DeepFaceLab pretrained DF.wf.288res.384.92.72.22 main.py apply_xseg deserialization
CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
---|---|---|
4.8 | $0-$5k | 0.08 |
A vulnerability was found in DeepFaceLab pretrained DF.wf.288res.384.92.72.22 and classified as problematic. This issue affects the function apply_xseg
of the file main.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 released 02/10/2024. It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2024-1432. It demands that the victim is doing some kind of user interaction. Technical details as well as a public exploit are known.
The exploit is available at github.com. It is declared as proof-of-concept.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Name
Version
Support
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.0VulDB Meta Temp Score: 4.8
VulDB Base Score: 5.0
VulDB Temp Score: 4.6
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 5.0
CNA Vector (VulDB): 🔍
CVSSv2
AV | AC | Au | C | I | A |
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💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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unlock | unlock | unlock | unlock | unlock | unlock |
unlock | unlock | unlock | unlock | unlock | unlock |
unlock | unlock | unlock | unlock | unlock | unlock |
VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: DeserializationCWE: CWE-502 / CWE-20
CAPEC: 🔍
ATT&CK: 🔍
Local: No
Remote: Yes
Availability: 🔍
Access: Public
Status: Proof-of-Concept
Download: 🔍
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
0-Day | unlock | unlock | unlock | unlock |
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Today | unlock | unlock | unlock | unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
02/10/2024 🔍02/10/2024 🔍
02/10/2024 🔍
04/20/2025 🔍
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2024-1432 (🔍)
GCVE (CVE): GCVE-0-2024-1432
GCVE (VulDB): GCVE-100-253391
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 02/10/2024 11:39 AMUpdated: 04/20/2025 01:58 AM
Changes: 02/10/2024 11:39 AM (41), 03/03/2024 12:46 PM (2), 03/03/2024 12:52 PM (18), 08/02/2024 12:53 PM (23), 04/20/2025 01:58 AM (3)
Complete: 🔍
Submitter: bayuncao
Cache ID: 18:68B:40
Submit
Accepted
- Submit #280174: iperov DeepFaceLab pretrained DF.wf.288res.384.92.72.22 command execution (by bayuncao)
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