GitHub Advisoryadvisory · PyPI
GHSA-8c7q-86fq-vvmh MLflow allows unauthorized access to multipart upload endpoints when the `--serve-artifacts` mode is enabled
CRITICAL
Official page ↗
- Aliases
- CVE-2026-2651
- Ecosystem
- PyPI
- Packages
- mlflow
- Severity
- Critical
- CVSS vector
- CVSS:3.0/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:H
- Weaknesses
- CWE-1220, CWE-862
- Reviewed
- 2026-06-30
Affected packages
• PyPI mlflow: < 3.10.0 → fixed in 3.10.0
Description
A vulnerability in MLflow versions <=3.10.1.dev0 allows unauthorized access to multipart upload (MPU) endpoints when the `--serve-artifacts` mode is enabled. The authorization logic does not enforce resource-level permission checks for `/mlflow-artifacts/mpu/*` endpoints, enabling attackers to overwrite artifacts belonging to other users. This can lead to unauthorized cross-user writes, model supply chain poisoning, and arbitrary code execution when compromised models are loaded. The issue is resolved in version 3.10.0.
Related
Alias · CVE (1)
- CVE-2026-2651 A vulnerability in MLflow versions <=3.10.1.dev0 allows unauthorized access to multipart upload (MPU) endpoints when the… vulnerability
References
- https://nvd.nist.gov/vuln/detail/CVE-2026-2651 advisory
- https://github.com/mlflow/mlflow/commit/d7290811d8f3c95366d80109424edc1fb1ad966f web
- https://access.redhat.com/security/cve/CVE-2026-2651 web
- https://bugzilla.redhat.com/show_bug.cgi?id=2481117 web
- https://github.com/advisories/GHSA-8c7q-86fq-vvmh advisory
- https://github.com/mlflow/mlflow package
- https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2026-2220.yaml web
- https://huntr.com/bounties/65beb119-d3e0-4e03-af2f-fa98f78f83dc web
- https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-2651.json web