MLflowGHSA-5qmp-p3c4-72qj
MLflow: Deterministic sampling in dataset digest enables predictable collisions
Fix: upgrade to 3.10.1 or later
A flaw has been found in MLflow up to 3.10.0. This issue affects the function mlflow.data.digest_utils of the file mlflow/data/digest_utils.py of the component Dataset Digest Computation. This manipulation causes use of weak hash. It is possible to launch the attack on the local host. The attack is considered to have high complexity. The exploitability is assessed as difficult. The exploit has been published and may be used. The project was informed of the problem early through a pull request but has not reacted yet.
Affected versions
| Package | Affected | Fixed in |
|---|---|---|
| mlflow PyPI | < 3.10.1 | 3.10.1 |
Details and references
- CVSS 3.1
- CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:L
- Severity from
- GitHub (reviewed advisory)
- Weakness
- CWE-327
- Also known as
- BIT-mlflow-2026-10803, CVE-2026-10803, PYSEC-2026-195
- nvd.nist.gov/vuln/detail/CVE-2026-10803
- github.com/mlflow/mlflow/issues/22419
- github.com/mlflow/mlflow/pull/22420
- github.com/mlflow/mlflow
- github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2026-195.yaml
- vuldb.com/cve/CVE-2026-10803
- vuldb.com/submit/831462
- vuldb.com/vuln/368252
- vuldb.com/vuln/368252/cti