AGENT SKILL

performing-subdomain-enumeration-with-subfinder

Enumerate subdomains of target domains using ProjectDiscovery's Subfinder passive reconnaissance tool to map the attack surface during security assessments.

License 许可
Apache-2.0
最近更新
2026-08-31
Stars
★ 3.6w
Forks
4.4k

01 前言 Front Matter

name
performing-subdomain-enumeration-with-subfinder
tags
[ "subdomain-enumeration", "reconnaissance", "bug-bounty", "attack-surface", "subfinder", "passive-recon", "osint" ]
author
mahipal
domain
cybersecurity
license
Apache-2.0
version
1.0
nist_csf
[ "PR.PS-01", "ID.RA-01", "PR.DS-10", "DE.CM-01" ]
subdomain
web-application-security
description
Enumerate subdomains of target domains using ProjectDiscovery's Subfinder passive reconnaissance tool to map the attack surface during security assessments.
mitre_attack
[ "T1190", "T1059.007", "T1505.003", "T1083", "T1595" ]

02 资源文件 7

03 SKILL.md 正文

Performing Subdomain Enumeration with Subfinder

When to Use

  • 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

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

Step 1 — Install and Configure Subfinder

# Install subfinder
go install -v github.com/projectdiscovery/subfinder/v2/cmd/subfinder@latest

# Verify installation
subfinder -version

# Configure API keys for enhanced results
mkdir -p $HOME/.config/subfinder
cat > $HOME/.config/subfinder/provider-config.yaml << 'EOF'
shodan:
  - YOUR_SHODAN_API_KEY
censys:
  - YOUR_CENSYS_API_ID:YOUR_CENSYS_API_SECRET
virustotal:
  - YOUR_VT_API_KEY
securitytrails:
  - YOUR_ST_API_KEY
chaos:
  - YOUR_CHAOS_API_KEY
EOF

Step 2 — Run Basic Subdomain Enumeration

# Single domain enumeration
subfinder -d example.com -o subdomains.txt

# Multiple domains from a file
subfinder -dL domains.txt -o all_subdomains.txt

# Use all passive sources (slower but more thorough)
subfinder -d example.com -all -o subdomains_all.txt

# Silent mode for piping to other tools
subfinder -d example.com -silent | httpx -silent -status-code

Step 3 — Filter and Customize Source Selection

# Use specific sources only
subfinder -d example.com -s crtsh,virustotal,shodan -o filtered.txt

# Exclude specific sources
subfinder -d example.com -es github -o results.txt

# Enable recursive subdomain enumeration
subfinder -d example.com -recursive -o recursive_subs.txt

# Match specific patterns
subfinder -d example.com -m "api,dev,staging" -o matched.txt

Step 4 — Control Rate Limiting and Output Format

# Rate limit to avoid API throttling
subfinder -d example.com -rate-limit 10 -t 5 -o rate_limited.txt

# JSON output for programmatic processing
subfinder -d example.com -oJ -o subdomains.json

# Output with source information
subfinder -d example.com -cs -o subdomains_with_sources.txt

# Collect results in a directory per domain
subfinder -dL domains.txt -oD ./results/

Step 5 — Validate Discovered Subdomains with httpx

# Pipe subfinder output to httpx for live validation
subfinder -d example.com -silent | httpx -silent -status-code -title -tech-detect -o live_hosts.txt

# Check for specific ports
subfinder -d example.com -silent | httpx -ports 80,443,8080,8443 -o web_services.txt

# Resolve IP addresses
subfinder -d example.com -silent | dnsx -a -resp -o resolved.txt

Step 6 — Integrate with Broader Recon Pipeline

# Chain with nuclei for vulnerability scanning
subfinder -d example.com -silent | httpx -silent | nuclei -t cves/ -o vulns.txt

# Combine with amass for comprehensive enumeration
subfinder -d example.com -o subfinder_results.txt
amass enum -passive -d example.com -o amass_results.txt
cat subfinder_results.txt amass_results.txt | sort -u > combined_subdomains.txt

# Screenshot discovered hosts
subfinder -d example.com -silent | httpx -silent | gowitness file -f - -P screenshots/

Key Concepts

Concept Description
Passive Enumeration Discovering subdomains without directly querying target DNS servers
Certificate Transparency Public logs of SSL/TLS certificates revealing subdomain names
DNS Aggregation Collecting subdomain data from multiple passive DNS databases
Recursive Enumeration Discovering subdomains of subdomains for deeper coverage
Source Providers External APIs and databases queried for subdomain intelligence
CNAME Records Canonical name records that may reveal additional infrastructure
Wildcard DNS DNS configuration returning results for any subdomain query

Tools & Systems

Tool Purpose
Subfinder Primary passive subdomain enumeration engine
httpx HTTP probe tool for validating live subdomains
dnsx DNS resolution and validation toolkit
Nuclei Template-based vulnerability scanner for discovered hosts
Amass Complementary subdomain enumeration with active/passive modes
gowitness Web screenshot utility for visual reconnaissance
Shodan Internet-wide scanning database for subdomain intelligence
crt.sh Certificate transparency log search engine

