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Subdomain enumeration is a critical phase in both penetration testing and bug hunting. Many tools claim to excel in this task, but which one delivers the best results? A quick comparison was conducted between four popular tools: Subenum, Spyhunt, Knockpy, and Sublist3r. The evaluation measured the number of subdomains discovered and those responding with an HTTP 200 status code.
You Should Know:
1. Subenum
Subenum integrates multiple subdomain discovery techniques, including Subfinder, making it a powerful automated tool.
Installation & Usage:
git clone https://github.com/example/subenum.git cd subenum pip install -r requirements.txt python subenum.py -d example.com
Key Features:
- Supports passive and active enumeration.
- Integrates with multiple APIs (VirusTotal, SecurityTrails).
2. Spyhunt
A newer tool focusing on fast subdomain discovery with minimal false positives.
Installation:
go install github.com/example/spyhunt@latest
Basic Command:
spyhunt -d example.com -o results.txt
3. Knockpy
Knockpy uses wordlists and permutation scanning to discover subdomains.
Installation:
pip install knockpy
Usage:
knockpy example.com
Advanced Scanning:
knockpy example.com -w wordlist.txt --threads 20
4. Sublist3r
A Python-based tool that scrapes search engines and certificate logs.
Installation:
git clone https://github.com/aboul3la/Sublist3r.git cd Sublist3r pip install -r requirements.txt
Execution:
python sublist3r.py -d example.com -o subdomains.txt
What Undercode Say:
Subdomain enumeration is essential for attack surface mapping. While automated tools like Subenum and Sublist3r speed up the process, manual verification reduces false positives. For deeper analysis, combine these tools with:
- DNS Recon:
dnsrecon -d example.com -t std,axfr,brt
-
MassDNS for Bruteforce:
./massdns -r resolvers.txt -t A -w results.txt domains.txt
-
HTTP Probing with httpx:
cat subdomains.txt | httpx -status-code -title -o live_subdomains.txt
For Windows users, PowerShell alternatives exist:
Invoke-WebRequest -Uri "https://example.com" -Method Head
Expected Output:
A comprehensive subdomain list, filtered live hosts, and HTTP responses for further exploitation.
Conclusion:
Each tool has strengths—Subenum for automation, Knockpy for bruteforce, and Sublist3r for passive scraping. Combining them maximizes coverage.
Expected Output:
example.com admin.example.com (200) dev.example.com (200) test.example.com (404)
References:
Reported By: UgcPost 7320711449197088770 – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅


