CVE-2025-27781

Applio allows unsafe deserialization in inference.py

Description

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.

Category

8.9
CVSS
Severity: High
CVSS 4.0 •
EPSS 0.32%
Affected: IAHispano Applio
Published at:
Updated at:

References

Frequently Asked Questions

What is the severity of CVE-2025-27781?
CVE-2025-27781 has been scored as a high severity vulnerability.
How to fix CVE-2025-27781?
To fix CVE-2025-27781, make sure you are using an up-to-date version of the affected component(s) by checking the vendor release notes. As for now, there are no other specific guidelines available.
Is CVE-2025-27781 being actively exploited in the wild?
As for now, there are no information to confirm that CVE-2025-27781 is being actively exploited. According to its EPSS score, there is a ~0% probability that this vulnerability will be exploited by malicious actors in the next 30 days.
What software or system is affected by CVE-2025-27781?
CVE-2025-27781 affects IAHispano Applio.
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