Legitimized [SEC504: Hacker Tools, Techniques, and Incident Handling] Expert – Led Video Course – MASTERYTRAIL

Lesson 1: Introduction to Hacker Tools and Techniques
1.1 Overview of Hacker Mindset
1.2 History of Hacking
1.3 Common Hacking Motivations
1.4 Types of Hackers
1.5 Legal and Ethical Considerations
1.6 The Cyber Kill Chain
1.7 Attack Surfaces
1.8 Basic Terminology
1.9 Security Controls Overview
1.10 Introduction to Incident Handling

Lesson 2: Setting Up a Test Environment
2.1 Virtualization Concepts
2.2 Installing Virtual Machines
2.3 Network Configuration
2.4 Using Kali Linux
2.5 Setting Up Windows Targets
2.6 Isolating Lab Networks
2.7 Basic Security Precautions for Labs
2.8 Snapshot Management
2.9 Lab Documentation
2.10 Legal Lab Usage

Lesson 3: Footprinting and Reconnaissance
3.1 Passive vs. Active Reconnaissance
3.2 Open Source Intelligence (OSINT)
3.3 Whois Lookups
3.4 DNS Enumeration
3.5 Google Hacking (Dorking)
3.6 Social Engineering Basics
3.7 Network Mapping Tools
3.8 Email Harvesting
3.9 Website Reconnaissance
3.10 Reconnaissance Countermeasures

Lesson 4: Scanning and Enumeration
4.1 Port Scanning Techniques
4.2 Nmap Basics
4.3 Service Enumeration
4.4 Banner Grabbing
4.5 Vulnerability Scanning Tools
4.6 Interpreting Scan Results
4.7 Identifying Live Hosts
4.8 OS Fingerprinting
4.9 SNMP Enumeration
4.10 Countermeasures

Lesson 5: System Hacking Fundamentals
5.1 Password Cracking Concepts
5.2 Brute-Force Attacks
5.3 Dictionary Attacks
5.4 Rainbow Tables
5.5 Hash Cracking Tools
5.6 Privilege Escalation Techniques
5.7 Maintaining Access
5.8 Clearing Tracks
5.9 Rootkits and Backdoors
5.10 Defense Strategies

Lesson 6: Malware Types and Analysis
6.1 Viruses
6.2 Worms
6.3 Trojans
6.4 Ransomware
6.5 Spyware
6.6 Adware
6.7 Logic Bombs
6.8 Rootkits
6.9 Malware Analysis Tools
6.10 Malware Prevention

Lesson 7: Network Attacks
7.1 ARP Spoofing
7.2 DNS Poisoning
7.3 Man-in-the-Middle (MitM) Attacks
7.4 Denial-of-Service (DoS)
7.5 Distributed DoS (DDoS)
7.6 Session Hijacking
7.7 Replay Attacks
7.8 Packet Sniffing
7.9 Wireless Attacks
7.10 Network Attack Countermeasures

Lesson 8: Web Application Attacks
8.1 OWASP Top 10 Overview
8.2 SQL Injection
8.3 Cross-Site Scripting (XSS)
8.4 Cross-Site Request Forgery (CSRF)
8.5 Command Injection
8.6 Directory Traversal
8.7 File Upload Vulnerabilities
8.8 Insecure Deserialization
8.9 Broken Authentication
8.10 Web Attack Prevention

Lesson 9: Social Engineering
9.1 Types of Social Engineering
9.2 Phishing Techniques
9.3 Spear Phishing
9.4 Pretexting
9.5 Baiting
9.6 Tailgating
9.7 Vishing and Smishing
9.8 Defending Against Social Engineering
9.9 Security Awareness Training
9.10 Case Studies

