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GitHub Advisory DatabaseGHSA-GHV6-9R9J-WH4J

HistoryJun 04, 2024 - 12:31 p.m.

MLFlow unsafe deserialization

2024-06-0412:31:04

CWE-502

GitHub Advisory Database

github.com

mlflow

unsafe deserialization

untrusted data

pyfunc model

arbitrary code

software

8.8 High

CVSS3

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

REQUIRED

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

8.8 High

AI Score

Confidence

High

0.0004 Low

EPSS

Percentile

9.1%

JSON

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.

Affected configurations

Vulners

Node

lfprojectsmlflowRange0.9.0≥

lfprojectsmlflowRange≤2.14.1

CPENameOperatorVersion
mlflowge0.9.0
mlflowle2.14.1

CPE	Name	Operator	Version
	mlflow	ge	0.9.0
	mlflow	le	2.14.1

References

github.com/advisories/GHSA-ghv6-9r9j-wh4j

hiddenlayer.com/sai-security-advisory/mlflow-june2024

nvd.nist.gov/vuln/detail/CVE-2024-37054

8.8 High

CVSS3

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

REQUIRED

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

8.8 High

AI Score

Confidence

High

0.0004 Low

EPSS

Percentile

9.1%

JSON

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