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
7.3 High
AI Score
Confidence
High
0.0004 Low
EPSS
Percentile
9.1%
mlflow is vulnerable to Deserialization of Untrusted Data. The vulnerability is caused due to improper handling of serialized data in the _load_pyfunc
function within mlflow/pyfunc/model.py
. This flaw allows an attacker to inject a malicious pickle object into a PyFunc model file, which results in arbitrary code execution.
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
7.3 High
AI Score
Confidence
High
0.0004 Low
EPSS
Percentile
9.1%