CVE-2026-116690: mlflow · Path Traversal
Affects mlflowSource CVE Database V5
Not known to be exploited · CVSS 7.5 High : upgrade to 3.17.0 soon.
Data as of 27 Oct 2026, 20:12 UTC
- Patch
- Available – fixed in 3.17.0
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:NExploitation evidence
Disclosed: evidence found.
CVE published 27 Oct 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.
What to do
Upgrade mlflow to 3.17.0.
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| mlflowmlflow | Affected
| Fixed in
|
Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.
AI-suggested
Upgrade MLflow to version 3.17.0 or later, where this vulnerability is fixed. No other mitigations are indicated by the vendor advisory. If upgrading immediately is not possible, restrict access to the MLflow server to trusted users and networks to reduce exposure.
Description
MLflow versions from 3.10.0 up to but not including 3.17.0 contain a path traversal vulnerability in the _create_model_version() function. This flaw allows remote attackers to read arbitrary files on the MLflow server by storing a server-local path as the model version artifact location and accessing it via the model-versions API. Unauthenticated servers are fully exposed, while basic-auth servers expose this to authenticated users who can create registered models. The issue is resolved in version 3.17.0.
References
- github.com/mlflow/mlflow/security/advisories/GHSA-m65p-9j7q-6w33 (opens in a new tab)
- github.com/mlflow/mlflow/pull/25870 (opens in a new tab)
- github.com/mlflow/mlflow/commit/81730a2ce4ebcd60d5d18f68c96f422ad7e30772 (opens in a new tab)
- github.com/mlflow/mlflow/releases/tag/v3.17.0 (opens in a new tab)