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IAZENT

HuntX

Official
by IAZENT

idor_fuzz_url

Detect IDOR/BOLA vulnerabilities by fuzzing URLs without needing a logged request. Automatically identifies ID parameters, mutates them, and compares responses to reveal broken access control.

Instructions

Fuzz a URL directly for IDOR/BOLA without needing a logged request.

Identifies ID parameters in the URL and body, mutates them, and compares responses to detect access control issues.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesFull URL to fuzz (e.g. "https://target.com/api/users/123").
bodyNoOptional request body.
methodYesHTTP method (GET, POST, etc.).
headersNoOptional request headers.
target_idYesIdentifier for the target.
candidate_idsNoOptional explicit IDs to try.
scope_excludeNoScope denylist patterns.
scope_includeNoScope allowlist patterns.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations are present, so the description carries the full transparency burden. It describes the core behavior: identifying ID parameters, mutating them, and comparing responses. This is meaningful, though it could elaborate on how response comparison detects issues (e.g., status codes, content length). Overall, it gives a solid behavioral overview for an active fuzzing tool.

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

Conciseness5/5

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

Two sentences, front-loaded with the main purpose, followed by a succinct workflow summary. No filler or redundant phrasing. Every word contributes to understanding the tool.

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

Completeness4/5

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

With 8 parameters, 3 required, and an output schema present, the description gives enough context to understand the tool's operation. It doesn't explain every parameter, but the schema covers those. The description could mention when to supply candidate_ids or scope-related parameters, but overall it is sufficiently complete for an agent to select and initially invoke the tool.

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

Parameters3/5

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

Schema coverage is 100%, so the schema already documents all parameters. The description adds minimal semantic value beyond the schema, mentioning 'URL and body' which maps to url/body params, and 'mutates them' implying the mutation behavior. This is adequate but does not significantly enhance parameter understanding.

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 a specific action ('Fuzz a URL directly') and the security goal (IDOR/BOLA detection). It distinguishes itself from siblings like 'idor_fuzz' by emphasizing no logged request is needed, making the tool's scope immediately clear.

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

Usage Guidelines4/5

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

The phrase 'without needing a logged request' implies when to use this tool compared to request-based alternatives. While it doesn't explicitly name sibling tools, this context provides clear usage guidance for an agent deciding between this and other fuzzing tools.

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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