CVE-2025-27779

Applio is a voice conversion tool. Versions 3.2.8-bugfix and prior are vulnerable to unsafe deserialization in model_blender.py lines 20 and 21. model_fusion_a and model_fusion_b from voice_blender.py take user-supplied input (e.g. a path to a model) and pass that value to the run_model_blender_script and later to model_blender function, which loads these two models with torch.load in model_blender.py (on lines 20-21 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 Applio repository.

Applio is a voice conversion tool. Versions 3.2.8-bugfix and prior are vulnerable to unsafe deserialization in model_blender.py lines 20 and 21. model_fusion_a and model_fusion_b from voice_blender.py take user-supplied input (e.g. a path to a model) and pass that value to the run_model_blender_script and later to model_blender function, which loads these two models with torch.load in model_blender.py (on lines 20-21 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 Applio repository.

Applio is a voice conversion tool. Versions 3.2.8-bugfix and prior are vulnerable to unsafe deserialization in model_blender.py lines 20 and 21. model_fusion_a and model_fusion_b from voice_blender.py take user-supplied input (e.g. a path to a model) and pass that value to the run_model_blender_script and later to model_blender function, which loads these two models with torch.load in model_blender.py (on lines 20-21 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 Applio repository.

Applio is a voice conversion tool. Versions 3.2.8-bugfix and prior are vulnerable to unsafe deserialization in model_blender.py lines 20 and 21. model_fusion_a and model_fusion_b from voice_blender.py take user-supplied input (e.g. a path to a model) and pass that value to the run_model_blender_script and later to model_blender function, which loads these two models with torch.load in model_blender.py (on lines 20-21 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 Applio repository.