CVE-2026-10803Low· 3.6▾ SunlitMLflow: Deterministic sampling in dataset digest enables predictable collisions
▾ Sunlit zone — Low / medium · no exploitation signal
impact 19.8 · likelihood 0 · exploitation 0
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Exploit-prediction probability, daily snapshots since Jul 16.
Disclosure to exploitation, from the record and what we observed since indexing it.
Disclosed via OSV
Last analysed / modified upstream
0.1%
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.
mlflow < 3.10.1Upgrade to a patched release:
mlflow 3.10.1Connected by shared product, vendor, weakness, or advisory.
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