CVE-2025-27781 Applio allows unsafe deserialization in inference.py
Applio allows remote code execution via unsafe deserialization when loading user-supplied model files using torch.load.
- Exploited in the wild
- Not known
- Login needed
- Not needed
- Attackable
- Over the internet
- Victim action needed
- Not needed
- Fix
- None listed
What is CVE-2025-27781?
CVE-2025-27781 is a high-severity unsafe deserialization vulnerability in IAHispano Applio, published on 19 Mar 2025. An attacker can exploit it over the internet without logging in, with no action from the victim.
Official 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.
Weakness: CWE-502
Which versions are affected by CVE-2025-27781?
It affects 1 product.
Products include Applio Applio.
How do I fix CVE-2025-27781?
No fix has been published for CVE-2025-27781 yet. Limit exposure of the affected software until one is available.
Upgrade, and only deserialise data from trusted sources or with an allow-list of types. More about Unsafe deserialization.
Is CVE-2025-27781 being exploited?
It is not confirmed as exploited in the wild, but public exploit code for CVE-2025-27781 exists.
Other vulnerabilities in IAHispano Applio
- CVE-2025-27778 Applio allows unsafe deserialization in infer.py
- CVE-2025-27779 Applio allows unsafe deserialization in model_blender.py
- CVE-2025-27780 Applio allows unsafe deserialization in model_information.py
- CVE-2025-27774 Applio allows SSRF and file write in model_download.py
- CVE-2025-27775 Applio allows SSRF and file write in model_download.py