CVE-2026-10803 MLflow Dataset Digest Computation digest_utils.py mlflow.data.digest_utils weak hash

Low 2.0 Published Updated

An attacker with local access can exploit weak hashing in MLflow dataset digests to potentially bypass integrity checks.

Exploited in the wild
Not known
Login needed
Any signed-in user
Attackable
Local or same network only
Victim action needed
Not needed
Fix
Available

What is CVE-2026-10803?

CVE-2026-10803 is a low-severity vulnerability in Lfprojects Mlflow, published on 4 Jun 2026. It can only be exploited from the same machine or local network, with no action from the victim.

Official 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.

Weakness: CWE-328, CWE-327

Which versions are affected by CVE-2026-10803?

4 open source packages ship an affected version, including mlflow. It affects 1 product.

PackageAffectedFixed in
mlflow BitnamiAll versions3.10.1
mlflow PyPIAll versions3.10.1
mlflow PyPIAll versions3.10.1
mlflow PyPIAll versions3.10.1

Products include Lfprojects Mlflow.

How do I fix CVE-2026-10803?

Upgrade mlflow to 3.10.1 or later.

Is CVE-2026-10803 being exploited?

It is not confirmed as exploited in the wild, but public exploit code for CVE-2026-10803 exists.

All Lfprojects Mlflow vulnerabilities

Sources

Also known as BIT-mlflow-2026-10803, GHSA-5qmp-p3c4-72qj, PYSEC-2026-195.

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