Files
compliance-scanner-agent/compliance-dast/src/tools/api_fuzzer.rs
Sharang Parnerkar 71d8741e10 feat: AI-driven automated penetration testing system
Add a complete AI pentest system where Claude autonomously drives security
testing via tool-calling. The LLM selects from 16 tools, chains results,
and builds an attack chain DAG.

Core:
- PentestTool trait (dyn-compatible) with PentestToolContext/Result
- PentestSession, AttackChainNode, PentestMessage, PentestEvent models
- 10 new DastVulnType variants (DNS, DMARC, TLS, cookies, CSP, CORS, etc.)
- LLM client chat_with_tools() for OpenAI-compatible tool calling

Tools (16 total):
- 5 agent wrappers: SQL injection, XSS, auth bypass, SSRF, API fuzzer
- 11 new infra tools: DNS checker, DMARC checker, TLS analyzer,
  security headers, cookie analyzer, CSP analyzer, rate limit tester,
  console log detector, CORS checker, OpenAPI parser, recon
- ToolRegistry for tool lookup and LLM definition generation

Orchestrator:
- PentestOrchestrator with iterative tool-calling loop (max 50 rounds)
- Attack chain node recording per tool invocation
- SSE event broadcasting for real-time progress
- Strategy-aware system prompts (quick/comprehensive/targeted/aggressive/stealth)

API (9 endpoints):
- POST/GET /pentest/sessions, GET /pentest/sessions/:id
- POST /pentest/sessions/:id/chat, GET /pentest/sessions/:id/stream
- GET /pentest/sessions/:id/attack-chain, messages, findings
- GET /pentest/stats

Dashboard:
- Pentest dashboard with stat cards, severity distribution, session list
- Chat-based session page with split layout (chat + findings/attack chain)
- Inline tool execution indicators, auto-polling, new session modal
- Sidebar navigation item

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 19:23:21 +01:00

147 lines
5.7 KiB
Rust

use compliance_core::error::CoreError;
use compliance_core::traits::dast_agent::{DastAgent, DastContext, DiscoveredEndpoint, EndpointParameter};
use compliance_core::traits::pentest_tool::{PentestTool, PentestToolContext, PentestToolResult};
use serde_json::json;
use crate::agents::api_fuzzer::ApiFuzzerAgent;
/// PentestTool wrapper around the existing ApiFuzzerAgent.
pub struct ApiFuzzerTool {
http: reqwest::Client,
agent: ApiFuzzerAgent,
}
impl ApiFuzzerTool {
pub fn new(http: reqwest::Client) -> Self {
let agent = ApiFuzzerAgent::new(http.clone());
Self { http, agent }
}
fn parse_endpoints(input: &serde_json::Value) -> Vec<DiscoveredEndpoint> {
let mut endpoints = Vec::new();
if let Some(arr) = input.get("endpoints").and_then(|v| v.as_array()) {
for ep in arr {
let url = ep.get("url").and_then(|v| v.as_str()).unwrap_or_default().to_string();
let method = ep.get("method").and_then(|v| v.as_str()).unwrap_or("GET").to_string();
let mut parameters = Vec::new();
if let Some(params) = ep.get("parameters").and_then(|v| v.as_array()) {
for p in params {
parameters.push(EndpointParameter {
name: p.get("name").and_then(|v| v.as_str()).unwrap_or_default().to_string(),
location: p.get("location").and_then(|v| v.as_str()).unwrap_or("query").to_string(),
param_type: p.get("param_type").and_then(|v| v.as_str()).map(String::from),
example_value: p.get("example_value").and_then(|v| v.as_str()).map(String::from),
});
}
}
endpoints.push(DiscoveredEndpoint {
url,
method,
parameters,
content_type: ep.get("content_type").and_then(|v| v.as_str()).map(String::from),
requires_auth: ep.get("requires_auth").and_then(|v| v.as_bool()).unwrap_or(false),
});
}
}
endpoints
}
}
impl PentestTool for ApiFuzzerTool {
fn name(&self) -> &str {
"api_fuzzer"
}
fn description(&self) -> &str {
"Fuzzes API endpoints to discover misconfigurations, information disclosure, and hidden \
endpoints. Probes common sensitive paths and tests for verbose error messages."
}
fn input_schema(&self) -> serde_json::Value {
json!({
"type": "object",
"properties": {
"endpoints": {
"type": "array",
"description": "Known endpoints to fuzz",
"items": {
"type": "object",
"properties": {
"url": { "type": "string" },
"method": { "type": "string", "enum": ["GET", "POST", "PUT", "PATCH", "DELETE"] },
"parameters": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": { "type": "string" },
"location": { "type": "string" },
"param_type": { "type": "string" },
"example_value": { "type": "string" }
},
"required": ["name"]
}
}
},
"required": ["url"]
}
},
"base_url": {
"type": "string",
"description": "Base URL to probe for common sensitive paths (used if no endpoints provided)"
}
}
})
}
fn execute<'a>(
&'a self,
input: serde_json::Value,
context: &'a PentestToolContext,
) -> std::pin::Pin<Box<dyn std::future::Future<Output = Result<PentestToolResult, CoreError>> + Send + 'a>> {
Box::pin(async move {
let mut endpoints = Self::parse_endpoints(&input);
// If a base_url is provided but no endpoints, create a default endpoint
if endpoints.is_empty() {
if let Some(base) = input.get("base_url").and_then(|v| v.as_str()) {
endpoints.push(DiscoveredEndpoint {
url: base.to_string(),
method: "GET".to_string(),
parameters: Vec::new(),
content_type: None,
requires_auth: false,
});
}
}
if endpoints.is_empty() {
return Ok(PentestToolResult {
summary: "No endpoints or base_url provided to fuzz.".to_string(),
findings: Vec::new(),
data: json!({}),
});
}
let dast_context = DastContext {
endpoints,
technologies: Vec::new(),
sast_hints: Vec::new(),
};
let findings = self.agent.run(&context.target, &dast_context).await?;
let count = findings.len();
Ok(PentestToolResult {
summary: if count > 0 {
format!("Found {count} API misconfigurations or information disclosures.")
} else {
"No API misconfigurations detected.".to_string()
},
findings,
data: json!({ "endpoints_tested": dast_context.endpoints.len() }),
})
})
}
}