IAHispano Applio up to 3.2.8-bugfix model_information.py model_name deserialization

CVSS Meta Temp Score
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CTI Interest Score
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8.4$0-$5k0.00

Summaryinfo

A vulnerability marked as critical has been reported in IAHispano Applio up to 3.2.8-bugfix. This affects the function model_name of the file model_information.py. This manipulation causes deserialization. This vulnerability is registered as CVE-2025-27780. Remote exploitation of the attack is possible. No exploit is available. To fix this issue, it is recommended to deploy a patch.

Detailsinfo

A vulnerability classified as critical was found in IAHispano Applio up to 3.2.8-bugfix. Affected by this vulnerability is the function model_name of the file model_information.py. The manipulation with an unknown input leads to a deserialization vulnerability. The CWE definition for the vulnerability is CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

Applio is a voice conversion tool. Versions 3.2.8-bugfix and prior are vulnerable to unsafe deserialization in model_information.py. `model_name` in model_information.py takes user-supplied input (e.g. a path to a model) and pass that value to the `run_model_information_script` and later to `model_information` function, which loads that model with `torch.load` in rvc/train/process/model_information.py (on line 16 in 3.2.8-bugfix), which is vulnerable to unsafe deserialization. The issue can lead to remote code execution. A patch is available in the `main` branch of the repository.

It is possible to read the advisory at securitylab.github.com. This vulnerability is known as CVE-2025-27780 since 03/06/2025. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details of the vulnerability are known, but there is no available exploit.

Applying the patch 11d139508d615a6db4d48b76634a443c66170dda is able to eliminate this problem. The bugfix is ready for download at github.com.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

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CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔍
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CVSSv3info

VulDB Meta Base Score: 8.5
VulDB 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: 🔍

CVSSv2info

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VulDB Base Score: 🔍
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VulDB Reliability: 🔍

Exploitinginfo

Class: Deserialization
CWE: 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 Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Patch
Status: 🔍

0-Day Time: 🔍

Patch: 11d139508d615a6db4d48b76634a443c66170dda

Timelineinfo

03/06/2025 🔍
03/19/2025 +13 days 🔍
03/19/2025 +0 days 🔍
08/01/2025 +135 days 🔍

Sourcesinfo

Product: github.com

Advisory: GHSL-2024-341
Status: Confirmed

CVE: CVE-2025-27780 (🔍)
GCVE (CVE): GCVE-0-2025-27780
GCVE (VulDB): GCVE-100-300115

Entryinfo

Created: 03/19/2025 22:57
Updated: 08/01/2025 19:35
Changes: 03/19/2025 22:57 (69), 08/01/2025 19:35 (13)
Complete: 🔍
Cache ID: 216::103

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