CVE-2025-27783
Applio Voice Conversion Tool Remote Code Execution and Arbitrary File Write Vulnerability
Description
Applio is a voice conversion tool. Versions 3.2.8-bugfix and prior are vulnerable to arbitrary file write in train.py. This issue may lead to writing arbitrary files on the Applio server. It can also be used in conjunction with an unsafe deserialization to achieve remote code execution. As of time of publication, no known patches are available.
INFO
Published Date :
March 19, 2025, 9:15 p.m.
Last Modified :
Aug. 1, 2025, 4:26 p.m.
Remotely Exploit :
Yes !
Source :
[email protected]
CVSS Scores
| Score | Version | Severity | Vector | Exploitability Score | Impact Score | Source |
|---|---|---|---|---|---|---|
| CVSS 3.1 | CRITICAL | [email protected] | ||||
| CVSS 4.0 | HIGH | [email protected] |
Solution
- Update Applio to a version that addresses the file write vulnerability.
- Apply any available security patches or hotfixes from the vendor.
- Review and secure the train.py script for unauthorized file operations.
- Implement input validation to prevent arbitrary file path manipulation.
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2025-27783.
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2025-27783 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2025-27783
weaknesses.
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2025-27783 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2025-27783 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
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Initial Analysis by [email protected]
Aug. 01, 2025
Action Type Old Value New Value Added CVSS V3.1 AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H Added CPE Configuration OR *cpe:2.3:a:applio:applio:*:*:*:*:*:*:*:* versions up to (including) 3.2.8-bugfix Added Reference Type GitHub, Inc.: https://github.com/IAHispano/Applio/blob/29b4a00e4be209f9aac51cd9ccffcc632dfb2973/tabs/train/train.py#L212-L225 Types: Product Added Reference Type GitHub, Inc.: https://github.com/IAHispano/Applio/blob/29b4a00e4be209f9aac51cd9ccffcc632dfb2973/tabs/train/train.py#L484-L491 Types: Product Added Reference Type GitHub, Inc.: https://github.com/IAHispano/Applio/blob/d7d685fefd0c58e29e1d84d668613056791544a7/tabs/inference/inference.py#L295 Types: Product Added Reference Type GitHub, Inc.: https://securitylab.github.com/advisories/GHSL-2024-341_GHSL-2024-353_Applio/ Types: Vendor Advisory -
New CVE Received by [email protected]
Mar. 19, 2025
Action Type Old Value New Value Added Description Applio is a voice conversion tool. Versions 3.2.8-bugfix and prior are vulnerable to arbitrary file write in train.py. This issue may lead to writing arbitrary files on the Applio server. It can also be used in conjunction with an unsafe deserialization to achieve remote code execution. As of time of publication, no known patches are available. Added CVSS V4.0 AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X Added CWE CWE-22 Added Reference https://github.com/IAHispano/Applio/blob/29b4a00e4be209f9aac51cd9ccffcc632dfb2973/tabs/train/train.py#L212-L225 Added Reference https://github.com/IAHispano/Applio/blob/29b4a00e4be209f9aac51cd9ccffcc632dfb2973/tabs/train/train.py#L484-L491 Added Reference https://github.com/IAHispano/Applio/blob/d7d685fefd0c58e29e1d84d668613056791544a7/tabs/inference/inference.py#L295 Added Reference https://securitylab.github.com/advisories/GHSL-2024-341_GHSL-2024-353_Applio/