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performing-adversary-in-the-middle-phishing-detection

Has your agent detect phishing attacks that steal user sessions. It analyzes logs and alerts to identify when an attacker tries to bypass security.

What it does

This tool helps detect and respond to sophisticated phishing attacks called "Adversary-in-the-Middle" (AiTM). These attacks steal your credentials and session tokens, even with multi-factor authentication (MFA), by using fake websites that look real.

When to use it

  • ✓Investigating a suspected credential or session token theft.
  • ✓Testing if your phishing defenses can be bypassed.
  • ✓Building plans to detect and respond to these attacks.

Example of what to ask your AI

“Investigate a potential AiTM attack using sign-in logs and security alerts.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/mukul975/Anthropic-Cybersecurity-Skills/blob/main/skills/performing-adversary-in-the-middle-phishing-detection/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/mukul975/Anthropic-Cybersecurity-Skills/blob/main/skills/performing-adversary-in-the-middle-phishing-detection/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

It analyzes sign-in logs, security alerts, and endpoint data to identify suspicious activity. This includes checking if a login came from an unusual location or if a session token was used from a different device.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-adversary-in-the-middle-phishing-detection

Or download just the file:

curl -L https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/main/skills/performing-adversary-in-the-middle-phishing-detection/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

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

  1. Victim receives phishing email with link to attacker-controlled domain
  2. Attacker domain runs reverse proxy that mirrors legitimate login page
  3. Victim enters credentials on proxied page; credentials captured in transit
  4. Reverse proxy forwards credentials to real authentication service
  5. MFA challenge sent to victim; victim completes MFA on proxied page
  6. Attacker captures session cookie returned by legitimate service
  7. 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

…

FAQ

What is an AiTM attack?

It's a type of phishing where the attacker sits between you and the legitimate website. They capture your login details and session token, allowing them to access your account as if they were you, even after you've used MFA.

What tools are used in these attacks?

Kits like EvilProxy, Evilginx, and Tycoon 2FA are used to create the fake websites that intercept your information.

How can I better protect myself?

Use stronger multi-factor authentication (like FIDO2 keys), configure stricter access policies, and be wary of suspicious-looking websites.

Details

Original description by the author

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, correlating Azure AD/Entra sign-in logs, SIEM alerts, and EDR telemetry. Use when investigating suspected MFA-bypass phishing or session token theft, or building detection and response playbooks against reverse-proxy phis

repo: mukul975/Anthropic-Cybersecurity-Skills

Popularity

GitHub stars
35k
Ranking position
#6013
License
Apache-2.0
Updated
8/31/2026

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