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| Section | Weight | Objectives |
|---|---|---|
| Malware Threats | 7% | - Malware Types: Trojans, Viruses, Worms - Malware Analysis & Countermeasures - AI-Powered Malware - APT & Fileless Malware |
| Introduction to Ethical Hacking | 5% | - Cyber Kill Chain & MITRE ATT&CK - Legal and Ethical Compliance - Information Security Concepts - Ethical Hacking Methodology |
| IoT & OT Security | 4% | - Security Controls - Attacks on IoT & OT Systems - IoT/OT Architecture & Risks |
| Session Hijacking | 4% | - Session Hijacking Concepts - Hijacking Techniques - Application & Network Level Hijacking - Countermeasures |
| Mobile Platforms | 4% | - Mobile Device Security - Mobile Attack Vectors - Android & iOS Vulnerabilities |
| Wireless Networks | 5% | - Wireless Threats & Attacks - Wireless Encryption: WEP, WPA2, WPA3 - Wireless Hacking Tools - Security Best Practices |
| Social Engineering | 6% | - Social Engineering Concepts - Countermeasures & Awareness - Phishing, Pretexting, Baiting - Identity Theft |
| Footprinting and Reconnaissance | 7% | - Reconnaissance Concepts - OSINT Techniques - DNS, WHOIS, Network Mapping - Reconnaissance Countermeasures |
| Denial-of-Service | 4% | - Attack Techniques & Botnets - Defense Mechanisms - DoS & DDoS Concepts - DDoS Tools |
| System Hacking | 8% | - Gaining Access: Password Attacks - Privilege Escalation - Clearing Tracks & Logs - Maintaining Access |
| Vulnerability Analysis | 8% | - Vulnerability Assessment Lifecycle - Vulnerability Research & Databases - Scanning & Analysis Tools - Vulnerability Classification & Scoring |
| Web Server & Application Attacks | 8% | - Web Application Attacks: XSS, CSRF - Web Security Countermeasures - Web Server Vulnerabilities - API Security Risks - SQL Injection & Command Injection |
| Enumeration | 7% | - Enumeration Countermeasures - NetBIOS, SNMP, LDAP Enumeration - Enumeration Concepts - DNS, SMTP, NFS Enumeration - AI-Driven Enumeration |
| Cryptography | 5% | - Cryptography in Practice - Encryption Concepts & Algorithms - Public Key Infrastructure - Cryptanalysis & Attacks |
| Evading IDS, Firewalls, and Honeypots | 5% | - Evasion Techniques - IDS, IPS, Firewall Technologies - Honeypot Concepts & Detection |
| Cloud Computing | 5% | - Cloud Security Best Practices - Cloud Security Risks - Cloud Models & Services - AWS, Azure, GCP Attacks |
| Scanning Networks | 8% | - Scanning Beyond IDS/Firewall - Service & OS Fingerprinting - Network Scanning Basics - AI-Assisted Scanning - Scanning Countermeasures - Host & Port Discovery |
| Sniffing | 5% | - Sniffing Countermeasures - Packet Sniffing Concepts - Sniffing Tools & Techniques - MITM Attacks |
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NEW QUESTION # 767
In the secure testing environment of a large financial institution in Chicago, Illinois, ethical hacker Ethan Brooks was performing enumeration during a red-team assessment. While targeting an internal server, he ran nmap -sR < target IP > followed by nmap -T4 -A < target IP > to probe active services.
The server returned a detailed inventory of registered programs, their unique identifiers, and the specific ports on which each program was listening. This output gave Ethan a precise map of possible entry points for later testing without requiring authentication.
What enumeration technique was Ethan most likely using?
Answer: D
Explanation:
The returned program identifiers, version information, and dynamically assigned listening ports are characteristic of Remote Procedure Call enumeration. RPC services register with a portmapper or RPC binder, which maintains the association between RPC program numbers, supported versions, transport protocols, and network ports. Querying that service reveals the exposed RPC attack surface, making option D correct.
Historically, Nmap's -sR option performed an RPC scan against discovered ports. Modern Nmap integrates much of this behavior into service/version detection, and NSE scripts such as rpcinfo can query the portmapper directly. Nmap's official rpcinfo documentation states that it retrieves all registered programs and reports their RPC program numbers, versions, protocols, ports, and names.
SMB enumeration targets Windows shares, users, groups, sessions, and policies, usually through ports 139 or
445. VoIP enumeration looks for SIP extensions, servers, and telephony endpoints. IPsec enumeration attempts to identify VPN gateways, security associations, or Internet Key Exchange configurations. None produces the registered RPC program inventory described. From a defensive standpoint, unused RPC services should be disabled, portmapper access restricted, hosts segmented, and exposed RPC programs patched and monitored.
NEW QUESTION # 768
Which of the following are well-known password-cracking programs?
Answer: C,E
Explanation:
Well-known and widely used password-cracking tools include:
* A. L0phtcrack - Windows password auditing tool that can crack LM and NTLM hashes.
