Risk Analysis
📊
Risk Score
72%
🎲
Likelihood
8/10
💥
Impact
9/10
🛡️
Priority
4/5
Risk Category: High Risk
🎲 Likelihood Factors
High prevalence of path traversal vulnerabilities in similar platforms.
Demonstrated exploitability by security researchers.
Centralized hosting model increases attack surface.
Growing sophistication of supply chain attacks targeting AI infrastructure.
Recent similar incidents indicate a trend in exploitation.
💥 Impact Factors
Exposure of sensitive API keys and authentication tokens.
Potential for arbitrary code execution on 3,000+ servers.
Risk of cascading breaches affecting multiple organizations.
High value of MCP servers as gateways to critical services.
Long-term static API keys increase risk of prolonged exploitation.
💡 Recommended Actions
Implement strict configuration management and validation processes.
Conduct a comprehensive security audit of the MCP server infrastructure.
Transition to more secure authentication methods, such as OAuth tokens.
Enhance monitoring and incident response capabilities for early detection.
Provide security training for developers focusing on secure coding practices.