mlrun: DataFrame hash collisions can cause dataset artifact path conflicts and silent data corruption
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.
Affected software
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| Platform | Package | Vulnerable versions | Fixed in |
|---|---|---|---|
| Python (PyPI) | mlrun | <= 1.12.0rc3 | no fix |
References
- https://nvd.nist.gov/vuln/detail/CVE-2026-10766
- https://github.com/mlrun/mlrun/issues/9691
- https://github.com/mlrun/mlrun/pull/9692
- https://github.com/mlrun/mlrun
- https://vuldb.com/cve/CVE-2026-10766
- https://vuldb.com/submit/831419
- https://vuldb.com/vuln/368136
- https://vuldb.com/vuln/368136/cti
- https://pypi.org/project/mlrun
- https://github.com/advisories/GHSA-phx2-3w66-h4pw
- CVSS vector
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:L- Weakness (CWE)
CWE-327- Platform
- Python (PyPI)
- Package
mlrun- Disclosed
- 03.06.2026
- Updated
- 11.10.2026 14:18
Sources and licenses
OSV / GitHub Advisory Database - PYSEC-2026-3487 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-phx2-3w66-h4pw - CC BY 4.0
Vulnerability history: mlrun
All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.
This is the only known vulnerability of this package.
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