深度學習框架漏洞利用

Risk Description

Deep learning frameworks (PyTorch, TensorFlow) that AI systems depend on contain known or unknown security vulnerabilities enabling remote code execution, privilege escalation, or data theft. As frameworks are foundational to AI systems, vulnerability impact is extremely broad. Many organizations fail to update framework versions timely, leaving long-term exposed attack surfaces.