Deserialization Of Untrusted Data

2024-06-1405:12:26

Veracode Vulnerability Database

sca.analysiscenter.veracode.com

deserialization

untrusted data

validation

pyfunc model

arbitrary code

pickle object

security

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

7.9

Confidence

High

EPSS

Percentile

9.0%

JSON

mlflow is vulnerable to Deserialization of Untrusted Data. The vulnerability is caused by a lack of proper validation of untrusted data in the _load_model function within the pmdarima/__init__.py file, allowing an attacker to execute arbitrary code by injecting a malicious pickle object into a PyFunc model.