How to Start Bug Bounty With Zero Experience (Realistic Guide)

Most bug bounty guides tell you to "pick a program and start hacking." That advice is useless when you don't know what you're looking for. This is the realistic version — what you actually need to know before you touch a real target, and how to build up to a valid report.

What bug bounty actually is (and isn't)

Companies pay researchers to find vulnerabilities in their systems before attackers do. Platforms like HackerOne and Bugcrowd host programmes from companies ranging from startups to Google and the US Department of Defense.

What it isn't: a shortcut to money with no skill. The low-hanging fruit that paid $500 in 2015 gets you a duplicate or an N/A now. The bar has gone up significantly. The researchers consistently making money are genuinely skilled.

Phase 1: Learn the vulnerability classes (weeks 1–8)

You can't find what you don't understand. Before touching a live target, you need to understand how these vulnerabilities work mechanically:

• —SQL Injection — how databases process queries, how injection changes them
• —XSS — how browsers execute JavaScript, what context matters
• —IDOR — how objects get referenced and why authorisation checks get skipped
• —SSRF — how servers make HTTP requests and how to redirect them
• —Authentication flaws — broken password resets, session management issues
• —Business logic — things that are "working as designed" but shouldn't be

For each one: read how it works, then exploit it in a controlled lab. Understanding without practice doesn't transfer to real targets.

Phase 2: Learn to use the tools

You need to be comfortable with:

• —Burp Suite — intercept, modify, and replay HTTP requests. The proxy is non-negotiable.
• —Browser dev tools — reading source, watching network requests, debugging JS
• —nmap — basic host and service enumeration
• —The terminal — Linux command line, scripting basics, curl

You don't need to master everything at once. Burp Suite Community Edition is free and covers 90% of what you'll do on web targets.

Phase 3: Pick your first programme carefully

Don't start with Google or Facebook. Their attack surface is enormous, their security teams are world-class, and every obvious thing has been found a hundred times.

Start here instead:

• —Wildcard programmes — more surface area, less competition on individual endpoints
• —Newer programmes — less researcher traffic, more fresh bugs
• —Programmes with a wide scope — more to test means more chances
• —Programmes with public disclosed reports — read what others found. It tells you what the app does and what's already been reported.

What recon actually looks like

Reconnaissance is mapping the attack surface before you start poking at it. For a web target:

# Find subdomains
subfinder -d example.com | httpx

# Look for old JS files with exposed endpoints
gau example.com | grep "\.js"

# Check for known vulnerabilities in tech stack
whatweb https://example.com

The goal is to find parts of the application that are less audited — admin panels, API endpoints, mobile API backends, staging environments left publicly accessible.

Writing a report that gets paid

A vulnerability without a clear report is worth less than it should be. Your report needs:

• —Title — specific, not "XSS found" — write "Stored XSS in /profile/bio allows session hijacking"
• —Severity — CVSS score with justification
• —Steps to reproduce — exact steps, numbered, that anyone can follow
• —Proof of concept — a screenshot or video showing exploitation. For XSS: an alert showing the session cookie. For IDOR: data belonging to another account.
• —Impact — explain what an attacker could actually do, not just that the bug exists
• —Remediation — optional but appreciated

Realistic timeline

If you're starting from scratch and putting in serious hours, a realistic path looks like this:

• —Month 1–2 — learning vuln classes + tool fundamentals
• —Month 3–4 — CTFs and practice labs
• —Month 5–6 — first programme, expect a lot of N/As and duplicates
• —Month 6–12 — first valid report, likely a low or medium
• —Year 1+ — consistent reports, higher severity findings

Anyone promising faster results is selling you something. The researchers making serious money treat this as a craft developed over years.