Advanced Phishing Detection & Investigation Training

1.1 Historical Perspective

• Evolution from basic email scams to sophisticated multi-channel attacks
• Timeline of significant phishing campaigns and their impact
• How threat actors have adapted to security controls

1.2 Current Phishing Landscape

• Global statistics and impact on organizations
• Industry-specific targeting patterns
• Geographic distribution of phishing infrastructure
• Economic impact of successful phishing campaigns

1.3 Current Trends in Phishing

• AI-Driven Phishing Attacks: ChatGPT, DeepSeek, LLaMA, and more
• Automated Spear Phishing: Hyper-personalized emails
• Business Email Compromise (BEC)
• Phishing-as-a-Service (PhaaS)

1.4 Phishing Attack Taxonomy

• Email-based phishing
• Spear phishing and whaling
• Clone phishing
• Smishing (SMS phishing)
• Vishing (voice phishing)
• QR code phishing
• Search engine phishing
• Social media phishing and impersonation
• Business Email Compromise (BEC)
• Hybrid phishing attacks

2.1 Phishing Kill Chain Analysis

• Reconnaissance: Domain spoofing, LinkedIn scraping, open-source intelligence (OSINT)
• Weaponization: Crafting payloads, malicious links, and attachments
• Delivery: Email, SMS (Smishing), Voice (Vishing), and Social Media Phishing
• Exploitation: Credential harvesting, malware deployment
• Installation & Command Control (C2): Establishing backdoor communications
• Action on Objectives: Data theft, financial fraud, lateral movement

2.2 Common Phishing Techniques

• Email Phishing: Tactics, indicators, and examples
• Spear Phishing: Targeted approach and personalization methods
• Clone Phishing: Replicating legitimate communications
• Whaling: Targeting C-Suite Executives
• Smishing (SMS-based): Mobile attack vectors
• Vishing (Voice-based): Social engineering over phone calls
• Social Media Impersonation: Brand and executive spoofing

3.1 How Threat Actors Use AI

• Content Generation with LLMs: GPT-4, Claude, Bard
• Natural language processing for creating convincing messages
• Automated Payload Generation: Multi-language phishing emails
• Hyper-Personalization Techniques: Real-time scraping of social media and company news
• Machine learning for target selection and customization
• Phishing Chatbots: Engaging targets interactively to gather more information
• Deepfake Voice Calls: Advanced vishing techniques
• Case studies of AI-enhanced phishing campaigns

3.2 AI Tools Used by Threat Actors

• Overview of accessible AI tools being weaponized
• Large Language Models (LLMs) for content generation
• AI-based translation tools for global targeting
• Voice cloning for executive impersonation
• Image generation for creating fake personas and scenarios

3.3 Detection and Defense against AI-based Phishing

• Pattern analysis of LLM-generated texts
• AI-based anomaly detection
• Real-time content analysis for linguistic markers
• AI detection limitations and blindspots
• Creating awareness around AI-generated content
• Technical controls specific to AI-powered phishing
• Developing organizational resilience against AI threats

4.1 Understanding Phishing Kits

• Components of phishing kits
• Open-source phishing kits and commercial offerings
• Modular design: HTML, PHP scripts, and data capture forms
• Plug-and-play kits vs. custom development
• Admin panels and management interfaces
• Evasion techniques built into kits
• Exfiltration methods and credential handling
• Detection Techniques: Fingerprinting common phishing kit signatures

4.2 Phishing-as-a-Service (PHaaS)

• Overview of PHaaS platforms
• Underground marketplace dynamics
• Pricing models and service offerings
• Dark Web marketplaces for phishing kits
• Subscription models and service tiers
• Customer support and infrastructure management
• Distribution channels and affiliate programs
• Case studies of prominent PHaaS operations

4.3 Hosting and Infrastructure

• Bulletproof hosting providers
• Compromised websites and legitimate infrastructure abuse
• Fast-flux networks and domain generation algorithms
• Temporary/disposable infrastructure strategies
• Content delivery networks (CDNs) abuse

4.4 Domain Registration Tactics

• Typosquatting and homograph attacks
• Domain aging and reputation building
• Subdomain abuse of legitimate domains
• TLD selection strategies
• Just-in-time domain registration patterns

4.5 Command and Control (C2) Analysis

• Understanding C2 mechanisms for phishing attacks
• Common TTPs: Domain Fronting, Bulletproof Hosting
• Advanced threat hunting techniques

5.1 Favicon Hash Analysis for Phishing Detection

• How phishing sites use real favicons to mimic legitimate brands
• Fundamentals of favicon fingerprinting
• Creating a favicon hash database of legitimate sites
• Using favicon hashes to fingerprint phishing sites
• Implementing automated favicon comparison tools
• Automated scanning methods
• Favicon analysis limitations and evasion techniques
• Integration with existing security stacks

5.2 Certificate Transparency Logs

• Leveraging CT logs to identify malicious domains
• Spotting suspicious SSL certificates
• SSL/TLS certificate analysis
• Domain reputation services and integration

5.3 DNS Sinkholing and Passive DNS Analysis

• Tracking phishing domains through passive DNS
• Identifying malicious infrastructure
• Advanced URL parsing and anomaly detection
• WHOIS data analysis and registration patterns
• Historical DNS analysis for phishing detection

