{"uuid": "2c413978-f23d-4cd6-a284-dcd538cba939", "vulnerability_lookup_origin": "1a89b78e-f703-45f3-bb86-59eb712668bd", "author": "2a075640-a300-48a4-bb44-bc6130783b9b", "vulnerability": "CVE-2025-27781", "type": "seen", "source": "https://t.me/cvedetector/20671", "content": "{\n  \"Source\": \"CVE FEED\",\n  \"Title\": \"CVE-2025-27781 - Applio Remote Code Execution Vulnerability\", \n  \"Content\": \"CVE ID : CVE-2025-27781 \nPublished : March 19, 2025, 9:15 p.m. | 15\u00a0minutes ago \nDescription : Applio is a voice conversion tool. Versions 3.2.8-bugfix and prior are vulnerable to unsafe deserialization in inference.py. `model_file` in inference.py as well as `model_file` in tts.py take user-supplied input (e.g. a path to a model) and pass that value to the `change_choices` and later to `get_speakers_id` function, which loads that model with `torch.load` in inference.py (line 326 in 3.2.8-bugfix), which is vulnerable to unsafe deserialization. The issue can lead to remote code execution. A patch is available on the `main` branch of the repository. \nSeverity: 0.0 | NA \nVisit the link for more details, such as CVSS details, affected products, timeline, and more...\",\n  \"Detection Date\": \"19 Mar 2025\",\n  \"Type\": \"Vulnerability\"\n}\n\ud83d\udd39 t.me/cvedetector \ud83d\udd39", "creation_timestamp": "2025-03-19T23:00:20.000000Z"}