{"id":"PYSEC-2026-424","summary":"Mlflow: Command Injection when serving models with enable_mlserver=True","details":"A command injection vulnerability exists in 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.","aliases":["BIT-mlflow-2026-0596","CVE-2026-0596","GHSA-rvhj-8chj-8v3c"],"modified":"2026-07-01T20:22:58.365246Z","published":"2026-06-29T11:50:45.250459Z","references":[{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2026-0596"},{"type":"WEB","url":"https://github.com/mlflow/mlflow/pull/19738"},{"type":"WEB","url":"https://github.com/mlflow/mlflow/commit/202fac4c83ccc8544c087c142b80196d0e60695c"},{"type":"PACKAGE","url":"https://github.com/mlflow/mlflow"},{"type":"WEB","url":"https://huntr.com/bounties/2e905add-f9f5-4309-a3db-b17de5981285"},{"type":"PACKAGE","url":"https://pypi.org/project/mlflow"},{"type":"ADVISORY","url":"https://github.com/advisories/GHSA-rvhj-8chj-8v3c"}],"affected":[{"package":{"name":"mlflow","ecosystem":"PyPI","purl":"pkg:pypi/mlflow"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"3.9.0"}]}],"versions":["0.0.1","0.1.0","0.2.0","0.2.1","0.3.0","0.4.0","0.4.1","0.4.2","0.5.0","0.5.1","0.5.2","0.6.0","0.7.0","0.8.0","0.8.1","0.8.2","0.9.0","0.9.0.1","0.9.1","1.0.0","1.1.0","1.1.1.dev0","1.10.0","1.11.0","1.12.0","1.12.1","1.13","1.13.1","1.14.0","1.14.1","1.15.0","1.16.0","1.17.0","1.18.0","1.19.0","1.2.0","1.20.0","1.20.1","1.20.2","1.21.0","1.22.0","1.23.0","1.23.1","1.24.0","1.25.0","1.25.1","1.26.0","1.26.1","1.27.0","1.28.0","1.29.0","1.3.0","1.30.0","1.30.1","1.4.0","1.5.0","1.6.0","1.7.0","1.7.1","1.7.2","1.8.0","1.9.0","1.9.1","2.0.0","2.0.0rc0","2.0.1","2.1.0","2.1.1","2.10.0","2.10.1","2.10.2","2.11.0","2.11.1","2.11.2","2.11.3","2.11.4","2.12.0","2.12.1","2.12.2","2.13.0","2.13.1","2.13.2","2.14.0","2.14.0rc0","2.14.1","2.14.2","2.14.2.dev0","2.14.3","2.15.0","2.15.0rc0","2.15.1","2.16.0","2.16.1","2.16.2","2.17.0","2.17.0rc0","2.17.1","2.17.2","2.18.0","2.18.0rc0","2.19.0","2.19.0rc0","2.2.0","2.2.1","2.2.2","2.20.0","2.20.0rc0","2.20.1","2.20.2","2.20.3","2.20.4","2.21.0","2.21.0rc0","2.21.1","2.21.2","2.21.3","2.22.0","2.22.0rc0","2.22.1","2.22.2","2.22.3","2.22.4","2.22.5","2.3.0","2.3.1","2.3.2","2.4.0","2.4.1","2.4.2","2.5.0","2.6.0","2.7.0","2.7.1","2.8.0","2.8.1","2.9.0","2.9.1","2.9.2","3.0.0","3.0.0rc0","3.0.0rc1","3.0.0rc2","3.0.0rc3","3.0.1","3.1.0","3.1.0rc0","3.1.1","3.1.2","3.1.3","3.1.4","3.2.0","3.2.0rc0","3.3.0","3.3.0rc0","3.3.1","3.3.2","3.4.0","3.4.0rc0","3.5.0","3.5.0rc0","3.5.1","3.6.0","3.6.0rc0","3.7.0","3.7.0rc0","3.8.0","3.8.0rc0","3.8.1","3.9.0rc0"],"database_specific":{"source":"https://github.com/pypa/advisory-database/blob/main/vulns/mlflow/PYSEC-2026-424.yaml"}}],"schema_version":"1.7.5","severity":[{"type":"CVSS_V3","score":"CVSS:3.0/AV:A/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H"}]}