AI agents invoke finish to trigger actions in Pwno. 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.
This tool executes a control flow operation on an attached debugged process via GDB. While not arbitrary code execution in the traditional sense, it resumes program execution with effects determined by the state of the debugged binary and its runtime behavior. The consequences depend entirely on what the program does when resumed—it could trigger side effects, modify state, or perform destructive operations.
From the tool's definition Tool description states 'Run until the current function returns (MI -exec-finish)', indicating execution of a debugger command that continues program execution until a function boundary.
Documented attack patterns abuse exactly the kind of access finish gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Pwno, and nothing reaches the server without passing your rules. This is the rule we recommend for finish:
{
"version": "1",
"default": "deny",
"tools": {
"finish": {
"limits": [
{
"counter": "finish_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}finish 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.
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Run until the current function returns (MI -exec-finish). It is categorised as a Execute tool in the Pwno MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Pwno MCP server in PolicyLayer and add a rule for finish: 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 Pwno. Nothing to install.
finish 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 finish 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 finish. 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.
finish is provided by the Pwno MCP server (pwno-io/pwno-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 36 Pwno tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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36 Pwno tools catalogued and risk-classified — across an index of 42,500+ MCP servers.