High · published July 15, 2025
⚡ A sneaky deserialization flaw lurks in GPT-SoVITS-WebUI versions up to 20250228v3! This could let attackers run arbitrary code with just a clever model path. 🔥 Think of it like a party host who lets guests bring in their own music. If someone slips in a corrupted file, it could blast the wrong tunes and ruin the whole event! An attacker exploiting this vulnerability could inject malicious code into your system, leading to potential data breaches or system compromises. It's like giving them a backstage pass to manipulate whatever they want!
Think of it like a party host who lets guests bring in their own music. If someone slips in a corrupted file, it could blast the wrong tunes and ruin the whole event! This vulnerability arises from unsafe deserialization in the bsroformer.py file, where user input is passed unchecked to the Roformer_Loader class. The model_choose variable allows attackers to control the model_path, enabling them to load malicious payloads via torch.load.
An attacker exploiting this vulnerability could inject malicious code into your system, leading to potential data breaches or system compromises. It's like giving them a backstage pass to manipulate whatever they want! Immediately review your deployment of GPT-SoVITS-WebUI. While there’s no patch available yet, consider restricting the model paths that can be entered or implementing input validation to block harmful inputs. Stay tuned for updates from the developers! You've got this! With some vigilance and these steps, you can safeguard your environment. 🛡️