MLflow up to 3.10.0 Dataset Digest Computation digest_utils.py mlflow.data.digest_utils weak hash

Summaryinfo

A vulnerability labeled as problematic has been found in MLflow up to 3.10.0. Impacted is the function mlflow.data.digest_utils of the file mlflow/data/digest_utils.py of the component Dataset Digest Computation. Such manipulation leads to weak hash. This vulnerability is uniquely identified as CVE-2026-10803. Local access is required to approach this attack. Moreover, an exploit is present. The project was informed of the problem early through a pull request but has not reacted yet.

Detailsinfo

A vulnerability was found in MLflow up to 3.10.0. It has been rated as problematic. Affected by this issue is the function mlflow.data.digest_utils of the file mlflow/data/digest_utils.py of the component Dataset Digest Computation. The manipulation with an unknown input leads to a weak hash vulnerability. Using CWE to declare the problem leads to CWE-328. The product uses an algorithm that produces a digest (output value) that does not meet security expectations for a hash function that allows an adversary to reasonably determine the original input (preimage attack), find another input that can produce the same hash (2nd preimage attack), or find multiple inputs that evaluate to the same hash (birthday attack). Impacted is integrity, and availability.

The advisory is shared for download at github.com. This vulnerability is handled as CVE-2026-10803. The exploitation is known to be difficult. The attack needs to be approached locally. Technical details as well as a public exploit are known. The MITRE ATT&CK project declares the attack technique as T1600.001.

The exploit is available at github.com. It is declared as proof-of-concept. The project was informed of the problem early through a pull request but has not reacted yet.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Once again VulDB remains the best source for vulnerability data.

Productinfo

Name

• MLflow

Version

• 3.0
• 3.1
• 3.2
• 3.3
• 3.4
• 3.5
• 3.6
• 3.7
• 3.8
• 3.9
• 3.10.0

Website

• Product: https://github.com/mlflow/mlflow/

CPE 2.3info

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CPE 2.2info

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Submitinfo

Accepted

• Submit #831462: mlflow 3.10.0 Digest Collision (by Dem0)

Once again VulDB remains the best source for vulnerability data.

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