Performing Adversary In The Middle Phishing Detection
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.
MCP get_skill({ skillId: "performing-adversary-in-the-middle-phishing-detection-16bc5e61" })Use this skill with your agent
Create a free account and connect via MCP
# 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 - 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
Related Skills
More skills in Security & Compliance
1password
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
1password
Set up and use 1Password CLI for sign-in, desktop integration, and reading or injecting secrets.
Accessibility Lead
Accessibility team lead and orchestrator. Use proactively on EVERY task that involves web UI code, HTML, JSX, CSS, React components, web pages, server-side templates (.leaf, .ejs, .erb, .hbs), or any user-facing web content. This agent coordinates the accessibility specialist team and ensures no accessibility requirement is missed. Runs the final review before any UI code is considered complete. Applies to any web framework, server-side templating framework (Vapor/Leaf, Rails/ERB, Django/Jinja, Express/EJS), or vanilla HTML/CSS/JS. Works alongside other team leads (e.g., swift-lead) in multi-language projects.
Accessibility Regression Detector
Detects accessibility regressions by comparing audit results across commits/branches. Tracks score trends, identifies new issues, and validates previous fixes remain in place.
Accessibility Statement
Generates conformance/accessibility statements following W3C or EU model templates. Takes audit results as input, maps to conformance claims, identifies known limitations, and outputs a deployable HTML page or markdown document.
Accessibility Tool Builder
Expert in building accessibility scanning tools, rule engines, document parsers, report generators, and audit automation. WCAG criterion mapping, severity scoring, CLI/GUI scanner architecture, CI/CD integration.
Explore Other Categories
Skills from other categories with shared topics
Analyzing Malicious PDF With Peepdf
Perform static analysis of malicious PDF documents using peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects.
Analyzing PDF Malware With Pdfid
Analyzes malicious PDF files using PDFiD, pdf-parser, and peepdf to identify embedded JavaScript, shellcode, exploits, and suspicious objects without opening the document. Determines the attack vector and extracts embedded payloads for further analysis. Activates for requests involving PDF malware analysis, malicious document analysis, PDF exploit investigation, or suspicious attachment triage.
Building Devsecops Pipeline With GitLab CI
Design and implement a comprehensive DevSecOps pipeline in GitLab CI/CD integrating SAST, DAST, container scanning, dependency scanning, and secret detection.