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Security Advisories: GSA_kwCzR0hTQS03NmNnLWNmaHgtMzczZs4AA8rk
MLFlow unsafe deserialization
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with.
Permalink: https://github.com/advisories/GHSA-76cg-cfhx-373fJSON: https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS03NmNnLWNmaHgtMzczZs4AA8rk
Source: GitHub Advisory Database
Origin: Unspecified
Severity: High
Classification: General
Published: 3 months ago
Updated: 3 months ago
CVSS Score: 8.8
CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Identifiers: GHSA-76cg-cfhx-373f, CVE-2024-37052
References:
- https://nvd.nist.gov/vuln/detail/CVE-2024-37052
- https://hiddenlayer.com/sai-security-advisory/mlflow-june2024
- https://github.com/advisories/GHSA-76cg-cfhx-373f
Affected Packages
pypi:mlflow
Dependent packages: 360Dependent repositories: 5,089
Downloads: 14,695,634 last month
Affected Version Ranges: >= 1.1.0, <= 2.14.1
No known fixed version
All affected versions: 1.1.0, 1.2.0, 1.3.0, 1.4.0, 1.5.0, 1.6.0, 1.7.0, 1.7.1, 1.7.2, 1.8.0, 1.9.0, 1.9.1, 1.10.0, 1.11.0, 1.12.0, 1.12.1, 1.13.1, 1.14.0, 1.14.1, 1.15.0, 1.16.0, 1.17.0, 1.18.0, 1.19.0, 1.20.0, 1.20.1, 1.20.2, 1.21.0, 1.22.0, 1.23.0, 1.23.1, 1.24.0, 1.25.0, 1.25.1, 1.26.0, 1.26.1, 1.27.0, 1.28.0, 1.29.0, 1.30.0, 1.30.1, 2.0.0, 2.0.1, 2.1.0, 2.1.1, 2.2.0, 2.2.1, 2.2.2, 2.3.0, 2.3.1, 2.3.2, 2.4.0, 2.4.1, 2.4.2, 2.5.0, 2.6.0, 2.7.0, 2.7.1, 2.8.0, 2.8.1, 2.9.0, 2.9.1, 2.9.2, 2.10.0, 2.10.1, 2.10.2, 2.11.0, 2.11.1, 2.11.2, 2.11.3, 2.11.4, 2.12.0, 2.12.1, 2.12.2, 2.13.0, 2.13.1, 2.13.2, 2.14.0, 2.14.1