5.4 HTML and JavaScript Analysis

• Source code patterns indicative of phishing
• Obfuscation techniques and their detection
• Form data collection and exfiltration methods
• JavaScript-based evasion and anti-analysis techniques
• Automated tools for HTML/JS phishing detection

5.5 Email Header and Content Analysis

• SPF, DKIM, and DMARC record investigation
• Email header anomaly detection
• Content fingerprinting techniques
• Natural language processing for content analysis
• Sender behavior analysis and pattern recognition

5.6 Image-based Phishing Detection

• Logo detection and comparison through computer vision
• Visual similarity algorithms
• OCR (Optical Character Recognition) for image-based attacks
• Screenshot comparison with legitimate sites
• Perceptual hashing techniques

6.1 Designing Effective Phishing Simulations

• Developing realistic scenarios that mimic current phishing TTPs
• Creating simulations that match the organization’s threat model
• Tools and platforms for phishing simulations
• Customizing campaigns for different departments and risk levels
• Metrics and measurement methodologies

6.2 Tracking Employee Response and Improvement

• Establishing baselines for user susceptibility
• Measuring reporting rates vs. click rates
• Tracking improvement over time
• Analyzing departmental and role-based vulnerabilities
• Developing KPIs for awareness effectiveness

6.3 Building a Culture of Awareness and Vigilance

• Executive buy-in and leadership involvement
• Reward systems for reporting suspicious messages
• Creating a positive security culture
• Just-in-time training for users who fall for simulations
• Regular security communications and updates

6.4 Advanced Awareness Strategies

• Micro-learning and continuous education
• Gamification of security awareness
• Personalized awareness based on user behavior
• Role-specific training for high-value targets
• Measuring behavior change beyond simulation metrics

7.1 Building an Effective Phishing IR Plan

• Phishing-specific playbooks development
• Roles and responsibilities in phishing response
• Communication protocols during active campaigns
• Containment strategies for different phishing vectors
• Recovery and post-incident procedures

7.2 Real-time Incident Response

• Quarantine and isolation of compromised accounts
• Domain takedowns and reporting to ISPs
• Rapid analysis of phishing payloads
• Initial triage and analysis methodologies
• Prioritization frameworks for phishing reports
• Initial containment actions
• Determining attack scope and potential impact
• Parallel investigation techniques

7.3 Evidence Collection and Forensics

• Preserving email evidence
• Web server logs and network traffic analysis
• Endpoint forensics for compromised systems
• Documenting the phishing infrastructure
• Chain of custody considerations
• Digital forensics for email headers, URLs, and phishing forms

7.4 Threat Intelligence Integration

• Leveraging threat intelligence in investigations
• Identifying campaign relationships and attribution
• Sharing indicators of compromise (IoCs)
• Participating in industry sharing groups
• Creating actionable intelligence from incidents
• Real-time feeds and IoCs (Indicators of Compromise)
• Integrating CTI into SIEM and EDR for proactive defense

7.5 Post-Incident Activities

• Root cause analysis for successful phishing attacks
• Measuring effectiveness of response
• Feedback loops to prevention measures
• Metrics and reporting for executive leadership
• Continuous improvement of phishing defenses
• Conducting lessons-learned sessions
• Updating threat models and playbooks

8.1 GDPR and Data Breach Notifications

• Understanding notification requirements when phishing leads to data breach
• Timeline requirements for reporting
• Documentation requirements for compliance
• Cross-border considerations for international organizations

8.2 CCPA Compliance for Phishing-Related Data Theft

• California-specific requirements
• Consumer notification processes
• Documentation and reporting requirements
• Potential penalties and enforcement actions

8.3 ISO 27001 and SOC 2 Considerations

• How phishing controls map to common frameworks
• Documentation requirements for certification
• Gap analysis methodologies
• Continuous compliance monitoring

8.4 Financial Sector Requirements

• PCI-DSS requirements related to phishing prevention
• FINRA and SEC guidelines for financial institutions
• Banking-specific reporting requirements
• Industry-specific frameworks and best practices

8.5 Healthcare Sector Requirements

• HIPAA considerations for phishing-related breaches
• Protected health information (PHI) considerations
• Sector-specific reporting requirements
• Patient notification requirements

9.1 Building and Training Specialized Phishing Analysis Teams

• Skill requirements and development paths
• Technical vs. behavioral analysis capabilities
• Training programs and certification paths
• Performance metrics for phishing analysts
• Building institutional knowledge repositories

9.2 Tool Selection and Integration

• Email security gateway optimization
• Phishing simulation platforms
• SOAR integration for phishing response
• User reporting mechanisms
• Automated analysis and triage systems

9.3 Workflow Optimization

• Managing phishing report volume
• Automating repetitive analysis tasks
• Alert fatigue reduction strategies
• Integrating phishing response with broader SOC operations
• Service level agreements for phishing response

9.4 Metrics and Reporting

• Key performance indicators for phishing defense
• Executive-level reporting frameworks
• Measuring SOC effectiveness against phishing
• Trend analysis and predictive metrics
• Regulatory and compliance reporting requirements

10.1 Advanced Phishing Analysis Lab

• Real-world phishing email analysis
• Hands-on analysis of sophisticated phishing samples
• Phishing kit dissection and analysis
• Infrastructure tracking and takedown procedures
• Developing custom detection rules
• Threat hunting exercises for phishing campaigns
• Detection of AI-generated phishing attempts
• Building phishing detection models with YARA rules