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| Section | Weight | Objectives |
|---|---|---|
| Vulnerability Analysis | 8% | - Vulnerability Classification & Scoring - Vulnerability Assessment Lifecycle - Scanning & Analysis Tools - Vulnerability Research & Databases |
| IoT & OT Security | 4% | - Security Controls - IoT/OT Architecture & Risks - Attacks on IoT & OT Systems |
| Mobile Platforms | 4% | - Mobile Device Security - Mobile Attack Vectors - Android & iOS Vulnerabilities |
| System Hacking | 8% | - Clearing Tracks & Logs - Gaining Access: Password Attacks - Privilege Escalation - Maintaining Access |
| Sniffing | 5% | - MITM Attacks - Sniffing Tools & Techniques - Packet Sniffing Concepts - Sniffing Countermeasures |
| Denial-of-Service | 4% | - Attack Techniques & Botnets - DoS & DDoS Concepts - DDoS Tools - Defense Mechanisms |
| Wireless Networks | 5% | - Wireless Hacking Tools - Wireless Threats & Attacks - Security Best Practices - Wireless Encryption: WEP, WPA2, WPA3 |
| Introduction to Ethical Hacking | 5% | - Legal and Ethical Compliance - Cyber Kill Chain & MITRE ATT&CK - Information Security Concepts - Ethical Hacking Methodology |
| Social Engineering | 6% | - Social Engineering Concepts - Countermeasures & Awareness - Identity Theft - Phishing, Pretexting, Baiting |
| Evading IDS, Firewalls, and Honeypots | 5% | - Evasion Techniques - Honeypot Concepts & Detection - IDS, IPS, Firewall Technologies |
| Session Hijacking | 4% | - Hijacking Techniques - Countermeasures - Application & Network Level Hijacking - Session Hijacking Concepts |
| Web Server & Application Attacks | 8% | - Web Security Countermeasures - Web Application Attacks: XSS, CSRF - API Security Risks - SQL Injection & Command Injection - Web Server Vulnerabilities |
| Cryptography | 5% | - Encryption Concepts & Algorithms - Cryptanalysis & Attacks - Cryptography in Practice - Public Key Infrastructure |
| Cloud Computing | 5% | - Cloud Security Best Practices - Cloud Models & Services - AWS, Azure, GCP Attacks - Cloud Security Risks |
| Malware Threats | 7% | - Malware Analysis & Countermeasures - AI-Powered Malware - APT & Fileless Malware - Malware Types: Trojans, Viruses, Worms |
| Footprinting and Reconnaissance | 7% | - DNS, WHOIS, Network Mapping - Reconnaissance Concepts - Reconnaissance Countermeasures - OSINT Techniques |
| Scanning Networks | 8% | - Service & OS Fingerprinting - Scanning Beyond IDS/Firewall - Network Scanning Basics - AI-Assisted Scanning - Scanning Countermeasures - Host & Port Discovery |
| Enumeration | 7% | - DNS, SMTP, NFS Enumeration - AI-Driven Enumeration - NetBIOS, SNMP, LDAP Enumeration - Enumeration Countermeasures - Enumeration Concepts |
1. In Portland, Oregon, ethical hacker Olivia Harper is hired by Cascade Biotech to test the security of their research network. During her penetration test, she simulates an attack by sending malicious packets to a server hosting sensitive genetic data. To evade detection, she needs to understand the monitoring system deployed near the network's firewall, which analyzes incoming and outgoing traffic for suspicious patterns across the entire subnet. Olivia's goal is to bypass this system to highlight vulnerabilities for the security team. Which security system is Olivia attempting to bypass during her penetration test of Cascade Biotech's network?
A) Network-Based Intrusion Detection System
B) Network-Based Firewalls
C) Host-Based Intrusion Detection System
D) Host-Based Firewalls
2. In an advanced digital security scenario, a multinational enterprise is being targeted with a complex series of assaults aimed to disrupt operations, manipulate data integrity, and cause serious financial damage. As the Lead Cybersecurity Analyst with CEH and CISSP certifications, your responsibility is to correctly identify the specific type of attack based on the following indicators:
The attacks are exploiting a vulnerability in the target system's hardware, inducing misprediction of future instructions in a program's control flow. The attackers are strategically inducing the victim process to speculatively execute instructions sequences that would not have been executed in the absence of the misprediction, leading to subtle side effects. These side effects, which are observable from the shared state, are then utilized to infer the values of in-flight data.
What type of attack best describes this scenario?
A) Privilege Escalation Attack
B) Side-Channel Attack
C) Watering Hole Attack
D) Rowhammer Attack
3. A system's audit logs are not centralized. Which attack phase is hardest to detect?
A) Delivery
B) Lateral movement
C) Initial access
D) Recon
4. In an ethical hacking methodology and framework, which of the following step is known for "active and passive information gathering"
A) Obfuscation
B) Exploitation
C) Reconnaissance
D) Denial of service
5. On July 9, 2025, during a security penetration test at MedSecure Health in Phoenix, Arizona, the ethical hacking team evaluates the resilience of the company's patient portal system. Ethical hacker Aisha Khan initiates a controlled test that generates sustained traffic pressure against the web application servers. As system responsiveness declines, the IT operations team reallocates backend resources, suspending lower-priority modules such as system alerts and notification services, allowing high-priority functions like prescription refills and patient check-ins to remain accessible. Aisha's controlled simulation is designed to assess the IT team's ability to maintain critical functionality under partial resource exhaustion. What DoS/DDoS countermeasure strategies is Aisha's exercise primarily simulating?
A) Degrading Services
B) Shutting Down Services
C) Rate Limiting
D) Absorbing the Attack
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: A |
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