frida_inject_library_blob
A execute tool on the Ya Frida MCP server.
This record as markdown: /tools/1shin-7-ya-frida-mcp/frida-inject-library-blob.md
What frida_inject_library_blob does on Ya Frida
AI agents invoke frida_inject_library_blob 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_library_blob is rated High
Library injection via Frida involves loading arbitrary code into a target process's memory space at runtime, which constitutes code execution. Even with an empty description, the tool name clearly indicates dynamic library injection — a powerful and potentially dangerous operation. In a misuse scenario, an AI agent could inject malicious code into any running process, compromising system integrity.
From the tool's definition Tool name 'frida_inject_library_blob' and server context 'Frida dynamic instrumentation' — injecting a library blob into a running process is a code execution operation with broad system impact.
Attacks that exploit this kind of access
The rule that runs frida_inject_library_blob 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_library_blob, this is the rule to start with:
frida_inject_library_blob 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_library_blob call is checked against it from then on.
Questions about frida_inject_library_blob
frida_inject_library_blob 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_library_blob: 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_library_blob 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_library_blob 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_library_blob. 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_library_blob 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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