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  5. CVE-2026-10803

CVE-2026-10803: MLflow: Deterministic sampling in dataset digest enables predictable collisions

June 4, 2026 (updated July 15, 2026)

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.

References

  • github.com/advisories/GHSA-5qmp-p3c4-72qj
  • github.com/mlflow/mlflow
  • github.com/mlflow/mlflow/issues/22419
  • github.com/mlflow/mlflow/pull/22420
  • github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2026-195.yaml
  • nvd.nist.gov/vuln/detail/CVE-2026-10803
  • vuldb.com/cve/CVE-2026-10803
  • vuldb.com/submit/831462
  • vuldb.com/vuln/368252
  • vuldb.com/vuln/368252/cti

Code Behaviors & Features

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Affected versions

All versions before 3.10.1

Fixed versions

  • 3.10.1

Solution

Upgrade to version 3.10.1 or above.

Impact 3.6 LOW

CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:L

Learn more about CVSS

Weakness

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

Source file

pypi/mlflow/CVE-2026-10803.yml

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