This record as markdown: /tools/1shin-7-ya-frida-mcp/frida-inject.md
What frida_inject does on Ya Frida
AI agents invoke frida_inject to trigger actions in Ya Frida. 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 frida_inject is rated High
Frida is a dynamic instrumentation framework; 'inject' in this context almost certainly refers to injecting a script or payload into a running process, which constitutes arbitrary code execution within that process. The blast radius is critical as it can compromise any running process, including privileged ones.
From the tool's definition Tool name 'frida_inject' on a server described as enabling 'dynamic instrumentation' for 'devices, processes, scripts, memory' — injection implies running/loading code into a live process.
Attacks that exploit this kind of access
The rule that runs frida_inject safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ya Frida, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For frida_inject, this is the rule to start with:
frida_inject 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 Ya Frida, apply this rule, and every frida_inject call is checked against it from then on.
Questions about frida_inject
frida_inject is a execute tool on the Ya Frida MCP server. It is categorised as a Execute tool in the Ya Frida MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ya Frida MCP server in PolicyLayer and add a rule for frida_inject: 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 Ya Frida. Nothing to install.
frida_inject 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 frida_inject 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 frida_inject. 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.
frida_inject is provided by the Ya Frida MCP server (1shin-7/ya-frida-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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