GitHub Advisoryadvisory · PyPI

GHSA-5qmp-p3c4-72qj MLflow: Deterministic sampling in dataset digest enables predictable collisions

LOW Published 2026-06-04 Modified 2026-07-15 Official page ↗
Aliases
CVE-2026-10803
Ecosystem
PyPI
Packages
mlflow
Severity
Low
CVSS vector
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:L
Weaknesses
CWE-327
Reviewed
2026-07-15

Affected packages

• PyPI mlflow: < 3.10.1 → fixed in 3.10.1

Description

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.

Related

Alias · CVE (1)

  • CVE-2026-10803 A flaw has been found in MLflow up to 3.10.0. vulnerability

Weakness · CWE (1)

  • CWE-327 Use of a Broken or Risky Cryptographic Algorithm weakness

References