Lesson 10: Wireless Security and Attacks
10.1 Wireless Security Protocols
10.2 WEP, WPA, WPA2, WPA3
10.3 Wireless Attacking Tools
10.4 Rogue Access Points
10.5 Evil Twin Attacks
10.6 Wireless Sniffing
10.7 Bluetooth Attacks
10.8 Wireless Client Attacks
10.9 Wireless Defense Mechanisms
10.10 Wireless Penetration Testing

Lesson 11: Password Attacks and Defenses
11.1 Password Policies
11.2 Password Hashes
11.3 Cracking Tools (John, Hashcat)
11.4 Password Spraying
11.5 Credential Stuffing
11.6 Multi-Factor Authentication
11.7 Password Managers
11.8 Social Engineering Passwords
11.9 Password Audit Techniques
11.10 Password Attack Prevention

Lesson 12: Windows Attacks and Defenses
12.1 Windows Architecture Overview
12.2 Common Windows Vulnerabilities
12.3 SMB Attacks
12.4 Pass-the-Hash
12.5 Windows Exploitation Tools
12.6 PowerShell Attacks
12.7 Windows Forensics Basics
12.8 Windows Hardening
12.9 Patch Management
12.10 Monitoring Windows Events

Lesson 13: Linux Attacks and Defenses
13.1 Linux Architecture Overview
13.2 Common Linux Vulnerabilities
13.3 SSH Attacks
13.4 Privilege Escalation Techniques
13.5 SUID/SGID Exploits
13.6 Linux Exploitation Tools
13.7 Linux Forensics Basics
13.8 Linux Hardening
13.9 Patch Management
13.10 Monitoring Linux Logs

Lesson 14: Network Sniffing and Evasion
14.1 Packet Capture Basics
14.2 Wireshark Usage
14.3 tcpdump
14.4 Sniffing Unencrypted Traffic
14.5 SSL/TLS Traffic
14.6 Sniffing Tools Comparison
14.7 IDS/IPS Evasion
14.8 Fragmentation Attacks
14.9 Encrypted Traffic Analysis
14.10 Sniffing Prevention

Lesson 15: Exploitation Fundamentals
15.1 Vulnerability Discovery
15.2 Exploit Development Basics
15.3 Buffer Overflows
15.4 Format String Vulnerabilities
15.5 Exploitation Frameworks (Metasploit)
15.6 Shellcode Concepts
15.7 Remote vs. Local Exploits
15.8 Post-Exploitation
15.9 Exploit Mitigations
15.10 Safe Exploitation

Lesson 16: Privilege Escalation
16.1 Windows Privilege Escalation
16.2 Linux Privilege Escalation
16.3 Exploiting Misconfigurations
16.4 Credential Harvesting
16.5 Exploiting Weak Permissions
16.6 Kernel Exploits
16.7 Sudo Exploits
16.8 Token Impersonation
16.9 Privilege Escalation Tools
16.10 Defense Techniques

Lesson 17: Persistence Mechanisms
17.1 Windows Persistence
17.2 Linux Persistence
17.3 Registry Run Keys
17.4 Scheduled Tasks
17.5 Service Creation
17.6 Web Shells
17.7 Bootkits
17.8 Fileless Persistence
17.9 Detection Techniques
17.10 Remediation

Lesson 18: Covering Tracks
18.1 Log Deletion
18.2 Timestomping
18.3 Clearing Command History
18.4 Removing Artifacts
18.5 Anti-Forensics Tools
18.6 Obfuscation Techniques
18.7 Steganography
18.8 Encrypted Channels
18.9 Avoiding Detection
18.10 Detection and Response

Lesson 19: Penetration Testing Process
19.1 Rules of Engagement
19.2 Scoping and Planning
19.3 Information Gathering
19.4 Vulnerability Analysis
19.5 Exploitation
19.6 Post-Exploitation
19.7 Reporting
19.8 Remediation Recommendations
19.9 Ethical Considerations
19.10 Penetration Testing Tools

