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Bug Bounty Tutorial Exclusive !link! ⭐

To secure high-paying critical (P1/P2) bugs, focus on advanced, logic-based vulnerabilities. Business Logic Flaws

Used for automating customized attacks, such as fuzzing parameters or brute-forcing endpoints.

Alex used a custom AI tool to handle the mundane tasks—scanning subdomains and mapping the attack surface. But the AI missed what Alex found: a complex logic flaw. By chaining a simple with a misconfigured IDOR (Insecure Direct Object Reference) , Alex realized they could not just view, but edit the administrative dashboard of a global logistics hub. Step 3: The $40,000 Lesson

httpx -l subdomains.txt -silent -o live_subdomains.txt naabu -l live_subdomains.txt -top-ports 1000 Use code with caution. bug bounty tutorial exclusive

This involves finding every related domain owned by a company. Use tools like Amass or Subfinder to map out the entire organization. Look for acquisitions; these often have weaker security than the parent company. Vertical Discovery

Instead of scanning 10,000 subdomains superficiality, pick one complex application, map every single feature, understand its roles, and test it exhaustively for days. Share public link

Reconstruct hidden API documentation by analyzing the parameters required in fetch or axios HTTP requests embedded in the JS code. Hunting for Hardcoded Secrets To secure high-paying critical (P1/P2) bugs, focus on

To join the top 1% of earners, you must move away from the "script kiddie" mindset and adopt the habits of professional security researchers.

While most hunters "spray and pray" across fifty programs, Alex chose a single private target and stayed there for three weeks. This "Go Deep, Not Wide" philosophy is how modern hunters survive in the .

Automation is a double‑edged sword. Use it only during recon and for low‑noise scanning. Never run Nuclei against a live production program without throttling (e.g., -rl 5 for 5 requests per second). But the AI missed what Alex found: a complex logic flaw

You change the id parameter to 1002 . If you see another user's private data, you have found an IDOR.

Avoid the giants (Google, Facebook, Microsoft) for your first 5–10 reports. They receive thousands of reports daily. Instead, target smaller programs with fewer active hunters. Use filters like “less than 100 reports submitted” or “new program” on HackerOne.