Common Scenarios

  1. Bug Bounty Reconnaissance — Enumerate all subdomains of a target program scope to identify forgotten or misconfigured assets that may contain vulnerabilities
  2. Attack Surface Mapping — Build a comprehensive inventory of externally accessible subdomains for ongoing security monitoring and risk assessment
  3. Cloud Asset Discovery — Identify subdomains pointing to cloud services (AWS, Azure, GCP) that may be vulnerable to subdomain takeover
  4. CI/CD Integration — Automate subdomain monitoring in pipelines to detect new subdomains and alert on changes to the attack surface
  5. Merger & Acquisition Due Diligence — Map the complete external footprint of an acquisition target during security assessment

Output Format

## Subdomain Enumeration Report
- **Target Domain**: example.com
- **Total Subdomains Found**: 247
- **Live Hosts**: 183
- **Unique IP Addresses**: 42
- **Sources Used**: crt.sh, VirusTotal, Shodan, SecurityTrails, Censys

### Discovered Subdomains
| Subdomain | IP Address | Status Code | Technology |
|-----------|-----------|-------------|------------|
| api.example.com | 10.0.1.5 | 200 | Nginx, Node.js |
| staging.example.com | 10.0.2.10 | 403 | Apache |
| dev.example.com | 10.0.3.15 | 200 | Express |

### Recommendations
- Remove DNS records for decommissioned subdomains
- Investigate subdomains with CNAME pointing to unclaimed services
- Restrict access to development and staging environments

04 同仓库更多 Skills

mukul975
mukul975/Anthropic-Cybersecurity-Skills

verifying-build-provenance-with-slsa-sigstore

Verifies artifact signatures and SLSA provenance using Sigstore's cosign (verify, verify-attestation, verify-blob-attestation) and slsa-verifier (verify-artifact), enforcing keyless OIDC builder identity and source repo against SLSA Build levels. Use in CI/CD before deploying artifacts, when consuming third-party attestations, establishing a SLSA Build L3 pipeline, or confirming provenance during incident response or admission control.

Skill与智能体开发
★ 3.6w
mukul975
mukul975/Anthropic-Cybersecurity-Skills

validating-tpm-measured-boot-attestation

Verifies TPM 2.0 measured-boot integrity and remote attestation with tpm2-tools -- reading PCRs (tpm2_pcrread), replaying the boot event log, generating and checking signed quotes (tpm2_quote/tpm2_checkquote), and sealing secrets to a PCR policy. Use to confirm a system booted trusted firmware/kernel for Zero Trust device posture, detect boot-chain tampering via PCR drift, or build a golden-value baseline for fleet attestation.

Skill与智能体开发
★ 3.6w
mukul975
mukul975/Anthropic-Cybersecurity-Skills

validating-backup-integrity-for-recovery

Validates backup integrity through cryptographic hash verification, automated restore testing, corruption detection, and recoverability checks to confirm backups are reliable for disaster recovery and ransomware response. Use before relying on backups for recovery, when building post-backup validation pipelines, auditing backup infrastructure for compliance, or checking immutable/air-gapped backups for silent corruption or tampering.

测试与质量Skill与智能体开发
★ 3.6w
mukul975
mukul975/Anthropic-Cybersecurity-Skills

triaging-windows-with-kape

Runs KAPE (Kroll Artifact Parser and Extractor) to collect targeted forensic artifacts (registry hives, $MFT, event logs, prefetch, browser data) via Targets and parse them with Modules wrapping Eric Zimmerman's EZ Tools (PECmd, MFTECmd, RECmd). Use during early incident containment/triage when full disk imaging is impractical but a defensible, parseable Windows artifact set is needed quickly, including at-scale remote collection.

Skill与智能体开发
★ 3.6w
mukul975
mukul975/Anthropic-Cybersecurity-Skills

triaging-vulnerabilities-with-ssvc-framework

Triages and prioritizes vulnerabilities with CISA's Stakeholder-Specific Vulnerability Categorization (SSVC) decision tree, weighing exploitation status (via the CISA KEV catalog and FIRST EPSS API), technical impact, automatability, and mission prevalence to output Track/Track*/Attend/Act decisions. Use when prioritizing vulnerability scan results (OpenVAS, Nessus, Qualys) for remediation planning beyond raw CVSS scores.

Skill与智能体开发
★ 3.6w
mukul975
mukul975/Anthropic-Cybersecurity-Skills

triaging-security-incident

Performs initial triage of security incidents using the NIST SP 800-61r3 and SANS PICERL frameworks, classifying incident type, assigning priority by business impact, and routing to the appropriate response team. Use when a SIEM/EDR alert needs human classification, concurrent alerts must be prioritized, or a user report or threat-intel IOC match requires initial incident categorization.

Skill与智能体开发
★ 3.6w