AVID-2026-R1674

Description

Applio allows unsafe deserialization in inference.py (CVE-2025-27781)

Details

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.

Reason for inclusion in AVID: Unsafe deserialization in Applio’s inference pathway allows remote code execution by loading user-supplied model files via torch.load. This directly concerns AI inference/model-loading components and their software stack, impacting the deployment/run of AI systems. The CVE description and references provide clear vulnerability behavior and remediation signals.

References

• NVD entry
• https://securitylab.github.com/advisories/GHSL-2024-341_GHSL-2024-353_Applio/
• https://github.com/IAHispano/Applio/commit/eb21d9dd349a6ae1a28c440b30d306eafba65097
• https://github.com/IAHispano/Applio/blob/29b4a00e4be209f9aac51cd9ccffcc632dfb2973/tabs/inference/inference.py#L325
• https://github.com/IAHispano/Applio/blob/29b4a00e4be209f9aac51cd9ccffcc632dfb2973/tabs/inference/inference.py#L338-L345
• https://github.com/IAHispano/Applio/blob/29b4a00e4be209f9aac51cd9ccffcc632dfb2973/tabs/tts/tts.py#L50-L57

Affected or Relevant Artifacts

• Developer: IAHispano
• Deployer: IAHispano
• Artifact Details:

Impact

AVID Taxonomy Categorization

• Risk domains: Security
• SEP subcategories: S0100: Software Vulnerability
• Lifecycle stages: L06: Deployment

CWE

Other information

• Report Type: Advisory
• Credits:
• Date Reported: 2025-03-19
• Version: 0.3.3
• AVID Entry