CVE-2024-37056
First published: Tue Jun 04 2024(Updated: )
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.23.0 or newer, enabling a maliciously uploaded LightGBM scikit-learn model to run arbitrary code on an end user’s system when interacted with.
Credit: 6f8de1f0-f67e-45a6-b68f-98777fdb759c 6f8de1f0-f67e-45a6-b68f-98777fdb759c
| Affected Software | Affected Version | How to fix |
|---|---|---|
| pip/mlflow | >=1.23.0<=2.13.1 | |
| pip/mlflow | >=1.23.0<=2.14.1 | |
| MLflow | >=1.23.0 |
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Reference Links
Frequently Asked Questions
What is the severity of CVE-2024-37056?
CVE-2024-37056 is considered a high severity vulnerability due to the potential for arbitrary code execution.
How do I fix CVE-2024-37056?
To fix CVE-2024-37056, upgrade to a version of MLflow that is newer than 2.14.1.
What types of attacks are possible with CVE-2024-37056?
CVE-2024-37056 allows a malicious user to upload a LightGBM scikit-learn model that can execute arbitrary code.
Which versions of MLflow are affected by CVE-2024-37056?
MLflow versions from 1.23.0 up to 2.14.1 are affected by CVE-2024-37056.
How does CVE-2024-37056 impact user systems?
CVE-2024-37056 allows untrusted data deserialization, leading to possible arbitrary code execution on user systems.
- agent/type
- agent/first-publish-date
- agent/weakness
- agent/description
- agent/severity
- agent/references
- collector/nvd-cve
- source/NVD
- agent/author
- collector/github-advisory
- source/GitHub
- alias/GHSA-7p8j-qv6x-f4g4
- alias/CVE-2024-37056
- agent/software-canonical-lookup
- collector/github-advisory-latest
- collector/mitre-cve
- source/MITRE
- agent/trending
- agent/source
- collector/nvd-api
- agent/last-modified-date
- agent/softwarecombine
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- agent/event
- package-manager/pip
- vendor/lfprojects
- canonical/mlflow
- version/mlflow/1.23.0