* E. John the Ripper - Versatile password cracker that supports many hash types on Unix, Windows, etc.
Incorrect Options:
* B. NetCat - A network tool used for port scanning and data transfer.
* C. "Jack the Ripper" is likely a mistaken reference to John the Ripper.
* D. Netbus - A remote access Trojan, not a password cracker.
From CEH v13 Courseware:
* Module 6: Password Cracking Tools
Reference:CEH v13 Study Guide - Module 6: Common Password Cracking Tools
NEW QUESTION # 769
During a penetration test at a shipping company in Miami, ethical hacker Daniel delivers a disguised email attachment containing a hidden payload. Once executed by employees, the compromised workstations begin to silently communicate with a remote server under Daniel's control. Over the following week, he confirms that multiple infected endpoints can receive synchronized commands and perform background tasks simultaneously, including sending bursts of outbound traffic on demand.
Which type of malicious component is Daniel most likely simulating in this assessment?
Answer: B
Explanation:
The correct answer is B. Botnet Agents because the behavior described matches a command-and-control (C2) driven malware model where multiple compromised systems ("bots" or "zombies") communicate with a remote controller and can be issued coordinated commands. In CEH-aligned malware concepts, a botnet is a collection of infected endpoints under centralized or distributed control. The malicious component installed on each infected workstation is commonly referred to as a bot/bot agent, which "checks in" to a C2 server to receive instructions and execute tasks silently in the background.
Several details strongly indicate botnet agent behavior: the payload is delivered via a disguised email attachment (a common initial infection vector), compromised machines silently communicate outbound to a remote server, and-most importantly-Daniel confirms multiple infected endpoints can receive synchronized commands and carry out actions simultaneously. The example of "sending bursts of outbound traffic on demand" aligns with typical botnet capabilities such as orchestrated DDoS traffic generation, mass scanning, spam sending, credential stuffing, or distributed task execution. The sustained observation "over the following week" also fits a botnet model where infected hosts maintain persistence and periodically beacon to C2 for updates and instructions.
Why the other options do not fit: Spyware primarily focuses on covertly collecting information (keystrokes, screenshots, browsing data) rather than executing synchronized commands across many machines. Scareware relies on alarming messages to trick users into paying or installing unwanted software; it does not describe silent C2 coordination. PUAs are typically unwanted but not necessarily malicious, often installed via bundling and usually lack structured C2 for coordinated remote command execution.
Therefore, the malicious component being simulated is best identified as botnet agents operating under C2 control.
NEW QUESTION # 770
A certified ethical hacker is conducting a Whois footprinting activity on a specific domain. The individual is leveraging various tools such as Batch IP Converter and Whols Analyzer Pro to retrieve vital details but is unable to gather complete Whois information from the registrar for a particular set of data. As the hacker, what might be the probable data model being utilized by the domain's registrar for storing and looking up Who is information?
Answer: B
Explanation:
A thin Whois model is a type of data model that is used by some domain registrars for storing and looking up Whois information. In a thin Whois model, the registrar only stores the basic information about the domain, such as the domain name, the registrar name, the name servers, and the registration and expiration dates. The rest of the information, such as the contact details of the domain owner, the administrative contact, and the technical contact, is stored by the registry that manages the top-level domain (TLD) of the domain. For example, the registry for .com and .net domains is Verisign, and the registry for .org domains is Public Interest Registry. When a Whois lookup is performed on a domain that uses a thin Whois model, the registrar' s Whois server only returns the basic information and refers the query to the registry's Whois server for the complete information1.
As a hacker, if you are unable to gather complete Whois information from the registrar for a particular set of data, it might be because the domain's registrar is using a thin Whois model and the registry's Whois server is not responding or providing the information. This could be due to various reasons, such as network issues, server errors, rate limits, privacy policies, or legal restrictions. Therefore, the probable data model being utilized by the domain's registrar for storing and looking up Whois information is a thin Whois model working correctly.
References:
* Differences Between Thin WHOIS vs Thick WHOIS - OpenSRS Help & Support
NEW QUESTION # 771
During a security penetration test at Sterling Manufacturing in Cleveland, Ohio, the ethical hacking team evaluates the company's physical security controls. On a chilly evening in July
2025, ethical hacker Priya Desai, posing as a facilities contractor, accesses the company's loading dock area after regular business hours. Behind the employee entrance, she comes across an unsecured maintenance container with discarded packaging, shipping labels, and shredded office material. Among the clutter, Priya retrieves a crumpled document listing temporary access codes for the employee break room, along with a partially shredded memo referencing an upcoming audit. The exercise tests whether sensitive information discarded improperly can be exploited. The next day, Priya uses the recovered access codes to enter the break room undetected during a shift change, logging her entry on a controlled test system to simulate a breach. What social engineering technique is Priya's exercise primarily simulating?
Answer: D
Explanation:
The scenario involves retrieving sensitive information such as access codes and internal documents from discarded materials. This is characteristic of dumpster diving, where attackers search through waste to obtain confidential information that can be used for unauthorized access.
NEW QUESTION # 772
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