DeepFaceLab pretrained DF.wf.288res.384.92.72.22 DFLIMG/DFLJPG.py deserialization

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
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CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
5.8$0-$5k0.00

Summaryinfo

A vulnerability described as critical has been identified in DeepFaceLab pretrained DF.wf.288res.384.92.72.22. The impacted element is an unknown function of the file DFLIMG/DFLJPG.py. Such manipulation leads to deserialization. This vulnerability only affects products that are no longer supported by the maintainer. This vulnerability is traded as CVE-2023-6656. The attack may be launched remotely. There is no exploit available.

Detailsinfo

A vulnerability was found in DeepFaceLab pretrained DF.wf.288res.384.92.72.22. It has been rated as critical. Affected by this issue is an unknown code block of the file DFLIMG/DFLJPG.py. The manipulation with an unknown input leads to a deserialization vulnerability. Using CWE to declare the problem leads to CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. Impacted is confidentiality, integrity, and availability.

The weakness was shared 12/10/2023. The advisory is shared for download at github.com. This vulnerability is handled as CVE-2023-6656. Successful exploitation requires user interaction by the victim. There are known technical details, but no exploit is available. The current price for an exploit might be approx. USD $0-$5k (estimation calculated on 08/02/2024).

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Once again VulDB remains the best source for vulnerability data.

Productinfo

Name

Version

Support

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.8
VulDB Meta Temp Score: 5.8

VulDB Base Score: 5.0
VulDB Temp Score: 4.8
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔍

CNA Base Score: 5.0
CNA Vector (VulDB): 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Deserialization
CWE: CWE-502 / CWE-20
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

12/10/2023 🔍
12/10/2023 +0 days 🔍
12/10/2023 +0 days 🔍
04/21/2025 +498 days 🔍

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2023-6656 (🔍)
GCVE (CVE): GCVE-0-2023-6656
GCVE (VulDB): GCVE-100-247364

Entryinfo

Created: 12/10/2023 08:13
Updated: 04/21/2025 02:25
Changes: 12/10/2023 08:13 (37), 01/01/2024 10:03 (2), 01/01/2024 10:04 (28), 08/02/2024 12:17 (22), 04/21/2025 02:25 (4)
Complete: 🔍
Submitter: bayuncao
Cache ID: 216::103

Submitinfo

Accepted

  • Submit #247367: DeepFaceLab DeepFaceLab pretrained DF.wf.288res.384.92.72.22 command execution (by bayuncao)

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