Langfuse is an open source large language model engineering platform. In versions from 2.95.0 to before 2.95.12 and from 3.17.0 to before 3.131.0, in SSO provider configurations without an explicit AUTH_<PROVIDER>_CHECK setting, a potential account takeover may happen if an authenticated user is made to call a specifically crafted URL via a CSRF or phishing attack. This issue has been patched in versions 2.95.12 and 3.131.0. A workaround for this issue involves setting AUTH_<PROVIDER>_CHECK.
This vulnerability carries a MEDIUM severity rating with a CVSS v3.1 score of 6.5, indicating it can be exploited remotely over the network with relatively low complexity though user interaction is required and does not require pre-existing privileges . The vulnerability impacts confidentiality (data exposure), for affected systems. Impacting 1 product from langfuse organizations running these solutions should prioritize assessment and patching.
Reported in 2025, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.
2025-11-21T22:16:33.127
2025-12-03T15:24:37.370
Analyzed
CVSSv3.1: 6.5 (MEDIUM)
| Type | Vendor | Product | Version/Range | Vulnerable? |
|---|---|---|---|---|
| Application | langfuse | langfuse | < 2.95.12 | Yes |
| Application | langfuse | langfuse | < 3.131.0 | Yes |
SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For langfuse's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.