CVE-2025-49833 is a high-severity command injection vulnerability affecting GPT-SoVITS-WebUI, a voice conversion and text-to-speech web user interface developed by RVC-Boss. The vulnerability exists in versions 20250228v3 and earlier. Specifically, the issue lies in the open_slice function within the webui.py file. This function takes user-supplied input parameters slice_opt_root and slice-inp-path, which are concatenated directly into a system command executed on the server without proper sanitization or neutralization of special characters. This improper handling of user input leads to CWE-77: Improper Neutralization of Special Elements used in a Command ('Command Injection'). An attacker can exploit this flaw by crafting malicious input that injects arbitrary commands, which the server will execute with the privileges of the web application process. The vulnerability requires no authentication or user interaction and can be triggered remotely over the network, as indicated by the CVSS vector (AV:N/AC:L/PR:N/UI:N). The impact on confidentiality, integrity, and availability is high, as arbitrary command execution can lead to full system compromise, data theft, service disruption, or pivoting to other internal resources. At the time of publication, no patches or mitigations have been released by the vendor, increasing the risk for users of affected versions. No known exploits are currently observed in the wild, but the ease of exploitation and severity score of 8.9 make this a critical issue to address promptly. Organizations using GPT-SoVITS-WebUI should consider this vulnerability a significant threat to their infrastructure.

For European organizations, the impact of CVE-2025-49833 can be substantial, especially for those relying on GPT-SoVITS-WebUI for voice conversion or text-to-speech services in production or research environments. Successful exploitation can lead to unauthorized access to sensitive data, disruption of voice service availability, and potential lateral movement within corporate networks. Given the nature of the vulnerability, attackers could deploy ransomware, exfiltrate intellectual property, or manipulate voice data outputs, undermining trust and compliance with data protection regulations such as GDPR. The lack of authentication and user interaction requirements means that exposed instances are highly vulnerable to automated scanning and exploitation attempts. This could lead to widespread compromise in sectors such as telecommunications, media, AI research institutions, and any enterprise integrating voice technologies. Furthermore, the absence of a patch increases the window of exposure, necessitating immediate risk mitigation to prevent potential breaches.

1. Immediate mitigation should include isolating GPT-SoVITS-WebUI instances from public networks or restricting access via network segmentation and firewall rules to trusted IP addresses only. 2. Employ web application firewalls (WAFs) with custom rules to detect and block suspicious command injection patterns targeting slice_opt_root and slice-inp-path parameters. 3. Implement strict input validation and sanitization at the application layer, ensuring that user inputs do not contain shell metacharacters or unexpected commands before they reach the open_slice function. 4. If possible, run the GPT-SoVITS-WebUI service with the least privilege, using dedicated service accounts with minimal permissions to limit the impact of any command execution. 5. Monitor logs and network traffic for unusual activities indicative of exploitation attempts, such as unexpected command executions or spikes in resource usage. 6. Engage with the vendor or community to track patch releases and apply updates promptly once available. 7. Consider deploying application-level sandboxing or containerization to limit the scope of potential damage from command injection. 8. Conduct regular security assessments and penetration testing focused on injection vulnerabilities in voice-related services.