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CVE-2026-10766: mlrun: DataFrame hash collisions can cause dataset artifact path conflicts and silent data corruption

June 3, 2026 (updated July 14, 2026)

A vulnerability has been found in mlrun up to 1.12.0-rc3. This impacts the function mlrun.utils.helpers.calculate_dataframe_hash of the file mlrun/utils/helpers.py of the component DataFrame Hash Handler. The manipulation leads to use of weak hash. The attack can only be performed from a local environment. The complexity of an attack is rather high. The exploitability is said to be difficult. The exploit has been disclosed to the public and may be used. The pull request to fix this issue awaits acceptance.

References

  • github.com/advisories/GHSA-phx2-3w66-h4pw
  • github.com/mlrun/mlrun
  • github.com/mlrun/mlrun/issues/9691
  • github.com/mlrun/mlrun/pull/9692
  • nvd.nist.gov/vuln/detail/CVE-2026-10766
  • vuldb.com/cve/CVE-2026-10766
  • vuldb.com/submit/831419
  • vuldb.com/vuln/368136
  • vuldb.com/vuln/368136/cti

Code Behaviors & Features

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Affected versions

All versions up to 1.12.0-rc.3

Solution

Unfortunately, there is no solution available yet.

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/mlrun/CVE-2026-10766.yml

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