Find vulnerabilities before attackers do. IndexTracer deploys autonomous AI agents that discover, test, and report security weaknesses in your web applications.
> Starting scan on https://target.example.com
[recon] Discovering endpoints...
[recon] Found 47 endpoints, 12 with parameters
[attack] Testing for injection vulnerabilities...
[finding] SQL Injection in /api/users?id= (A03:2021)
[finding] Broken Access Control on /admin/config (A01:2021)
[complete] Scan finished — 3 critical, 5 high, 12 medium findings
▌Powered by large language models and autonomous agents that think like real penetration testers.
Autonomous agents discover hidden endpoints, parameters, and attack surfaces using LLM-driven reconnaissance.
Intelligent exploit generation crafts context-aware payloads that mimic real attacker behavior.
Every finding is automatically categorized against the OWASP Top 10 for actionable remediation.
Watch the scan unfold live with streaming logs, discovered endpoints, and exploit chains as they happen.
Three steps from target to findings.
Enter your target URL and set scan parameters. Control scope, depth, and dry-run mode.
Our autonomous agents discover endpoints, test for vulnerabilities, and chain exploits together.
Get a comprehensive report with severity ratings, OWASP categories, and detailed exploit chains.
Attack Coverage
IndexTracer actively exploits eight vulnerability classes using real attack techniques — not just passive scanning.
Union-based, blind time-based, and error-based SQLi with automated schema extraction.
Server-side request forgery probes targeting cloud metadata endpoints, internal services, and IMDS.
IDOR detection across sequential and randomised resource IDs with privilege escalation chaining.
Reflected, stored, and DOM-based cross-site scripting with payload mutation and bypass detection.
Path traversal sequences targeting sensitive Linux and Windows system files and config.
AI-specific attacks against LLM-integrated APIs — jailbreaks, instruction hijacking, data leakage.
Token manipulation, JWT forgery, and session fixation attacks against authentication flows.
Composite CVSS-scored attack chains that combine multiple vulnerabilities into a single kill-chain.
FAQ
Traditional pentests happen once a year, take weeks, and produce a static PDF. IndexTracer runs on demand — every new deployment, config change, or emerging threat is tested in real time. Our AI agents chain findings across your entire stack, uncovering attack paths that point-in-time assessments consistently miss.
Our agents go beyond what basic scanners catch. They detect reflected XSS, SQL injection, SSRF, missing security headers, authentication flaws, information disclosure, cookie misconfigurations, CSRF vulnerabilities, and LLM-specific attacks like prompt injection and data leakage. Every finding includes CVE references, evidence, and step-by-step remediation.
The agent uses a Playwright-powered crawler to map your attack surface — pages, endpoints, APIs, and forms. It then systematically tests each target using real payloads, analyzes responses with Gemini AI, and chains findings into a comprehensive security report. Unlike static scanners, it reasons about what it finds and adapts its approach.
Yes. All tests are non-destructive and observation-based — we inject payloads and observe responses without modifying target data. Built-in safety controls block destructive keywords, and you can run scans in dry-run mode to discover endpoints without executing any attack payloads.
Web applications, REST and GraphQL APIs, single-page apps (React, Angular, Vue), server-rendered sites, and AI/LLM chatbot endpoints. You can scan by domain name or IP address, with optional authenticated scanning using bearer tokens, cookies, basic auth, or custom headers.