Detach Frida session from an Android app, removing injected scripts.
AI agents invoke interceptor_frida_detach to trigger actions in Proxy. 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 terminates an active Frida instrumentation session and removes previously injected scripts from an Android application. It executes an action (detaching a dynamic instrumentation session) that modifies the runtime state of a process. While it removes injected scripts (a form of cleanup), the act of detaching is an active execution operation against a running process.
From the tool's definition Detach Frida session from an Android app, removing injected scripts
Documented attack patterns abuse exactly the kind of access interceptor_frida_detach gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Proxy, and nothing reaches the server without passing your rules. This is the rule we recommend for interceptor_frida_detach:
{
"version": "1",
"default": "deny",
"tools": {
"interceptor_frida_detach": {
"limits": [
{
"counter": "interceptor_frida_detach_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} interceptor_frida_detach 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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Detach Frida session from an Android app, removing injected scripts. It is categorised as a Execute tool in the Proxy MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Proxy MCP server in PolicyLayer and add a rule for interceptor_frida_detach: 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 Proxy. Nothing to install.
interceptor_frida_detach 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 interceptor_frida_detach 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 interceptor_frida_detach. 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.
interceptor_frida_detach is provided by the Proxy MCP server (yfe404/proxy-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Proxy, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
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