---
id: CVE-2026-10766
aliases:
  - GHSA-phx2-3w66-h4pw
title: >-
  mlrun: DataFrame hash collisions can cause dataset artifact path conflicts and
  silent data corruption
summary: >-
  mlrun: DataFrame hash collisions can cause dataset artifact path conflicts and
  silent data corruption
severity: low
cvss: 3.6
cvssVector: 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:L'
vendor: mlrun
product: mlrun
ecosystem: pip
affected:
  - mlrun <= 1.12.0rc3
published: '2026-06-03'
updated: '2026-07-14'
source: OSV
sourceUrl: 'https://osv.dev/vulnerability/GHSA-phx2-3w66-h4pw'
references:
  - url: 'https://nvd.nist.gov/vuln/detail/CVE-2026-10766'
  - url: 'https://github.com/mlrun/mlrun/issues/9691'
  - url: 'https://github.com/mlrun/mlrun/pull/9692'
  - url: 'https://github.com/mlrun/mlrun'
  - url: 'https://vuldb.com/cve/CVE-2026-10766'
  - url: 'https://vuldb.com/submit/831419'
  - url: 'https://vuldb.com/vuln/368136'
  - url: 'https://vuldb.com/vuln/368136/cti'
tags:
  - osv
  - pip
epss: 0.00075
epssPercentile: 0.00079
ingestedAt: '2026-07-15T03:19:00.531Z'
---

## Overview

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 packages

- `mlrun <= 1.12.0rc3`

## Remediation

Refer to the advisory for the patched release.