CVE-2026-2651: MLflow allows unauthorized access to multipart upload endpoints when the `--serve-artifacts` mode is enabled
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.
Published May 26, 2026 · Updated Oct 6, 2026
Affected packages
mlflow
- Ecosystem
- PyPI
- Affected
- < 3.10.0
- Fixed in
- 3.10.0
- Check
pip show mlflow
Advisory details
From the GitHub Advisory Database (CC BY 4.0).
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.
Credited to klaudialax.
References
- https://nvd.nist.gov/vuln/detail/CVE-2026-2651
- https://github.com/mlflow/mlflow/commit/d7290811d8f3c95366d80109424edc1fb1ad966f
- https://huntr.com/bounties/65beb119-d3e0-4e03-af2f-fa98f78f83dc
- https://access.redhat.com/security/cve/CVE-2026-2651
- https://bugzilla.redhat.com/show_bug.cgi?id=2481117
- https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-2651.json
- https://github.com/advisories/GHSA-8c7q-86fq-vvmh
- https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2026-2220.yaml
How this page is made: the data panel comes from the GitHub Advisory Database, CISA’s KEV catalog, the NVD and FIRST EPSS, and updates twice a day. No analysis has been written for this entry yet. Methodology
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