Cross-Site Scripting 취약점이 있는지 검사
AI agents call scan-xss to retrieve information from Security Scanner MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and analyzes code to identify XSS vulnerabilities but does not execute code, modify data, delete anything, or move money. It is a read-only analysis tool. The low severity reflects that misuse would only produce false security findings, not cause system harm.
From the tool's definition Tool name 'scan-xss' and description indicate a scanning/detection function that checks for Cross-Site Scripting vulnerabilities.
Attacks that exploit this kind of access
Cross-Site Scripting 취약점이 있는지 검사. It is categorised as a Read tool in the Security Scanner MCP MCP Server, which means it retrieves data without modifying state.
Register the Security Scanner MCP server in PolicyLayer and add a rule for scan-xss: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Security Scanner MCP. Nothing to install.
scan-xss is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the scan-xss rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for scan-xss. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
scan-xss is provided by the Security Scanner MCP server (ongjin/security-scanner-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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