What is the CVSS score of CVE-2024-0654?

CVE-2024-0654 has a CVSS 3.1 base score of 7.8 (High). CVSS vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H. EPSS exploitation probability: 0.3%.

Deepfacelab CVE-2024-0654

HIGH

Deserialization of Untrusted Data (CWE-502)

2024-01-18 cna@vuldb.com

Deserialization Deepfacelab

7.8

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

7.8 HIGH

AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Attack Vector

Local

Attack Complexity

Low

Privileges Required

Low

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

High

Lifecycle Timeline

CVE Published

Jan 18, 2024 - 01:15 nvd

HIGH 7.8

DescriptionNVD

A vulnerability, which was classified as problematic, was found in DeepFaceLab pretrained DF.wf.288res.384.92.72.22. Affected is an unknown function of the file mainscripts/Util.py. The manipulation leads to deserialization. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used. VDB-251382 is the identifier assigned to this vulnerability.

AnalysisAI

A vulnerability, which was classified as problematic, was found in DeepFaceLab pretrained DF.wf.288res.384.92.72.22. Rated high severity (CVSS 7.8), this vulnerability is low attack complexity. No vendor patch available.

Technical ContextAI

This vulnerability is classified as Deserialization of Untrusted Data (CWE-502), which allows attackers to execute arbitrary code through malicious serialized objects. A vulnerability, which was classified as problematic, was found in DeepFaceLab pretrained DF.wf.288res.384.92.72.22. Affected is an unknown function of the file mainscripts/Util.py. The manipulation leads to deserialization. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used. VDB-251382 is the identifier assigned to this vulnerability. Affected products include: Iperov Deepfacelab.

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Avoid deserializing untrusted data. Use safe serialization formats (JSON). Implement integrity checks and type allowlists.