| name | performing-subdomain-enumeration-with-subfinder |
| description | Enumerate subdomains of target domains using ProjectDiscovery's Subfinder passive reconnaissance tool to map the attack surface during security assessments. Use when working with performing subdomain enumeration with subfinder. |
| domain | cybersecurity |
| tags | ["subdomain-enumeration","reconnaissance","bug-bounty","attack-surface","subfinder","passive-recon","osint"] |
| subdomain | web-application-security |
| version | 1.0 |
| author | oyi77 |
| license | Apache-2.0 |
| nist_csf | ["PR.PS-01","ID.RA-01","PR.DS-10","DE.CM-01"] |
Performing Subdomain Enumeration With Subfinder
Overview
Cybersecurity skill for performing subdomain enumeration with subfinder. Follows industry best practices and security standards.
When to Use
Trigger phrases:
-
"performing subdomain enumeration with subfinder"
-
"Enumerate subdomains of target domains using ProjectDiscovery's Subfinder passiv"
-
During the reconnaissance phase of penetration testing or bug bounty hunting
-
When mapping the external attack surface of a target organization
-
Before performing vulnerability scanning on discovered subdomains
-
When building an asset inventory for continuous security monitoring
-
During red team engagements requiring passive information gathering
When NOT to Use
- When you lack proper authorization for testing
- For production systems without change management
- When the task requires legal or compliance expertise beyond technical scope
Prerequisites
- Go 1.21+ installed for building from source
- Subfinder v2 installed (
go install -v github.com/projectdiscovery/subfinder/v2/cmd/subfinder@latest)
- API keys configured for passive sources (Shodan, Censys, VirusTotal, SecurityTrails, Chaos)
- Provider configuration file at
$HOME/.config/subfinder/provider-config.yaml
- Network access to passive DNS and certificate transparency sources
- httpx or httprobe for validating discovered subdomains
Workflow
import re
IOC_PATTERNS = {
"ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
"domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
"hash_md5": r"\b[a-f0-9]{32}\b",
"hash_sha256": r"\b[a-f0-9]{64}\b",
}
def extract_iocs(text: str) -> dict:
return {k: re.findall(v, text) k, v IOC_PATTERNS.items()}