SSRF in Mlflow
CVE-2026-115886
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.
Published .
CVSS v3 metric
CVSS v3 base score 6.5 (Medium). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N.
EPSS exploit prediction
No EPSS score from FIRST.org yet. New CVEs usually get one within a few days; no score means no signal yet, not low risk. How EPSS works.
Affected products
- Mlflow — versions >= 3.12.0rc0, < 3.17.0
Weakness classification (CWE)
References
Frequently asked questions
- What is CVE-2026-115886?
- CVE-2026-115886 is a medium-severity vulnerability in Mlflow, classified under Use of Externally-Controlled Input to Select Classes or Code (Unsafe Reflection). CVSS score: 6.5/10. Published 2026-10-23.
- How severe is CVE-2026-115886?
- Medium severity. CVSS v3 base score is 6.5 out of 10.