获取当前前台应用信息。 - 返回: {status, application?{identifier,name,pid}, message?}
AI agents call get_frontmost_application to retrieve information from Frida without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a Read operation as it retrieves data about the currently active application without side effects. Severity is medium because knowing which app is in the foreground could enable targeted attacks (e.g., injecting scripts into sensitive apps), but the tool itself only observes; it does not execute or modify anything.
From the tool's definition Tool name 'get_frontmost_application' and description state it retrieves current foreground application information (identifier, name, pid). No modification or execution occurs—it queries application state.
Documented attack patterns abuse exactly the kind of access get_frontmost_application gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Frida, and nothing reaches the server without passing your rules. This is the rule we recommend for get_frontmost_application:
{
"version": "1",
"default": "deny",
"tools": {
"get_frontmost_application": {}
}
}get_frontmost_application is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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获取当前前台应用信息。 - 返回: {status, application?{identifier,name,pid}, message?}. It is categorised as a Read tool in the Frida MCP Server, which means it retrieves data without modifying state.
Register the Frida MCP server in PolicyLayer and add a rule for get_frontmost_application: 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 Frida. Nothing to install.
get_frontmost_application is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_frontmost_application 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 get_frontmost_application. 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.
get_frontmost_application is provided by the Frida MCP server (zhizhuodemao/frida-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 8 Frida tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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8 Frida tools catalogued and risk-classified — across an index of 42,500+ MCP servers.