This record as markdown: /tools/1shin-7-ya-frida-mcp/frida-memory-protect.md
What frida_memory_protect does on Ya Frida
AI agents invoke frida_memory_protect 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_memory_protect is rated High
Modifying memory protection flags (e.g., making memory executable, writable, or removing protections) is a privileged operation that affects the security posture of a running process. It triggers real-time changes in process memory permissions, enabling further exploitation or bypassing security controls. This is an active execution/system-level operation with significant blast radius if misused by an AI agent.
From the tool's definition Change memory protection flags
Attacks that exploit this kind of access
The rule that runs frida_memory_protect 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_memory_protect, this is the rule to start with:
frida_memory_protect 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_memory_protect call is checked against it from then on.
Questions about frida_memory_protect
Change memory protection flags. 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_memory_protect: 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_memory_protect 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_memory_protect 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_memory_protect. 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_memory_protect 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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