GitHub Advisoryadvisory · PyPI
GHSA-wqmh-qccw-pqwf MLflow FileStore trace IDs allow path traversal and arbitrary file writes
HIGH
Official page ↗
- Aliases
- CVE-2026-53995
- Ecosystem
- PyPI
- Packages
- mlflow
- Severity
- High
- CVSS vector
- CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:L
- Weaknesses
- CWE-22
- Reviewed
- 2026-10-23
Affected packages
• PyPI mlflow: < 3.17.2 → fixed in 3.17.2
Description
MLflow 3.17.1 and earlier contains a path traversal vulnerability in the FileStore tracking backend that allows unauthenticated attackers to control filesystem paths by submitting a crafted trace ID containing traversal sequences to the POST /api/3.0/mlflow/traces endpoint. Attackers can exploit FileStore.start_trace() to write trace_info.yaml, request_metadata, and tag files with attacker-controlled metadata outside the intended experiment trace directory, subject to the server process's filesystem permissions. FileStore is the default tracking backend before MLflow 3.7.0 and opt-in thereafter (the default changed to a SQLite database), so deployments in the earlier part of the affected range are vulnerable without special configuration while later ones are affected only when FileStore is explicitly selected.
Related
Alias · CVE (1)
- CVE-2026-53995 MLflow 3.17.1 and earlier contains a path traversal vulnerability in the FileStore tracking backend that allows unauthenticated attackers… vulnerability
Weakness · CWE (1)
- CWE-22 Improper Limitation of a Pathname to a Restricted Directory weakness
References
- https://nvd.nist.gov/vuln/detail/CVE-2026-53995 advisory
- https://github.com/mlflow/mlflow/issues/26979 web
- https://github.com/mlflow/mlflow/pull/26842 web
- https://github.com/mlflow/mlflow/commit/31ff9e56f5038d61ec75344518912945f60dffec web
- https://github.com/SaiTeja-Erukude/CVE-2026-53995-mlflow-path-traversal web
- https://github.com/mlflow/mlflow/releases/tag/v3.17.2 web
- https://www.vulncheck.com/advisories/mlflow-path-traversal-via-trace-id-api web