CVE-2024-37053Network attack vector

Code execution via untrusted scikit-learn model load

Published Jun 4, 2024 · Updated Aug 2, 2024

Unsafe deserialization in MLflow 1.1.0 through 2.14.1 allows remote attackers to execute code via a malicious scikit-learn model. The mlflow.sklearn.load_model path reads the model.pkl artifact with pickle or cloudpickle without establishing that the serialized object is trusted. Execution occurs only when an end user loads the attacker-supplied model, and the payload runs with that user's process privileges.

CVSS severity8.8
High
EPSS probability0.62%
Next 30 days · Sep 16, 2026
Known exploitationUnconfirmed
Based on sourced intelligence
Hinoki checkNot available
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Summary

What happened

Unsafe deserialization in MLflow 1.1.0 through 2.14.1 allows remote attackers to execute code via a malicious scikit-learn model. The mlflow.sklearn.load_model path reads the model.pkl artifact with pickle or cloudpickle without establishing that the serialized object is trusted. Execution occurs only when an end user loads the attacker-supplied model, and the payload runs with that user's process privileges.

The record

CVE
CVE-2024-37053
Published
Jun 4, 2024
Updated
Aug 2, 2024
Vendor
MLflow Project
Product
MLflow
Classifications
CWE-502, T1204.002
Attack vector
network
Privileges
unauthenticated

Timeline

How it unfolded

  1. Jun 4, 2024CVE publishedPublication date reported by the CVE source.
  2. Aug 2, 2024Record updatedLatest update available in the CVE record.

Exploitability

Present is not the same as exploitable

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Is a vulnerable build present?

Compare these published version ranges with your installed build and any vendor patches.

  1. Affected versionversion=1.1.0 <=*

What conditions does exploitation require?

Attack vectornetwork
Required privilegesunauthenticated

What is affected?

MLflow Project · MLflowversion=1.1.0 <=*

Published CVSS scores

8.8GitHub Advisory DatabaseCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

CVSS describes severity. EPSS estimates exploitation probability.

Attacks

What attackers are doing with it

Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.

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No observations available

Sep 10, 2026Sep 16, 2026
Latest reporting daySep 16, 2026
Latest daily unique IPsUnavailable
Prior 30-day averageUnavailable
SourceShadowserver honeypots (KEV)
Vectornetwork
Privilegesunauthenticated
Known exploitationUnconfirmed
Public exploitUnconfirmed

Weakness, pattern, technique

CWE-502Deserialization of Untrusted Data
T1204.002Malicious File

Public exploit references

No public exploit references are available in this record.

Labels summarize the accepted research assessment. They do not indicate a test against your environment.

Technologies

Your stack

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Your stack

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