Lesson 20: Incident Handling Process
20.1 Introduction to Incident Handling
20.2 Preparation
20.3 Identification
20.4 Containment
20.5 Eradication
20.6 Recovery
20.7 Lessons Learned
20.8 Incident Handling Policies
20.9 Communication During Incidents
20.10 Chain of Custody

Lesson 21: Detecting and Analyzing Incidents
21.1 Indicators of Compromise (IoC)
21.2 Log Analysis
21.3 SIEM Usage
21.4 Alert Triage
21.5 Incident Categorization
21.6 Memory Analysis
21.7 Network Forensics
21.8 Host-Based Forensics
21.9 Malware Analysis During Incidents
21.10 Reporting and Documentation

Lesson 22: Containment Strategies
22.1 Containment Goals
22.2 Short-Term vs. Long-Term Containment
22.3 Network Isolation
22.4 Host Isolation
22.5 Disabling Accounts
22.6 Blocking Malicious Traffic
22.7 Quarantine Techniques
22.8 Communication During Containment
22.9 Data Preservation
22.10 Containment Documentation

Lesson 23: Eradication Strategies
23.1 Identifying Root Cause
23.2 Malware Removal
23.3 Vulnerability Patching
23.4 Removing Backdoors
23.5 Eradicating Persistence
23.6 Validating System Integrity
23.7 Data Restoration
23.8 Verification Testing
23.9 Documentation
23.10 Lessons Learned

Lesson 24: Recovery and Restoration
24.1 Recovery Planning
24.2 System Restoration
24.3 Data Recovery
24.4 Service Restart
24.5 Validating Clean State
24.6 Monitoring After Recovery
24.7 User Notification
24.8 Documentation
24.9 Post-Recovery Analysis
24.10 Improving Response Plans

Lesson 25: Incident Documentation and Reporting
25.1 Incident Log Creation
25.2 Timeline Development
25.3 Evidence Gathering
25.4 Evidence Handling
25.5 Reporting Standards
25.6 Executive Summaries
25.7 Technical Details
25.8 Remediation Tracking
25.9 Lessons Learned Reports
25.10 Legal Considerations

Lesson 26: Digital Forensics Fundamentals
26.1 Forensics Principles
26.2 Forensic Imaging
26.3 Chain of Custody
26.4 Memory Forensics
26.5 Disk Forensics
26.6 Network Forensics
26.7 Artifact Analysis
26.8 Timeline Creation
26.9 Forensic Tools
26.10 Reporting

Lesson 27: Memory Analysis
27.1 Memory Acquisition
27.2 Volatility Framework
27.3 Analysis of Running Processes
27.4 Detecting Malicious Code
27.5 Extracting Network Connections
27.6 Analyzing DLLs
27.7 Finding Credentials
27.8 Memory Dump Analysis
27.9 Reporting Findings
27.10 Preventive Measures

Lesson 28: Network Forensics
28.1 Packet Capture
28.2 Network Traffic Analysis
28.3 Identifying Malicious Traffic
28.4 Flow Analysis
28.5 IDS/IPS Logs
28.6 Protocol Analysis
28.7 Network Artifact Recovery
28.8 Timeline Creation
28.9 Network Forensics Tools
28.10 Reporting

Lesson 29: Malware Incident Handling
29.1 Malware Identification
29.2 Quarantine Procedures
29.3 Malware Analysis Workflow
29.4 Behavioral Analysis
29.5 Static Analysis
29.6 Dynamic Analysis
29.7 Containment of Spread
29.8 Eradication Steps
29.9 Reporting
29.10 Post-Incident Actions

Lesson 30: Advanced Persistent Threats (APT)
30.1 Definition of APT
30.2 APT Lifecycle
30.3 Common APT Tools
30.4 APT Case Studies
30.5 Detecting APTs
30.6 Responding to APTs
30.7 APT Attribution
30.8 APT Mitigation
30.9 Reporting APTs
30.10 Improving Defenses

