Record open ports and services. Note headers like X-ctf or odd cookies.
Phase 2 — Enumeration (Web & App)
EN: Web enumeration — directory fuzzing, JS analysis, API auditing, and collection of endpoints. Look for hidden uploaders, backup files, or dev endpoints.
HINGLISH: Web enumeration — dir fuzz, JS check, API audit. Hidden upload portals, backups dhundho.
terminal@enum:~#
# dir brute
gobuster dir -u http://10.10.10.42 -w /usr/share/wordlists/dirb/common.txt -t 50 -o scans/gobuster.txt
If you find /api/notes or /api/backup — test parameter handling carefully in lab.
Phase 3 — Exploit (Lab-Only Steps)
EN: Use controlled POSTs and parameter fuzzing. If you discover a token mechanism, replay tokens safely in your isolated VM. The aim is initial shell or credential leak.
HINGLISH: Controlled POSTs aur parameter fuzzing karo. Token mile toh lab VM mein replay karo. Maksad initial foothold.
terminal@exploit:~#
# safe probe: post JSON (lab)
curl -s -X POST http://10.10.10.42/api/notes -H "Content-Type: application/json" \
-d '{"title":"test","body":"probe","token":""}' | jq .
If response prints a backup link or hash — note it. Avoid brute-force on real services.
If you recover a hash: use offline cracking in your lab (john / hashcat) with known wordlists. Respect legal boundaries.
terminal@exploit:~#
# offline crack (lab)
john --wordlist=/usr/share/wordlists/rockyou.txt recovered_hash.txt
Result may yield credentials like fsociety123 (example).