prove_attack_chain
A execute tool on the Pentest Ai MCP server.
This record as markdown: /tools/0xsteph-pentest-ai/prove-attack-chain.md
What prove_attack_chain does on Pentest Ai
AI agents invoke prove_attack_chain to trigger actions in Pentest Ai. 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 prove_attack_chain is rated High
In a pentesting context, 'proving' an attack chain means executing a working exploit or PoC to demonstrate that a chain of vulnerabilities is exploitable end-to-end. The server description explicitly mentions 'working PoCs' and 'real security tools'. While the description is empty (lowering confidence slightly), the tool name combined with sibling tools and server context indicates active exploitation execution.
From the tool's definition Tool name 'prove_attack_chain' on a pentesting server ('Autonomous pentests from one command: real security tools, working PoCs') alongside tools like 'authenticated_scan', 'discover_attack_chains', and 'get_attack_chains' strongly implies executing a…
Attacks that exploit this kind of access
The rule that runs prove_attack_chain safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Pentest Ai, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For prove_attack_chain, this is the rule to start with:
prove_attack_chain 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 Pentest Ai, apply this rule, and every prove_attack_chain call is checked against it from then on.
Questions about prove_attack_chain
prove_attack_chain is a execute tool on the Pentest Ai MCP server. It is categorised as a Execute tool in the Pentest Ai MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Pentest Ai MCP server in PolicyLayer and add a rule for prove_attack_chain: 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 Pentest Ai. Nothing to install.
prove_attack_chain 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 prove_attack_chain 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 prove_attack_chain. 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.
prove_attack_chain is provided by the Pentest Ai MCP server (0xsteph/pentest-ai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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