Iperov maintains DeepFaceLab, a specialized tool for deepfake video synthesis that processes untrusted media inputs and third-party models, creating a surface for deserialization vulnerabilities. The observed weakness centers on unsafe handling of serialized data, a characteristic risk in machine-learning frameworks that load external model artifacts without strict validation. Current exploitation activity and exposure counts are shown alongside this summary.
The number and severity of CVEs published that impact products developed by Iperov over time
Signals from CVEs in this vendor scope (3 CVEs).
3 CVEs · Highest risk first
| CVE | Published | CVSS | Risk | KEV | Exploit |
|---|---|---|---|---|---|
CVE-2024-0654HIGH 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 | Jan 18, 2024 | 7.8 | 22 | NO | NO |
CVE-2023-6656HIGH ** UNSUPPORTED WHEN ASSIGNED ** 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 some unknown | Dec 10, 2023 | 7.5 | 22 | NO | NO |
CVE-2024-1432MEDIUM ** UNSUPPORTED WHEN ASSIGNED ** A vulnerability was found in DeepFaceLab pretrained DF.wf.288res.384.92.72.22 and classified as problematic. This issue affects the function apply_x | Feb 11, 2024 | 5.0 | 17 | NO | NO |
Signals from CVEs in this vendor scope (3 CVEs).
An overview of all social media posts that mention a CVE ID that affects a product developed by Iperov.
Media articles that mention a CVE ID that affects a product developed by Iperov — matched by CVE ID, not by vendor name.