run_bruteshark_analysis
A execute tool on the Pentester- MCP server.
This record as markdown: /tools/halilkirazkaya-pentester-mcp/run-bruteshark-analysis.md
What run_bruteshark_analysis does on Pentester-MCP
AI agents invoke run_bruteshark_analysis to trigger actions in Pentester-MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why run_bruteshark_analysis is rated High
This tool executes an external penetration testing utility (Bruteshark) whose effects depend entirely on the input pcap file and analysis parameters provided by the AI agent. While it reads pcap data, the classification hinges on the active execution of analysis logic that processes and extracts intelligence from network traffic—a proactive operation distinct from passive data retrieval.
From the tool's definition Tool name 'run_bruteshark_analysis' indicates execution of Bruteshark, a network traffic analysis tool. Server description states it 'enables AI assistants to autonomously execute over 200 open-source penetration testing tools' including reconnaissance…
Attacks that exploit this kind of access
The rule that runs run_bruteshark_analysis safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Pentester-MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For run_bruteshark_analysis, this is the rule to start with:
run_bruteshark_analysis stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Pentester-MCP, apply this rule, and every run_bruteshark_analysis call is checked against it from then on.
Questions about run_bruteshark_analysis
run_bruteshark_analysis is a execute tool on the Pentester MCP server. It is categorised as a Execute tool in the Pentester-MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Pentester MCP server in PolicyLayer and add a rule for run_bruteshark_analysis: 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 Pentester-MCP. Nothing to install.
run_bruteshark_analysis is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the run_bruteshark_analysis 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 run_bruteshark_analysis. 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.
run_bruteshark_analysis is provided by the Pentester MCP server (halilkirazkaya/pentester-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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