Deserialization Of Untrusted Data

2024-06-1006:33:21

Veracode Vulnerability Database

sca.analysiscenter.veracode.com

mlflow

vulnerability

untrusted data

deserialization

input validation

pickle object

tensorflow

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

7.5

Confidence

High

EPSS

Percentile

9.0%

JSON

mlflow is vulnerable to Deserialization of Untrusted Data. The vulnerability is due to inadequate input validation in the _load_custom_objects function within mlflow/tensorflow/init.py, which allows attackers to execute arbitrary code by injecting a malicious pickle object into the Tensorflow model.