获取全局 hook/log 文本缓冲(非消费模式)。 Args: - max_messages: 返回的最大条数(默认 100) Returns: - {status, messages, remaining}
AI agents call get_messages 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.
The tool retrieves log/hook messages from a buffer without consuming or modifying them. This is a read operation. Severity is medium rather than low because in the context of Frida (a dynamic analysis framework that can hook sensitive APIs), the logs retrieved may contain sensitive runtime data such as function arguments, return values, or user interactions from the hooked application, which could be misused if an…
From the tool's definition Tool name 'get_messages' and description state it retrieves/gets from a 'global hook/log text buffer' (non-consumption mode). Returns status, messages, and remaining count. No modification or side effects indicated.
Documented attack patterns abuse exactly the kind of access get_messages 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_messages:
{
"version": "1",
"default": "deny",
"tools": {
"get_messages": {}
}
} get_messages is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
获取全局 hook/log 文本缓冲(非消费模式)。 Args: - max_messages: 返回的最大条数(默认 100) Returns: - {status, messages, remaining}. 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_messages: 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_messages 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_messages 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_messages. 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_messages 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.
Free to start. No card required.
8 Frida tools catalogued and risk-classified — across an index of 42,500+ MCP servers.