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| Section | Weight | Objectives |
|---|---|---|
| Sniffing | 5% | - Sniffing Countermeasures - Packet Sniffing Concepts - MITM Attacks - Sniffing Tools & Techniques |
| System Hacking | 8% | - Clearing Tracks & Logs - Privilege Escalation - Gaining Access: Password Attacks - Maintaining Access |
| Session Hijacking | 4% | - Application & Network Level Hijacking - Hijacking Techniques - Session Hijacking Concepts - Countermeasures |
| IoT & OT Security | 4% | - IoT/OT Architecture & Risks - Security Controls - Attacks on IoT & OT Systems |
| Malware Threats | 7% | - AI-Powered Malware - APT & Fileless Malware - Malware Analysis & Countermeasures - Malware Types: Trojans, Viruses, Worms |
| Mobile Platforms | 4% | - Android & iOS Vulnerabilities - Mobile Attack Vectors - Mobile Device Security |
| Vulnerability Analysis | 8% | - Vulnerability Research & Databases - Scanning & Analysis Tools - Vulnerability Classification & Scoring - Vulnerability Assessment Lifecycle |
| Cryptography | 5% | - Public Key Infrastructure - Cryptanalysis & Attacks - Cryptography in Practice - Encryption Concepts & Algorithms |
| Evading IDS, Firewalls, and Honeypots | 5% | - Evasion Techniques - IDS, IPS, Firewall Technologies - Honeypot Concepts & Detection |
| Web Server & Application Attacks | 8% | - API Security Risks - Web Security Countermeasures - Web Server Vulnerabilities - Web Application Attacks: XSS, CSRF - SQL Injection & Command Injection |
| Denial-of-Service | 4% | - Attack Techniques & Botnets - DDoS Tools - Defense Mechanisms - DoS & DDoS Concepts |
| Footprinting and Reconnaissance | 7% | - OSINT Techniques - Reconnaissance Countermeasures - DNS, WHOIS, Network Mapping - Reconnaissance Concepts |
| Introduction to Ethical Hacking | 5% | - Information Security Concepts - Ethical Hacking Methodology - Cyber Kill Chain & MITRE ATT&CK - Legal and Ethical Compliance |
| Scanning Networks | 8% | - AI-Assisted Scanning - Service & OS Fingerprinting - Host & Port Discovery - Network Scanning Basics - Scanning Countermeasures - Scanning Beyond IDS/Firewall |
| Cloud Computing | 5% | - Cloud Security Risks - Cloud Security Best Practices - Cloud Models & Services - AWS, Azure, GCP Attacks |
| Wireless Networks | 5% | - Wireless Threats & Attacks - Wireless Encryption: WEP, WPA2, WPA3 - Wireless Hacking Tools - Security Best Practices |
| Enumeration | 7% | - AI-Driven Enumeration - Enumeration Countermeasures - DNS, SMTP, NFS Enumeration - Enumeration Concepts - NetBIOS, SNMP, LDAP Enumeration |
| Social Engineering | 6% | - Identity Theft - Phishing, Pretexting, Baiting - Countermeasures & Awareness - Social Engineering Concepts |
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NEW QUESTION # 154
Why is a penetration test considered to be more thorough than vulnerability scan?
Answer: C
NEW QUESTION # 155
What is the main security service a cryptographic hash provides?
Answer: A
NEW QUESTION # 156
Switches maintain a CAM Table that maps individual MAC addresses on the network to physical ports on the switch. In a MAC flooding attack, a switch is fed with many Ethernet frames, each containing different source MAC addresses, by the attacker. Switches have a limited memory for mapping various MAC addresses to physical ports.
What happens when the CAM table becomes full?
Answer: C
Explanation:
Comprehensive and Detailed Explanation:
In a MAC flooding attack, tools like macof (shown in the image) rapidly generate a large number of Ethernet frames with spoofed source MAC addresses. These are sent to the switch to overflow its CAM (Content Addressable Memory) table.
Once the CAM table is full:
The switch can no longer learn new MAC-to-port associations.
It fails open and starts broadcasting all incoming traffic to all ports.
This causes the switch to act like a hub.
Consequently, the attacker can:
Sniff traffic that would otherwise be switched.
Intercept data not destined for their system.
From CEH v13 Courseware:
Module 8: Sniffing # Switch-Based Attacks # MAC Flooding
Incorrect Options:
B: A switch typically does not crash but reverts to hub behavior.
C: There is no factory default override behavior like this.
D: Packets are not dropped-this would defeat the attack's purpose.
Reference:CEH v13 Study Guide - Module 8: MAC Flooding and Layer 2 AttacksCisco Security Best Practices - Switch CAM Table Protection
NEW QUESTION # 157
A "Server-Side Includes" attack refers to the exploitation of a web application by injecting scripts in HTML pages or executing arbitrary code remotely.
Which web-page file type, if it exists on the web server, is a strong indication that the server is vulnerable to this kind of attack?
Answer: A
NEW QUESTION # 158
As a part of an ethical hacking exercise, an attacker is probing a target network that is suspected to employ various honeypot systems for security. The attacker needs to detect and bypass these honeypots without alerting the target. The attacker decides to utilize a suite of techniques. Which of the following techniques would NOT assist in detecting a honeypot?
Answer: A
Explanation:
A brute force attack is a method of trying different combinations of passwords or keys to gain access to a system or service. It is not a reliable way of detecting a honeypot, as it may trigger an alert or response from the target. Moreover, a brute force attack does not provide any information about the system's characteristics or behavior that could indicate a honeypot. A honeypot is a decoy system that is designed to attract and trap attackers, while providing security teams with valuable intelligence and insights. Therefore, an ethical hacker needs to use more subtle and stealthy techniques to detect and avoid honeypots.
The other options are valid techniques for detecting a honeypot. Probing system services and observing the three-way handshake can reveal anomalies or inconsistencies in the system's responses, such as abnormal banners, ports, or protocols. Using honeypot detection tools like Send-Safe Honeypot Hunter can scan the target network and identify potential honeypots based on various criteria, such as IP address, domain name, or open ports. Analyzing the MAC address can detect instances running on VMware, which is a common platform for deploying honeypots. A honeypot running on VMware will have a MAC address that starts with
00:0C:29, 00:50:56, or 00:05:69. References:
* What is a Honeypot? Types, Benefits, Risks and Best Practices
* Using Honeypots for Network Intrusion Detection
* Detecting Honeypot Access With Varonis
NEW QUESTION # 159
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