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.
Affected products
| Vendor | Product | Affected | Fixed |
|---|---|---|---|
| mlflow | mlflow/mlflow | unspecified – ≤ latest | — |
Public exploits
Exploit or proof-of-concept code for this vulnerability is publicly available, which lowers the bar for attackers. Treat it as a reason to patch sooner.
GitHub 1 repository
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SparshBiswas-AI/CVE-2026-0596-Reproduction ★ 0 · May 18, 2026
Research environment and validation scripts for evaluating deserialization behaviors in MLflow and MLServer.
Sources: PoC-in-GitHub, Metasploit Framework, Exploit-DB — updated daily. Only links are listed; no exploit code is hosted here.
Affected packages
| Ecosystem | Package | Affected | Fixed | Record |
|---|---|---|---|---|
| PyPI | mlflow | < 3.9.0 | 3.9.0 | GHSA-rvhj-8chj-8v3c |