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Introduction:
The transition from platforms like Bugcrowd to HackerOne (H1) and Intigriti represents a strategic shift for modern bug bounty hunters. Success on these competitive platforms requires a refined arsenal of reconnaissance, vulnerability identification, and exploitation techniques. This article provides the essential technical commands and methodologies to elevate your hunting game.
Learning Objectives:
- Master advanced reconnaissance and subdomain enumeration techniques.
- Understand and automate the detection of common web application vulnerabilities.
- Develop a methodology for efficient manual testing and proof-of-concept creation.
You Should Know:
1. Subdomain Enumeration Mastery
The foundation of any bug bounty program is discovering every possible attack surface. Subdomain enumeration often reveals forgotten development, testing, or staging environments that are less secure.
Command 1 (Amass): amass enum -passive -d target.com -o amass_passive.txt Command 2 (Subfinder): subfinder -d target.com -o subfinder.txt Command 3 (Assetfinder): assetfinder --subs-only target.com | tee assetfinder.txt Command 4 (AltDNS): altdns -i found_subdomains.txt -o data_output -w words.txt -r -s resolved_output.txt Command 5 (HTTPX): cat subdomains.txt | httpx -silent -threads 100 -o live_subdomains.txt
Step-by-step guide: Begin by passively enumerating subdomains with Amass and Subfinder to avoid direct target interaction. Combine and sort the results. Use AltDNS with a custom wordlist to permute discovered names, generating new possibilities. Finally, probe all gathered domains with HTTPX to identify live web servers, filtering out dead endpoints.
2. Content Discovery and Directory Bruteforcing
Hidden directories and files are a primary source of sensitive information disclosure, backup files, and administrative panels.
Command 6 (FFUF): ffuf -w /path/to/wordlist -u https://target.com/FUZZ -mc 200,403 -t 50 Command 7 (Gobuster): gobuster dir -u https://target.com -w /usr/share/wordlists/dirb/common.txt -x php,txt,bak Command 8 (Feroxbuster): feroxbuster -u https://target.com -x js,txt,json -n Command 9 (Gau): gau target.com | uro | tee gau_urls.txt Command 10 (Waybackurls): waybackurls target.com | grep -E ".js$" | tee js_urls.txt
Step-by-step guide: Use Gau and Waybackurls to fetch historical URLs from archives, filtering for JavaScript files which often contain API keys and endpoints. For active bruteforcing, FFUF is highly efficient. Specify common status codes (-mc 200,403) and use a large thread count. Always try different file extensions (-x) to discover backup copies of source code.
3. Vulnerability Scanning and Analysis
Automated scanners can help identify low-hanging fruit, but their results must always be manually verified to avoid false positives.
Command 11 (Nuclei): nuclei -u https://target.com -t /path/to/nuclei-templates/ -o nuclei_results.txt Command 12 (Nikto): nikto -h https://target.com -o nikto_scan.txt Command 13 (SQLmap): sqlmap -u "https://target.com/page.php?id=1" --batch --level=3 --risk=3 Command 14 (TestSSL): testssl.sh target.com:443 Command 15 (Gf Patterns): cat parameters.txt | gf xss | qsreplace '"><img src=x onerror=alert(1)>' | tee xss_test.txt
Step-by-step guide: Run a broad Nuclei scan with the community template library to check for common misconfigurations and known CVEs. For potential SQL injection points, use SQLmap with a higher risk and level for a deeper test. Always complement automated tools with manual testing; use `gf` patterns to filter parameter files for specific vulnerability classes and then craft payloads.
4. API Security Testing Endpoints
Modern applications are API-driven, making them a critical area for testing. Focus on authentication flaws, data exposure, and business logic errors.
Command 16 (Arjun): arjun -u https://api.target.com/v1/endpoint -o parameters.json Command 17 (Kiterunner): kr scan https://api.target.com/ -w ~/tools/kiterunner/routes-large.txt Command 18 (JWT_Tool): python3 jwt_tool.py <JWT_TOKEN> -C -d /path/to/wordlist Command 19 (Amass for APIs): amass enum -passive -brute -d target.com -config /path/to/config.ini -oA amass_api Command 20 (curl for Broken Auth): curl -X POST -H "Authorization: Bearer 12345" https://api.target.com/user/data
Step-by-step guide: Discover API endpoints using Kiterunner, which bruteforces routes. For each endpoint, use Arjun to find hidden parameters. Test JWT tokens for weak signatures using jwt_tool. Always test for Broken Object Level Access Control (BOLAC) by manipulating resource IDs in API requests using curl with a stolen or tampered token.
5. Cloud Infrastructure Hardening & Misconfigurations
A significant portion of modern breaches stems from misconfigured cloud storage, permissions, and services.
Command 21 (AWS S3 Bucket Check): aws s3 ls s3://bucket-name/ --no-sign-request Command 22 (S3Scanner): python3 s3scanner.py --out-file buckets.txt --scan-file domains.txt Command 23 (CloudFlare Bypass): curl -H "X-Forwarded-Host: canary" https://target.com Command 24 (GCP Bucket Check): gsutil ls gs://bucket-name/ Command 25 (ACL Check): aws s3api get-bucket-acl --bucket my-bucket --profile default
Step-by-step guide: Use S3Scanner to check a list of subdomains for common S3 bucket naming patterns. For any discovered bucket, try to list its contents without authentication (--no-sign-request). For GCP, use gsutil. Always check the Access Control Lists (ACLs) of any storage bucket to ensure they are not set to public-read. Test for WAF bypasses by injecting payloads into headers like X-Forwarded-Host.
What Undercode Say:
- The barrier to entry for bug bounty hunting is low, but the barrier to consistent success is exceptionally high, requiring deep technical knowledge and relentless automation.
- The most successful hunters are not those who find the most bugs, but those who develop the most efficient and repeatable methodologies for slicing up a target’s attack surface.
- The shift to H1 and Intigriti signifies a maturation of the bug bounty economy. These platforms offer more structured programs but also attract elite competition. The provided command arsenal is not a guarantee of success but a foundational toolkit. The critical differentiator will be the hunter’s ability to think creatively, chain vulnerabilities together, and understand business logic flaws that scanners cannot detect. Automation handles the breadth, but the human hunter must provide the depth.
Prediction:
The increasing sophistication of automated scanning tools will push the value of bug bounties higher up the stack. While common vulnerabilities will be auto-detected at scale, premium rewards will be reserved for complex, chained attacks that demonstrate a deep understanding of application architecture and business logic. We will see a rise in bounties paid for vulnerabilities in API-driven microservices, cloud misconfigurations, and logic flaws specific to AI/ML implementations, solidifying the need for hunters to possess cloud and development expertise alongside traditional penetration testing skills.
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IT/Security Reporter URL:
Reported By: https://lnkd.in/p/d9k-jr9K – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
