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"providerUrgency": "NOT_DEFINED",
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"valueDensity": "NOT_DEFINED",
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"role": "CISA Coordinator",
"timestamp": "2026-05-08T19:44:13.340871Z",
"version": "2.0.3"
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"published": "2026-05-08T15:16:39.800",
"references": [
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"url": "https://github.com/langfuse/langfuse/security/advisories/GHSA-2524-j966-gfgh"
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"vulnStatus": "Analyzed",
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"type": "Secondary"
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}
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
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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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