๐Ÿ” CVE Alert

CVE-2026-115886

MEDIUM 6.5

MLflow: SSRF on unauthenticated MLflow servers via third-party scorer kwargs in the scorer invoke, register, and GenAI evaluate endpoints

CVSS Score
6.5
EPSS Score
0.0%
EPSS Percentile
0th

MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 3.12.0rc0 until 3.17.0, the scorer invoke, register, and GenAI evaluate endpoints, including unauthenticated POST /ajax-api/3.0/mlflow/scorer/invoke, accept serialized third-party scorer data that Scorer.model_validate_json resolves using a module-path allowlist without constraining the selected class or its constructor arguments. When optional trulens and trulens-providers-litellm packages are installed, an attacker can select mlflow.genai.scorers.trulens, choose a model URI outside MLflow's native provider registry so execution uses the LiteLLM fallback, and supply api_base and api_key values that cause the server to send an outbound request to an attacker-chosen or internal host with attacker-controlled headers and body. The vulnerable deserialization occurs before a tracking-store lookup or job submission. This issue is fixed in version 3.17.0.

CWE CWE-470 CWE-918
Vendor mlflow
Product mlflow
Published Oct 23, 2026
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CVSS v3 Breakdown

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N
Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
Low
Integrity
Low
Availability
None

Affected Versions

mlflow / mlflow
>= 3.12.0rc0, < 3.17.0

References

NVD โ†— CVE.org โ†— EPSS Data โ†—
github.com: https://github.com/mlflow/mlflow/security/advisories/GHSA-2wqp-q3c6-ccj5 github.com: https://github.com/mlflow/mlflow/pull/25890 github.com: https://github.com/mlflow/mlflow/commit/bac30b4148c4f40045b4d4db07ae60ab3838803f github.com: https://github.com/mlflow/mlflow/releases/tag/v3.17.0