CVE-2024-37054Public exploitNetwork attack vector

Code execution via untrusted PyFunc CloudPickle load

Published Jun 4, 2024 · Updated Aug 2, 2024

Unsafe deserialization in MLflow 0.9.0 and later allows remote attackers to execute code through a malicious PyFunc model. The _load_context_model_and_signature function in mlflow/pyfunc/model.py passes the model's serialized Python object directly to cloudpickle.load without validating its origin or contents. Execution occurs with the end user's process privileges only after that user loads the attacker-supplied model.

CVSS severity8.8
High
EPSS probability0.70%
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 0.9.0 and later allows remote attackers to execute code through a malicious PyFunc model. The _load_context_model_and_signature function in mlflow/pyfunc/model.py passes the model's serialized Python object directly to cloudpickle.load without validating its origin or contents. Execution occurs with the end user's process privileges only after that user loads the attacker-supplied model.

The record

CVE
CVE-2024-37054
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=0.9.0 <=*

What conditions does exploitation require?

Attack vectornetwork
Required privilegesunauthenticated

What is affected?

MLflow Project · MLflowversion=0.9.0 <=*

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 9, 2026Sep 15, 2026
Latest reporting daySep 15, 2026
Latest daily unique IPsUnavailable
Prior 30-day averageUnavailable
SourceShadowserver honeypots (KEV)
Vectornetwork
Privilegesunauthenticated
Known exploitationUnconfirmed
Public exploitPublished

Weakness, pattern, technique

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

Public exploit references

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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