Tencent NeuralNLP-NeuralClassifier Deserialization Vulnerability Leading to Remote Code Execution
Vulnerability
A remote code execution vulnerability has been identified in Tencent NeuralNLP-NeuralClassifier. This issue arises from insecure deserialization of user-supplied data in the _load_checkpoint function, allowing remote attackers to execute arbitrary code with root privileges. Exploitation requires user interaction, such as visiting a malicious page or opening a harmful file.
Impact
Exploitation of this vulnerability allows for arbitrary code execution on the affected system, with the executed code running in the context of the root user.
Remediation
Tencent has released a patch for this vulnerability. Details about the patch can be found in the commit history of the Tencent NeuralNLP-NeuralClassifier GitHub repository.
Vulnerability Rating
Our algorithm analyzes dozens of metrics to generate these 8 key vulnerability categories, which are then combined to calculate the overall risk score.