Lesson 31: Insider Threats
31.1 Insider Threat Definition
31.2 Types of Insider Threats
31.3 Motivations
31.4 Detection Techniques
31.5 Monitoring Solutions
31.6 Incident Response
31.7 Forensic Investigation
31.8 Legal Considerations
31.9 Prevention Strategies
31.10 Case Studies

Lesson 32: Cloud Security Attacks and Incident Response
32.1 Cloud Security Fundamentals
32.2 Common Cloud Attacks
32.3 Cloud Forensics
32.4 Incident Response in Cloud
32.5 Cloud Logging and Monitoring
32.6 Cloud IAM Attacks
32.7 Container Security Incidents
32.8 Cloud Data Breaches
32.9 Reporting Cloud Incidents
32.10 Cloud Security Tools

Lesson 33: Mobile Device Attacks and Response
33.1 Mobile Threat Landscape
33.2 Mobile Malware
33.3 Rooting and Jailbreaking
33.4 Mobile App Vulnerabilities
33.5 Mobile Device Forensics
33.6 Incident Response on Mobile
33.7 Mobile Phishing
33.8 Mobile Device Management (MDM)
33.9 Reporting Mobile Incidents
33.10 Mobile Security Best Practices

Lesson 34: Ransomware Attacks and Response
34.1 Ransomware Overview
34.2 Infection Vectors
34.3 Detection and Analysis
34.4 Containment Strategies
34.5 Eradication Steps
34.6 Decryption and Recovery
34.7 Negotiation Considerations
34.8 Legal and Compliance Issues
34.9 Reporting
34.10 Prevention Techniques

Lesson 35: Threat Intelligence Utilization
35.1 Threat Intelligence Basics
35.2 Sources of Threat Intelligence
35.3 Indicators of Compromise
35.4 Threat Feeds
35.5 Integrating Threat Intel into IR
35.6 Threat Intelligence Platforms
35.7 Sharing Threat Intelligence
35.8 Tactical vs. Strategic Intelligence
35.9 Threat Hunting
35.10 Reporting and Action

Lesson 36: Security Information and Event Management (SIEM)
36.1 SIEM Concepts
36.2 Log Collection
36.3 Alerting Mechanisms
36.4 Rule Creation
36.5 Correlation of Events
36.6 SIEM Use Cases
36.7 Investigating Alerts
36.8 SIEM Limitations
36.9 SIEM Best Practices
36.10 SIEM in Incident Handling

Lesson 37: Intrusion Detection and Prevention Systems
37.1 IDS/IPS Overview
37.2 Types of IDS (Signature, Anomaly)
37.3 IDS/IPS Deployment
37.4 Rule Tuning
37.5 Alert Analysis
37.6 Common IDS Tools
37.7 Bypassing IDS/IPS
37.8 IDS/IPS in IR
37.9 Incident Detection
37.10 Reporting on IDS/IPS Events

Lesson 38: Endpoint Detection and Response (EDR)
38.1 EDR Concepts
38.2 EDR vs. Traditional AV
38.3 EDR Architecture
38.4 EDR Deployment
38.5 Alert Triage
38.6 EDR Investigation
38.7 Responding with EDR
38.8 EDR in Forensics
38.9 EDR Limitations
38.10 EDR Best Practices

Lesson 39: Vulnerability Management
39.1 Vulnerability Assessment
39.2 Vulnerability Scanning Tools
39.3 Patch Management
39.4 Prioritizing Vulnerabilities
39.5 Vulnerability Remediation
39.6 Vulnerability Disclosure
39.7 Reporting Vulnerabilities
39.8 Continuous Assessment
39.9 Vulnerability Management Policies
39.10 Integration with IR

Lesson 40: Security Operations Center (SOC)
40.1 SOC Overview
40.2 SOC Roles and Responsibilities
40.3 SOC Tools and Technologies
40.4 SOC Processes
40.5 Incident Escalation
40.6 Collaboration in SOC
40.7 SOC Metrics
40.8 Threat Hunting in SOC
40.9 SOC Maturity Models
40.10 SOC Challenges

