Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.9.0 or newer, enabling a maliciously uploaded PyFunc model to run arbitrary code on an end user’s system when interacted with.
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Score 8.8 from GitHub Security Advisory (severity: HIGH) published 2024-06-04. NVD baseline CVSS 8.8; sources differ by 0.0.
Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.9.0 or newer, enabling a maliciously uploaded PyFunc model to run arbitrary code on an end user’s system when interacted with.
June 4, 2024
February 3, 2025
| Vendor / Ecosystem | Fixed in / Patch | Released | Source |
|---|---|---|---|
| pip | mlflow | — | ghsa |
Patches are aggregated from vendor advisories (Red Hat, Microsoft, Cisco, GitHub) and package ecosystems (OSV, GHSA). Multiple rows for the same upstream release have been deduplicated.
| Package | Vulnerable range | Fixed in | Dependents |
|---|---|---|---|
| mlflow | 0.9.0 ... 2.9.2 (87 versions) | — | — |
MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.
Every time one of our enrichment pipelines (NVD, MITRE cvelistV5, EPSS, CISA KEV, GHSA, OSV, vendor advisories) ran against this CVE. Most recent first.
Working exploit code is in the public domain (3 GitHub PoCs). Defenders should treat patch urgency accordingly — public PoCs typically lead to mass-exploitation within 24-72 hours.
PoC for CVE-2024-37054
Open source ↗NiteeshPujari/CVE-2024-37054, This repository contains a Proof of Concept (PoC) a critical deserialization vulnerability in MLflow that allows for Remote Code Execution (RCE).
Open source ↗See which npm, PyPI, Go, and Maven packages are affected by CVE-2024-37054
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pip:mlflow
CWE-502