Machine-written summary
Summary written by Claude Haiku from the source advisory. Not reviewed by a person.
Mlflow versions before 3.9.0 are vulnerable to command injection when serving a model with enable_mlserver=True. The model_uri is placed unsanitized into a shell command, so an attacker who can supply a crafted model_uri can run arbitrary commands, and privilege escalation is possible if a higher-privileged service serves models from a directory that lower-privileged users can write to. Upgrade to Mlflow 3.9.0 or later.
Not analysed yet
We haven’t published our analysis of this Advisory yet. Once a person has reviewed it, this page will say what’s vulnerable, what has to be true for your app to be affected, and how to check.
Severity and exploitation
| Score | Rating | CVSS | Vector | Source |
|---|---|---|---|---|
| 9.6 | Critical | 3.0 | CVSS:3.0/AV:A/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H | CNA (@huntr_ai) |
- CISA KEV Not listed.
- EPSS 0.014, the 72nd percentile, on 14 Nov 2026: FIRST’s estimate of the chance of exploitation in the next 30 days.
Timeline
Sources
- GitHub Advisory Database: GHSA-rvhj-8chj-8v3c
- OSV: GHSA-rvhj-8chj-8v3c
- nvd.nist.gov/vuln/detail/CVE-2026-0596
- github.com/mlflow/mlflow/pull/19738
- github.com/mlflow/mlflow/commit/202fac4c83ccc8544c087c142b80196d0e60695c
- github.com/mlflow/mlflow
- huntr.com/bounties/2e905add-f9f5-4309-a3db-b17de5981285
- pypi.org/project/mlflow
- github.com/advisories/GHSA-rvhj-8chj-8v3c