Lesson 41: Legal and Regulatory Incident Considerations
41.1 Data Breach Laws
41.2 GDPR and Privacy
41.3 Reporting Requirements
41.4 Chain of Custody
41.5 Working with Law Enforcement
41.6 Legal Hold Procedures
41.7 Regulatory Audits
41.8 Privacy Considerations
41.9 Incident Documentation
41.10 Cross-Border Issues

Lesson 42: Communication During Incidents
42.1 Internal Communication
42.2 External Communication
42.3 Media Management
42.4 Stakeholder Notification
42.5 Communication Templates
42.6 Maintaining Confidentiality
42.7 Escalation Paths
42.8 After-Action Communication
42.9 Communication Tools
42.10 Communication Policies

Lesson 43: Lessons Learned and Post-Incident Review
43.1 Purpose of Lessons Learned
43.2 Conducting Post-Incident Reviews
43.3 Root Cause Analysis
43.4 Improvement Planning
43.5 Documentation
43.6 Action Item Tracking
43.7 Feedback Loops
43.8 Reporting to Management
43.9 Sharing Knowledge
43.10 Continuous Improvement

Lesson 44: Red Team vs. Blue Team
44.1 Red Team Concepts
44.2 Blue Team Concepts
44.3 Purple Teaming
44.4 Red Team Tactics
44.5 Blue Team Defenses
44.6 Simulated Attacks
44.7 Collaboration
44.8 Metrics and KPIs
44.9 Lessons Learned
44.10 Building Effective Teams

Lesson 45: Security Awareness and Training
45.1 Importance of Awareness
45.2 Designing Training Programs
45.3 Phishing Simulations
45.4 Security Policies
45.5 Measuring Effectiveness
45.6 Continuous Education
45.7 Targeted Training
45.8 Engagement Techniques
45.9 Reporting Training Outcomes
45.10 Improving Training

Lesson 46: Advanced Attack Techniques
46.1 Living off the Land (LotL)
46.2 Fileless Malware
46.3 Supply Chain Attacks
46.4 Exploiting Zero-Days
46.5 DNS Tunneling
46.6 Lateral Movement
46.7 Credential Dumping
46.8 Command and Control (C2)
46.9 Data Exfiltration
46.10 Advanced Detection

Lesson 47: Deception Technologies
47.1 Introduction to Deception
47.2 Honeypots
47.3 Honeytokens
47.4 Deception Grids
47.5 Deploying Deception
47.6 Detecting Attackers
47.7 Integrating with IR
47.8 Metrics for Deception
47.9 Limitations
47.10 Case Studies

Lesson 48: Automation in Incident Handling
48.1 Automation Concepts
48.2 SOAR Overview
48.3 Playbooks
48.4 Automated Containment
48.5 Automated Remediation
48.6 Orchestration Tools
48.7 Integration with SIEM/EDR
48.8 Benefits and Challenges
48.9 Building Automation Workflows
48.10 Continuous Improvement

Lesson 49: Preparing for the Future Threat Landscape
49.1 Emerging Threats
49.2 AI and Machine Learning in Security
49.3 IoT Security
49.4 Quantum Computing Threats
49.5 Evolving Attack Techniques
49.6 Security by Design
49.7 Threat Intelligence Evolution
49.8 Continuous Monitoring
49.9 Future Incident Response
49.10 Building Resilience

Lesson 50: Capstone and Practical Application
50.1 Capstone Project Overview
50.2 Setting Up the Scenario
50.3 Running an Incident Simulation
50.4 Applying Recon and Scanning
50.5 Performing Exploitation
50.6 Incident Response Steps
50.7 Documentation and Reporting
50.8 Lessons Learned Session
50.9 Presenting Findings
50.10 Final Review and Course Wrap-Up