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CVE-2025-43844: CWE-77: Improper Neutralization of Special Elements used in a Command ('Command Injection') in RVC-Project Retrieval-based-Voice-Conversion-WebUI

High
VulnerabilityCVE-2025-43844cvecve-2025-43844cwe-77
Published: Mon May 05 2025 (05/05/2025, 17:11:05 UTC)
Source: CVE
Vendor/Project: RVC-Project
Product: Retrieval-based-Voice-Conversion-WebUI

Description

Retrieval-based-Voice-Conversion-WebUI is a voice changing framework based on VITS. Versions 2.2.231006 and prior are vulnerable to command injection. The variables exp_dir1, among others, take user input and pass it to the click_train function, which concatenates them into a command that is run on the server. This can lead to arbitrary command execution. As of time of publication, no known patches exist.

AI-Powered Analysis

AILast updated: 07/05/2025, 18:43:31 UTC

Technical Analysis

CVE-2025-43844 is a critical command injection vulnerability identified in the Retrieval-based-Voice-Conversion-WebUI (RVC-Project), a voice changing framework based on VITS technology. This vulnerability affects versions 2.2.231006 and earlier. The root cause lies in improper neutralization of special elements in user-supplied input, specifically in variables such as exp_dir1. These inputs are passed directly to the click_train function, which concatenates them into shell commands executed on the server without adequate sanitization or validation. This flaw allows an unauthenticated attacker to execute arbitrary commands on the underlying server remotely, potentially leading to full system compromise. The vulnerability has a CVSS 4.0 base score of 8.9 (high severity), reflecting its network attack vector, low complexity, no required privileges or user interaction, and high impact on confidentiality, integrity, and availability. No patches or mitigations have been published at the time of disclosure, and no known exploits have been observed in the wild yet. The vulnerability is classified under CWE-77 (Improper Neutralization of Special Elements used in a Command), which is a common and dangerous class of injection flaws. Given the nature of the RVC-Project as a voice conversion framework, it is likely deployed in research, multimedia, and AI development environments, where compromised systems could be leveraged for lateral movement, data exfiltration, or disruption of voice-related services.

Potential Impact

For European organizations, this vulnerability poses a significant risk, especially for entities involved in AI research, multimedia processing, and voice technology development. Exploitation could lead to unauthorized access to sensitive intellectual property, manipulation or theft of voice data, and disruption of critical voice conversion services. The ability to execute arbitrary commands remotely without authentication means attackers could deploy malware, establish persistent backdoors, or pivot to other internal systems, severely impacting confidentiality, integrity, and availability. Organizations in sectors such as telecommunications, media, research institutions, and technology companies are particularly vulnerable. Additionally, compromised systems could be used as a foothold for further attacks targeting European infrastructure or data. The lack of available patches increases the urgency for immediate mitigation to prevent exploitation.

Mitigation Recommendations

Given the absence of official patches, European organizations should implement immediate compensating controls. First, restrict network access to the Retrieval-based-Voice-Conversion-WebUI instances by applying strict firewall rules and network segmentation to limit exposure to trusted internal users only. Employ application-layer filtering or web application firewalls (WAFs) capable of detecting and blocking command injection patterns in user inputs. Conduct thorough input validation and sanitization at the application level, if possible, by modifying the source code to properly escape or reject special characters in variables like exp_dir1 before they reach the click_train function. Monitor logs for suspicious command execution attempts or unusual system activity. Consider deploying host-based intrusion detection systems (HIDS) to detect anomalous command executions. If feasible, isolate the vulnerable service in a container or sandbox environment to limit potential damage. Finally, maintain vigilance for updates from the vendor or community and plan for rapid patching once available.

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Technical Details

Data Version
5.1
Assigner Short Name
GitHub_M
Date Reserved
2025-04-17T20:07:08.554Z
Cisa Enriched
true
Cvss Version
4.0
State
PUBLISHED

Threat ID: 682d981cc4522896dcbda753

Added to database: 5/21/2025, 9:08:44 AM

Last enriched: 7/5/2025, 6:43:31 PM

Last updated: 7/28/2025, 3:13:04 PM

Views: 12

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