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Automate Your Bug Bounty Workflow: From Recon to Report in Minutes

Bug bounty hunting is a grind. You spend hours on reconnaissance, sifting through subdomains, probing endpoints, and manually testing findings — only to have half your reports marked as duplicates or out of scope. What if you could automate the repetitive parts and focus on what actually matters: finding real vulnerabilities?

That's exactly what the Bug Bounty Automation Kit does. It's a $15 toolkit that bundles battle-tested scripts, templates, and workflows to cut your recon-to-report time by 80% or more.

What's Inside the Kit

The kit is built around four core automation modules:

1. Recon Pipeline

Stop running subfinder, httpx, and nuclei manually. The kit ships with a chained pipeline that takes a root domain and produces a clean, deduplicated list of live targets with fingerprinting data — all in one command. It handles rate limiting, retries, and output formatting so you don't have to.

./recon.sh example.com
# Output: clean_targets.txt, tech_stack.json, screenshots/
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2. Vulnerability Scanners

Pre-configured Nuclei templates and custom Python scanners cover the most common bounty-worthy bugs: XSS, SQLi, SSRF, IDOR, open redirects, and subdomain takeovers. Each scanner produces structured JSON output ready for triage.

3. Report Generator

Writing reports is the least fun part of bug bounty. The kit includes a Python script that takes vulnerability JSON output and generates a clean, professional report in Markdown or PDF — complete with reproduction steps, impact statements, and CVSS scoring. Most platforms (HackerOne, Bugcrowd, Intigriti) accept these reports as-is.

4. Scope Manager

Ever wasted two hours on a finding only to realize it's out of scope? The scope manager ingests program policy pages and automatically filters your scan results against scope rules. No more embarrassing out-of-scope submissions.

Why Automation Matters

Here's a real scenario: I ran the kit against a medium-sized program with ~200 subdomains. Manual recon would have taken me 4-5 hours. The pipeline finished in 12 minutes and surfaced 14 high-confidence findings. Two of those turned into paid bounties within 48 hours.

Time is the scarcest resource in bug bounty hunting. The hunters who win are the ones who cover the most ground the fastest. Automation isn't cheating — it's table stakes.

Getting Started

  1. Grab the kit from LemonSqueezy ($15, one-time purchase)
  2. Install dependencies: pip install -r requirements.txt
  3. Add your target domains to targets.txt
  4. Run ./recon.sh and let it rip
  5. Triage the findings with the built-in report generator

The kit also integrates nicely with the AI Agent Toolkit (available here) if you want to add LLM-powered triage — automatically classify findings by severity, generate remediation advice, and even draft report narratives.

Pro Tips

  • Run it on a VPS. Don't hammer target servers from your home IP. A $5/month DigitalOcean droplet works perfectly.
  • Rotate your tooling. Customize the Nuclei templates and add your own wordlists. The kit is fully extensible.
  • Track your stats. Use the built-in CSV logger to see which techniques are producing the most valid findings over time.

Is It Worth $15?

If you're doing bug bounty casually, maybe not. But if you're submitting even 2-3 reports per month, the time savings alone pay for the kit in the first week. One valid medium-severity finding covers the cost 50x over.

Stop wasting time on recon. Automate the boring stuff and hunt smarter.


Got questions? Drop them in the comments. Happy hunting!

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