文章摘要
The rapid adoption of Model Context Protocol (MCP) servers by AI models is leading to a resurgence of common web vulnerabilities.
- MCP servers are critical for AI systems to access real-time data and leverage external tools.
- New MCP server implementations often quickly deploy web interfaces and APIs, overlooking fundamental security practices.
- This rush results in flaws such as unauthenticated endpoints, broken access control, and directory traversal vulnerabilities.
- These security weaknesses can enable data exfiltration, unauthorized system access, and novel forms of prompt injection affecting the AI models themselves.