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githubGitHub Advisory DatabaseGHSA-7P8J-QV6X-F4G4
HistoryJun 04, 2024 - 12:31 p.m.

MLFlow unsafe deserialization

2024-06-0412:31:04
CWE-502
GitHub Advisory Database
github.com
8
mlflow platform
unsafe deserialization
untrusted data
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

0

Percentile

9.0%

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.

Affected configurations

Vulners
Node
mlflowmlflowRange1.23.02.14.1
VendorProductVersionCPE
mlflowmlflow*cpe:2.3:a:mlflow:mlflow:*:*:*:*:*:*:*:*

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

0

Percentile

9.0%