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fuzzmind

fuzzmind-frida-mcp

by fuzzmind

frida_string_sniffer

Capture runtime strings from process memory by hooking NSString and strlen functions to reveal decrypted data, tokens, and keys in obfuscated applications.

Instructions

Sniff strings as they are created at runtime in a target process.

Hooks string-producing functions to capture decoded, decrypted, or dynamically constructed strings:

  • ObjC: NSString -initWithBytes:length:encoding:, +stringWithUTF8String:

  • Native: strlen (with min_length filter)

target: process name or pid (string). min_length: minimum string length to capture (default 4). duration_seconds: how long to sniff (default 10).

Returns unique strings observed during the capture window. Useful for finding decrypted config, URLs, tokens, keys in obfuscated apps.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetYes
min_lengthNo
duration_secondsNo
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must disclose behavioral traits. It explains what hooks are used and that it returns unique strings, but fails to mention potential side effects like performance impact, process stability, or whether it modifies the target process. Safety considerations are absent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with a concise opening, bullet points for hooked methods, and parameter explanations. No verbose or redundant sentences. However, it could be slightly more streamlined in listing the hooks.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description only states 'Returns unique strings observed' without specifying the format (e.g., JSON array). It also doesn't cover how to stop early or if multiple calls can be made concurrently. The parameter defaults are clear, but additional context on output and lifecycle would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but the description provides clear explanations for each parameter: 'target' (process name/pid), 'min_length' (default 4), and 'duration_seconds' (default 10). This adds significant value beyond the schema's bare definitions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool 'sniffs strings as they are created at runtime in a target process', lists specific hooked functions (ObjC and native), and explains its utility for finding decrypted config, URLs, tokens, keys. This is specific and distinct from sibling tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives. The description implies it's for capturing runtime strings, but doesn't mention when not to use it or what other tools might be better suited (e.g., for static analysis or other hooks).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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