mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
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Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):
- brain/ LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
dispatch, A51 channels, and the OSINT cluster
- knowledge/ LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
MITRE ATT&CK data
- reference/ defensive threat-reference (C3, shhbruh doc) + AdaYaml parser
License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.
Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.
https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
122 lines
5.6 KiB
Markdown
122 lines
5.6 KiB
Markdown
---
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name: performing-adversary-in-the-middle-phishing-detection
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description: Detect and respond to Adversary-in-the-Middle (AiTM) phishing attacks that use reverse proxy kits like EvilProxy,
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Evilginx, and Tycoon 2FA to bypass MFA and steal session tokens.
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domain: cybersecurity
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subdomain: phishing-defense
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tags:
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- aitm
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- evilproxy
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- evilginx
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- phishing
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- mfa-bypass
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- session-hijacking
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- reverse-proxy
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- credential-theft
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version: '1.0'
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author: mahipal
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license: Apache-2.0
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nist_csf:
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- PR.AT-01
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- DE.CM-09
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- RS.CO-02
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- DE.AE-02
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---
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# Performing Adversary-in-the-Middle Phishing Detection
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## Overview
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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.
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## When to Use
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- When conducting security assessments that involve performing adversary in the middle phishing detection
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- When following incident response procedures for related security events
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- When performing scheduled security testing or auditing activities
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- When validating security controls through hands-on testing
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## Prerequisites
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- Azure AD / Entra ID Conditional Access policies
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- SIEM with authentication log ingestion (Azure AD sign-in logs)
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- Web proxy with SSL inspection and URL categorization
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- Endpoint Detection and Response (EDR) solution
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- FIDO2/phishing-resistant MFA capability
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## Key Concepts
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### How AiTM Works
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1. Victim receives phishing email with link to attacker-controlled domain
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2. Attacker domain runs reverse proxy that mirrors legitimate login page
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3. Victim enters credentials on proxied page; credentials captured in transit
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4. Reverse proxy forwards credentials to real authentication service
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5. MFA challenge sent to victim; victim completes MFA on proxied page
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6. Attacker captures session cookie returned by legitimate service
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7. Attacker replays session cookie to access victim's account without MFA
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### Major AiTM Kits (2025)
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| Kit | Type | Primary Targets | Evasion |
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|---|---|---|---|
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| Tycoon 2FA | PhaaS | Microsoft 365, Google | CAPTCHA, Cloudflare turnstile |
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| EvilProxy | PhaaS | Microsoft 365, Google, Okta | Random URLs, IP rotation |
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| Evilginx | Open-source | Any web application | Custom phishlets |
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| Sneaky 2FA | PhaaS | Microsoft 365 | Anti-bot checks |
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| NakedPages | PhaaS | Multiple | Minimal infrastructure |
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### Detection Indicators
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- Authentication from unusual IP not matching user profile
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- Session cookie reuse from different IP/device than authentication
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- Login page served from non-Microsoft/non-Google infrastructure
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- CDN requests to legitimate auth providers from phishing domains
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- Impossible travel between authentication and session usage
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## Workflow
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### Step 1: Deploy Phishing-Resistant MFA
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- Implement FIDO2 security keys or Windows Hello for Business for high-value accounts
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- Configure Conditional Access to require phishing-resistant MFA for admins
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- Enable certificate-based authentication where possible
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- Disable SMS and voice MFA for privileged accounts
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- AiTM cannot intercept FIDO2 because authentication is bound to origin domain
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### Step 2: Configure Conditional Access Policies
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- Require compliant/managed device for sensitive application access
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- Block authentication from anonymous proxies and Tor exit nodes
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- Enforce token binding to limit session cookie replay
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- Configure continuous access evaluation (CAE) for real-time token revocation
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- Implement sign-in risk policies that require re-authentication for risky sign-ins
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### Step 3: Build AiTM Detection Rules
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- Alert on sign-in followed by session from different IP within 10 minutes
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- Detect authentication where proxy IP does not match user's expected location
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- Monitor for impossible travel patterns in session usage
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- Alert on inbox rules created immediately after authentication (common post-compromise)
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- Detect new MFA method registration from suspicious sign-in
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### Step 4: Monitor Web Proxy for AiTM Infrastructure
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- Log and analyze DNS queries to newly registered domains
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- Detect connections to known PhaaS infrastructure IPs
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- Alert on authentication page backgrounds loaded from legitimate CDNs through proxy domains
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- Monitor for SSL certificates issued to domains mimicking corporate login pages
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- Block access to known EvilProxy/Evilginx infrastructure via threat intelligence
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### Step 5: Implement Post-Compromise Detection
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- Alert on mailbox forwarding rules created after suspicious authentication
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- Detect OAuth app consent after AiTM sign-in
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- Monitor for email sending patterns indicating BEC follow-up
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- Alert on SharePoint/OneDrive mass download after session hijack
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- Track lateral movement from compromised account
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## Tools & Resources
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- **Microsoft Entra ID Protection**: Risk-based Conditional Access
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- **Azure AD Sign-in Logs**: Authentication event analysis
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- **Okta ThreatInsight**: AiTM proxy detection at IdP level
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- **Sekoia TDR**: AiTM campaign tracking and intelligence
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- **Evilginx (defensive)**: Understanding attack mechanics for detection
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## Validation
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- Phishing-resistant MFA blocks AiTM session capture in test scenario
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- Conditional Access denies session replay from different device/IP
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- SIEM alerts fire on simulated AiTM sign-in patterns
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- Web proxy blocks connections to known PhaaS infrastructure
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- Post-compromise rules detect inbox rule creation after suspicious auth
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