Call this before before using a module to check available exploit modules for a certain netexec supported protocol {rdp,ldap,winrm,smb,ssh,nfs,ftp,wmi,mssql,vnc} and based on the description of the modules chose one to perform
AI agents call check_module to retrieve information from PentestMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Even though check_module only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
Call this before before using a module to check available exploit modules for a certain netexec supported protocol {rdp,ldap,winrm,smb,ssh,nfs,ftp,wmi,mssql,vnc} and based on the description of the modules chose one to perform. It is categorised as a Read tool in the PentestMCP MCP Server, which means it retrieves data without modifying state.
Register the Pentest MCP server in PolicyLayer and add a rule for check_module: 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 PentestMCP. Nothing to install.
check_module 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 check_module 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 check_module. 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.
check_module is provided by the Pentest MCP server (youssefsahnoun/pentestmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.