Stub the function at the given offset from main.
AI agents invoke switch_stub to trigger actions in Gdb Multiarch. 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.
Stubbing a function involves patching/modifying executable code at runtime (replacing function instructions with a stub, e.g., immediate return or redirect). This is an Execute/Write hybrid but since it modifies live executable code in a running process, Execute is the most appropriate category. Misuse could alter game logic in unintended ways, with high blast radius in a debugging or reverse-engineering context.
From the tool's definition 'Stub the function at the given offset from main' — stubbing a function patches executable code in memory to replace/intercept a function's behavior
Attacks that exploit this kind of access
Stub the function at the given offset from main. It is categorised as a Execute tool in the Gdb Multiarch MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Gdb Multiarch MCP server in PolicyLayer and add a rule for switch_stub: 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 Gdb Multiarch. Nothing to install.
switch_stub 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 switch_stub 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 switch_stub. 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.
switch_stub is provided by the Gdb Multiarch MCP server (sbergeron42/gdb-multiarch-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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