performing-adversary-in-the-middle-phishing-detection▌
mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026
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Detect and respond to Adversary-in-the-Middle (AiTM) phishing attacks that use reverse proxy kits like EvilProxy, Evilginx, and Tycoon 2FA to bypass MFA and steal session tokens.
| name | performing-adversary-in-the-middle-phishing-detection |
| description | Detect and respond to Adversary-in-the-Middle (AiTM) phishing attacks that use reverse proxy kits like EvilProxy, Evilginx, and Tycoon 2FA to bypass MFA and steal session tokens. |
| domain | cybersecurity |
| subdomain | phishing-defense |
| tags | - aitm - evilproxy - evilginx - phishing - mfa-bypass - session-hijacking - reverse-proxy - credential-theft |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| nist_csf | - PR.AT-01 - DE.CM-09 - RS.CO-02 - DE.AE-02 |
Performing Adversary-in-the-Middle Phishing Detection
Overview
Adversary-in-the-Middle (AiTM) phishing attacks use reverse-proxy infrastructure to sit between the victim and the legitimate authentication service, intercepting both credentials and session cookies in real time. This allows attackers to bypass multi-factor authentication (MFA). The most prevalent PhaaS kits in 2025 include Tycoon 2FA, Sneaky 2FA, EvilProxy, and Evilginx. Over 1 million PhaaS attacks were detected in January-February 2025 alone. These attacks have evolved from QR codes to HTML attachments and SVG files for link distribution.
When to Use
- When conducting security assessments that involve performing adversary in the middle phishing detection
- When following incident response procedures for related security events
- When performing scheduled security testing or auditing activities
- When validating security controls through hands-on testing
Prerequisites
- Azure AD / Entra ID Conditional Access policies
- SIEM with authentication log ingestion (Azure AD sign-in logs)
- Web proxy with SSL inspection and URL categorization
- Endpoint Detection and Response (EDR) solution
- FIDO2/phishing-resistant MFA capability
Key Concepts
How AiTM Works
- Victim receives phishing email with link to attacker-controlled domain
- Attacker domain runs reverse proxy that mirrors legitimate login page
- Victim enters credentials on proxied page; credentials captured in transit
- Reverse proxy forwards credentials to real authentication service
- MFA challenge sent to victim; victim completes MFA on proxied page
- Attacker captures session cookie returned by legitimate service
- Attacker replays session cookie to access victim's account without MFA
Major AiTM Kits (2025)
| Kit | Type | Primary Targets | Evasion |
|---|---|---|---|
| Tycoon 2FA | PhaaS | Microsoft 365, Google | CAPTCHA, Cloudflare turnstile |
| EvilProxy | PhaaS | Microsoft 365, Google, Okta | Random URLs, IP rotation |
| Evilginx | Open-source | Any web application | Custom phishlets |
| Sneaky 2FA | PhaaS | Microsoft 365 | Anti-bot checks |
| NakedPages | PhaaS | Multiple | Minimal infrastructure |
Detection Indicators
- Authentication from unusual IP not matching user profile
- Session cookie reuse from different IP/device than authentication
- Login page served from non-Microsoft/non-Google infrastructure
- CDN requests to legitimate auth providers from phishing domains
- Impossible travel between authentication and session usage
Workflow
Step 1: Deploy Phishing-Resistant MFA
- Implement FIDO2 security keys or Windows Hello for Business for high-value accounts
- Configure Conditional Access to require phishing-resistant MFA for admins
- Enable certificate-based authentication where possible
- Disable SMS and voice MFA for privileged accounts
- AiTM cannot intercept FIDO2 because authentication is bound to origin domain
Step 2: Configure Conditional Access Policies
- Require compliant/managed device for sensitive application access
- Block authentication from anonymous proxies and Tor exit nodes
- Enforce token binding to limit session cookie replay
- Configure continuous access evaluation (CAE) for real-time token revocation
- Implement sign-in risk policies that require re-authentication for risky sign-ins
Step 3: Build AiTM Detection Rules
- Alert on sign-in followed by session from different IP within 10 minutes
- Detect authentication where proxy IP does not match user's expected location
- Monitor for impossible travel patterns in session usage
- Alert on inbox rules created immediately after authentication (common post-compromise)
- Detect new MFA method registration from suspicious sign-in
Step 4: Monitor Web Proxy for AiTM Infrastructure
- Log and analyze DNS queries to newly registered domains
- Detect connections to known PhaaS infrastructure IPs
- Alert on authentication page backgrounds loaded from legitimate CDNs through proxy domains
- Monitor for SSL certificates issued to domains mimicking corporate login pages
- Block access to known EvilProxy/Evilginx infrastructure via threat intelligence
Step 5: Implement Post-Compromise Detection
- Alert on mailbox forwarding rules created after suspicious authentication
- Detect OAuth app consent after AiTM sign-in
- Monitor for email sending patterns indicating BEC follow-up
- Alert on SharePoint/OneDrive mass download after session hijack
- Track lateral movement from compromised account
Tools & Resources
- Microsoft Entra ID Protection: Risk-based Conditional Access
- Azure AD Sign-in Logs: Authentication event analysis
- Okta ThreatInsight: AiTM proxy detection at IdP level
- Sekoia TDR: AiTM campaign tracking and intelligence
- Evilginx (defensive): Understanding attack mechanics for detection
Validation
- Phishing-resistant MFA blocks AiTM session capture in test scenario
- Conditional Access denies session replay from different device/IP
- SIEM alerts fire on simulated AiTM sign-in patterns
- Web proxy blocks connections to known PhaaS infrastructure
- Post-compromise rules detect inbox rule creation after suspicious auth
How to use performing-adversary-in-the-middle-phishing-detection on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add performing-adversary-in-the-middle-phishing-detection
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches performing-adversary-in-the-middle-phishing-detection from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate performing-adversary-in-the-middle-phishing-detection. Access the skill through slash commands (e.g., /performing-adversary-in-the-middle-phishing-detection) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★75 reviews- ★★★★★Benjamin Thompson· Dec 28, 2024
performing-adversary-in-the-middle-phishing-detection is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Benjamin Martinez· Dec 24, 2024
Useful defaults in performing-adversary-in-the-middle-phishing-detection — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Ganesh Mohane· Dec 20, 2024
Solid pick for teams standardizing on skills: performing-adversary-in-the-middle-phishing-detection is focused, and the summary matches what you get after install.
- ★★★★★Camila Ghosh· Dec 16, 2024
I recommend performing-adversary-in-the-middle-phishing-detection for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Yusuf Dixit· Dec 4, 2024
Useful defaults in performing-adversary-in-the-middle-phishing-detection — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Kabir Singh· Nov 23, 2024
performing-adversary-in-the-middle-phishing-detection is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Yuki Malhotra· Nov 19, 2024
Useful defaults in performing-adversary-in-the-middle-phishing-detection — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Diego Malhotra· Nov 15, 2024
performing-adversary-in-the-middle-phishing-detection is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Sakshi Patil· Nov 11, 2024
We added performing-adversary-in-the-middle-phishing-detection from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Lucas Kim· Nov 7, 2024
Keeps context tight: performing-adversary-in-the-middle-phishing-detection is the kind of skill you can hand to a new teammate without a long onboarding doc.
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