CVE-2025-43843: CWE-77: Improper Neutralization of Special Elements used in a Command ('Command Injection') in RVC-Project Retrieval-based-Voice-Conversion-WebUI
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, np7 and f0method8 take user input and pass it into the extract_f0_feature 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 Analysis
Technical Summary
CVE-2025-43843 is a high-severity command injection vulnerability (CWE-77) affecting the Retrieval-based-Voice-Conversion-WebUI (RVC-Project), a voice changing framework based on VITS. Versions up to and including 2.2.231006 are vulnerable. The flaw arises because the application accepts user-controlled input through variables exp_dir1, np7, and f0method8, which are passed directly into the extract_f0_feature function. This function concatenates these inputs into a shell command executed on the server without proper sanitization or neutralization of special characters. As a result, an attacker can inject arbitrary commands that the server will execute with the privileges of the running application. The vulnerability requires no authentication or user interaction and can be exploited remotely over the network. The CVSS 4.0 score is 8.9 (high), reflecting the ease of exploitation (network vector, no privileges or user interaction required) and the severe impact on confidentiality, integrity, and availability due to arbitrary command execution. No patches are currently available, increasing the risk for organizations using vulnerable versions. Although no known exploits are reported in the wild yet, the presence of this vulnerability in a voice conversion framework that may be deployed in multimedia, telecommunication, or AI-driven voice applications poses a significant risk. Attackers could leverage this to execute malicious payloads, pivot within networks, exfiltrate sensitive data, or disrupt services.
Potential Impact
For European organizations, the impact of this vulnerability can be substantial, especially for those using RVC-Project's Retrieval-based-Voice-Conversion-WebUI in production environments such as media companies, telecommunication providers, AI research institutions, or any service offering voice modification capabilities. Successful exploitation could lead to full system compromise, unauthorized data access, and service disruption. Given the nature of the vulnerability, attackers could execute arbitrary commands to install malware, create backdoors, or manipulate voice data, potentially undermining trust in voice-based services. This could also lead to regulatory and compliance issues under GDPR if personal data is compromised. The lack of available patches means organizations must rely on immediate mitigation strategies to reduce exposure. The vulnerability's network-exploitable nature means that any exposed instances accessible from the internet or internal networks are at risk, increasing the attack surface. Additionally, voice conversion technologies are increasingly integrated into customer service and communication platforms, amplifying the potential impact on business operations and reputation.
Mitigation Recommendations
1. Immediate mitigation should include isolating any publicly accessible instances of Retrieval-based-Voice-Conversion-WebUI behind firewalls or VPNs to restrict access only to trusted users and networks. 2. Employ strict input validation and sanitization at the application layer to filter out special characters or command injection patterns in the exp_dir1, np7, and f0method8 parameters. 3. Use application-level sandboxing or containerization to limit the impact of potential command execution. 4. Monitor logs and network traffic for unusual command execution patterns or unexpected process spawning related to the extract_f0_feature function. 5. If feasible, disable or restrict the functionality that invokes shell commands with user input until a patch is available. 6. Engage with the vendor or open-source community to track patch releases and apply updates promptly once available. 7. Conduct internal audits to identify all deployments of the vulnerable versions and prioritize remediation efforts accordingly. 8. Implement network segmentation to limit lateral movement if a compromise occurs. 9. Educate developers and administrators on secure coding practices to prevent command injection vulnerabilities in future development.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Finland, Italy, Spain
CVE-2025-43843: CWE-77: Improper Neutralization of Special Elements used in a Command ('Command Injection') in RVC-Project 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, np7 and f0method8 take user input and pass it into the extract_f0_feature 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
Technical Analysis
CVE-2025-43843 is a high-severity command injection vulnerability (CWE-77) affecting the Retrieval-based-Voice-Conversion-WebUI (RVC-Project), a voice changing framework based on VITS. Versions up to and including 2.2.231006 are vulnerable. The flaw arises because the application accepts user-controlled input through variables exp_dir1, np7, and f0method8, which are passed directly into the extract_f0_feature function. This function concatenates these inputs into a shell command executed on the server without proper sanitization or neutralization of special characters. As a result, an attacker can inject arbitrary commands that the server will execute with the privileges of the running application. The vulnerability requires no authentication or user interaction and can be exploited remotely over the network. The CVSS 4.0 score is 8.9 (high), reflecting the ease of exploitation (network vector, no privileges or user interaction required) and the severe impact on confidentiality, integrity, and availability due to arbitrary command execution. No patches are currently available, increasing the risk for organizations using vulnerable versions. Although no known exploits are reported in the wild yet, the presence of this vulnerability in a voice conversion framework that may be deployed in multimedia, telecommunication, or AI-driven voice applications poses a significant risk. Attackers could leverage this to execute malicious payloads, pivot within networks, exfiltrate sensitive data, or disrupt services.
Potential Impact
For European organizations, the impact of this vulnerability can be substantial, especially for those using RVC-Project's Retrieval-based-Voice-Conversion-WebUI in production environments such as media companies, telecommunication providers, AI research institutions, or any service offering voice modification capabilities. Successful exploitation could lead to full system compromise, unauthorized data access, and service disruption. Given the nature of the vulnerability, attackers could execute arbitrary commands to install malware, create backdoors, or manipulate voice data, potentially undermining trust in voice-based services. This could also lead to regulatory and compliance issues under GDPR if personal data is compromised. The lack of available patches means organizations must rely on immediate mitigation strategies to reduce exposure. The vulnerability's network-exploitable nature means that any exposed instances accessible from the internet or internal networks are at risk, increasing the attack surface. Additionally, voice conversion technologies are increasingly integrated into customer service and communication platforms, amplifying the potential impact on business operations and reputation.
Mitigation Recommendations
1. Immediate mitigation should include isolating any publicly accessible instances of Retrieval-based-Voice-Conversion-WebUI behind firewalls or VPNs to restrict access only to trusted users and networks. 2. Employ strict input validation and sanitization at the application layer to filter out special characters or command injection patterns in the exp_dir1, np7, and f0method8 parameters. 3. Use application-level sandboxing or containerization to limit the impact of potential command execution. 4. Monitor logs and network traffic for unusual command execution patterns or unexpected process spawning related to the extract_f0_feature function. 5. If feasible, disable or restrict the functionality that invokes shell commands with user input until a patch is available. 6. Engage with the vendor or open-source community to track patch releases and apply updates promptly once available. 7. Conduct internal audits to identify all deployments of the vulnerable versions and prioritize remediation efforts accordingly. 8. Implement network segmentation to limit lateral movement if a compromise occurs. 9. Educate developers and administrators on secure coding practices to prevent command injection vulnerabilities in future development.
Affected Countries
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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: 682d981dc4522896dcbdb09e
Added to database: 5/21/2025, 9:08:45 AM
Last enriched: 7/5/2025, 7:54:58 PM
Last updated: 8/14/2025, 6:02:39 PM
Views: 13
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