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6f8de1f0-f67e-45a6-b68f-98777fdb759cNVD:CVE-2024-37056

HistoryJun 04, 2024 - 12:15 p.m.

CVE-2024-37056

2024-06-0412:15:11

CWE-502

6f8de1f0-f67e-45a6-b68f-98777fdb759c

web.nvd.nist.gov

cve-2024-37056

mlflow

deserialization

untrusted data

vulnerability

lightgbm

scikit-learn

arbitrary code

CVSS3

8.8

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

AI Score

8.8

Confidence

High

EPSS

Percentile

9.0%

JSON

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.

References

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

CVSS3

8.8

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

AI Score

8.8

Confidence

High

EPSS

Percentile

9.0%

JSON

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