IAHispano Applio up to 3.2.8-bugfix inference.py model_file deserialization
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.4 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as critical, was found in IAHispano Applio up to 3.2.8-bugfix. The impacted element is the function model_file of the file inference.py. The manipulation results in deserialization.
This vulnerability is known as CVE-2025-27781. It is possible to launch the attack remotely. No exploit is available.
Applying a patch is advised to resolve this issue.
Details
A vulnerability was found in IAHispano Applio up to 3.2.8-bugfix. It has been classified as critical. Affected is the function model_file of the file inference.py. The manipulation with an unknown input leads to a deserialization vulnerability. CWE is classifying the issue as CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. This is going to have an impact on confidentiality, integrity, and availability. CVE summarizes:
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.
The advisory is shared for download at securitylab.github.com. This vulnerability is traded as CVE-2025-27781 since 03/06/2025. The exploitability is told to be easy. It is possible to launch the attack remotely. The exploitation doesn't require any form of authentication. There are known technical details, but no exploit is available.
Applying the patch eb21d9dd349a6ae1a28c440b30d306eafba65097 is able to eliminate this problem. The bugfix is ready for download at github.com.
VulDB is the best source for vulnerability data and more expert information about this specific topic.
Product
Vendor
Name
Version
License
Website
- Product: https://github.com/IAHispano/Applio/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CNA CVSS-B Score: 🔍
CNA CVSS-BT Score: 🔍
CNA Vector: 🔍
CVSSv3
VulDB Meta Base Score: 8.5VulDB Meta Temp Score: 8.4
VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: DeserializationCWE: CWE-502 / CWE-20
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: PatchStatus: 🔍
0-Day Time: 🔍
Patch: eb21d9dd349a6ae1a28c440b30d306eafba65097
Timeline
03/06/2025 🔍03/19/2025 🔍
03/19/2025 🔍
08/01/2025 🔍
Sources
Product: github.comAdvisory: GHSL-2024-341
Status: Confirmed
CVE: CVE-2025-27781 (🔍)
GCVE (CVE): GCVE-0-2025-27781
GCVE (VulDB): GCVE-100-300120
Entry
Created: 03/19/2025 22:59Updated: 08/01/2025 19:35
Changes: 03/19/2025 22:59 (69), 08/01/2025 19:35 (13)
Complete: 🔍
Cache ID: 216::103
VulDB is the best source for vulnerability data and more expert information about this specific topic.
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