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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Enumeration | 7% | - Enumeration Concepts - AI-Driven Enumeration - NetBIOS, SNMP, LDAP Enumeration - Enumeration Countermeasures - DNS, SMTP, NFS Enumeration |
| Topic 2: Cryptography | 5% | - Public Key Infrastructure - Cryptanalysis & Attacks - Encryption Concepts & Algorithms - Cryptography in Practice |
| Topic 3: Social Engineering | 6% | - Social Engineering Concepts - Phishing, Pretexting, Baiting - Identity Theft - Countermeasures & Awareness |
| Topic 4: Footprinting and Reconnaissance | 7% | - OSINT Techniques - Reconnaissance Concepts - DNS, WHOIS, Network Mapping - Reconnaissance Countermeasures |
| Topic 5: Mobile Platforms | 4% | - Android & iOS Vulnerabilities - Mobile Attack Vectors - Mobile Device Security |
| Topic 6: Cloud Computing | 5% | - Cloud Security Risks - Cloud Models & Services - AWS, Azure, GCP Attacks - Cloud Security Best Practices |
| Topic 7: Wireless Networks | 5% | - Security Best Practices - Wireless Encryption: WEP, WPA2, WPA3 - Wireless Hacking Tools - Wireless Threats & Attacks |
| Topic 8: Session Hijacking | 4% | - Session Hijacking Concepts - Hijacking Techniques - Countermeasures - Application & Network Level Hijacking |
| Topic 9: Evading IDS, Firewalls, and Honeypots | 5% | - IDS, IPS, Firewall Technologies - Evasion Techniques - Honeypot Concepts & Detection |
| Topic 10: Vulnerability Analysis | 8% | - Vulnerability Research & Databases - Vulnerability Classification & Scoring - Vulnerability Assessment Lifecycle - Scanning & Analysis Tools |
| Topic 11: IoT & OT Security | 4% | - IoT/OT Architecture & Risks - Attacks on IoT & OT Systems - Security Controls |
| Topic 12: Web Server & Application Attacks | 8% | - Web Application Attacks: XSS, CSRF - SQL Injection & Command Injection - Web Server Vulnerabilities - API Security Risks - Web Security Countermeasures |
| Topic 13: Denial-of-Service | 4% | - Defense Mechanisms - Attack Techniques & Botnets - DoS & DDoS Concepts - DDoS Tools |
| Topic 14: Scanning Networks | 8% | - Network Scanning Basics - Service & OS Fingerprinting - AI-Assisted Scanning - Scanning Beyond IDS/Firewall - Scanning Countermeasures - Host & Port Discovery |
| Topic 15: Introduction to Ethical Hacking | 5% | - Legal and Ethical Compliance - Ethical Hacking Methodology - Information Security Concepts - Cyber Kill Chain & MITRE ATT&CK |
| Topic 16: Sniffing | 5% | - Sniffing Countermeasures - Sniffing Tools & Techniques - Packet Sniffing Concepts - MITM Attacks |
| Topic 17: Malware Threats | 7% | - Malware Analysis & Countermeasures - Malware Types: Trojans, Viruses, Worms - APT & Fileless Malware - AI-Powered Malware |
| Topic 18: System Hacking | 8% | - Gaining Access: Password Attacks - Maintaining Access - Clearing Tracks & Logs - Privilege Escalation |
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NEW QUESTION # 840
In the secure internal network of a major manufacturing plant in Detroit, Michigan, ethical hacker Lucas Rivera was performing host discovery during the initial scanning phase of a red-team assessment. Standard diagnostic packets sent to the target subnet produced no responses, leaving him unable to identify any live systems through conventional methods.
Switching tactics, he issued a different set of lightweight probes directly at the local network segment. Within seconds, responses began arriving that included hardware addresses for multiple active devices, confirming which systems were online.
What host discovery technique was Lucas most likely using?
Answer: B
Explanation:
Lucas used an ARP ping scan. On a local Ethernet segment, the scanner broadcasts ARP requests asking which device owns each target IPv4 address. An active device normally replies with its MAC address, allowing the scanner to confirm that the host is online. This method does not depend on the target accepting ICMP Echo Requests or exposing a TCP or UDP service.
The returned hardware addresses are conclusive evidence of ARP-based discovery. UDP probes generate UDP responses or ICMP port-unreachable messages, not ARP-derived hardware-address results. An ICMP Echo scan depends on Echo Replies and corresponds to the conventional diagnostic traffic that produced no responses. A TCP SYN ping sends connection-initiation probes to selected TCP ports and determines host availability from SYN-ACK or RST responses.
ARP scanning is particularly reliable on a local broadcast domain because systems need ARP or an equivalent neighbor-discovery mechanism to communicate with other IPv4 devices on that segment. Firewalls may block IP-based ping traffic while hosts still respond to ARP. The official Nmap host-discovery documentation explains that ARP is Nmap's default discovery method for detected local Ethernet targets because it is generally faster and more accurate than IP-based probes. Therefore, A is correct; the UDP selection shown in the recording is technically incorrect.
NEW QUESTION # 841
A financial services firm detects that outbound corporate emails containing sensitive underwriting data were intercepted while transmitted over unsecured channels. To immediately restore confidentiality and ensure authenticity of executive communications, the security operations team deploys a standardized email encryption framework compatible with the organization's Microsoft Outlook environment.
The selected solution must support digital signatures for sender authentication, rely on a public- key infrastructure for secure key exchange, and enable recipients to validate signed messages using certificates issued by trusted authorities.
Identify the email encryption standard that best fulfills these requirements.
Answer: B
Explanation:
S/MIME is an email security standard that uses public-key infrastructure to provide encryption and digital signatures. It integrates natively with Microsoft Outlook environments, allowing authenticated, certificate-based message signing and secure key exchange through trusted certificate authorities.
NEW QUESTION # 842
What is the BEST alternative if you discover that a rootkit has been installed on one of your computers?
Answer: D
Explanation:
Rootkits can deeply infect and compromise a system's kernel, making them very difficult to detect or remove fully. Even advanced antivirus solutions may miss them.
The most secure and recommended response is:
* Completely wipe the compromised system.
* Reinstall the OS from known good (clean) media.
* Apply all patches and updates.
From CEH v13 Official Courseware:
* Module 6: Malware Threats # Rootkit Handling
Incorrect Options:
* A: Copying files might transfer infected components.
* B: Trap and trace is investigative, not remedial.
* C: Deleting files may not fully remove the rootkit.
* D: Backups might be infected if taken post-compromise.
Reference:CEH v13 Study Guide - Module 6: Rootkit Detection and RecoverySANS Incident Handling Handbook
NEW QUESTION # 843
You are a penetration tester tasked with testing the wireless network of your client Brakeme SA.
You are attempting to break into the wireless network with the SSID "Brakeme-Internal." You realize that this network uses WPA3 encryption. Which of the following vulnerabilities is the promising to exploit?
Answer: A
NEW QUESTION # 844
A financial institution in New York deploys an AI-enabled security system that analyzes historical attack data and ongoing network behavior. Over several months, the platform modifies its detection models to recognize emerging attack patterns without requiring security engineers to manually rewrite detection rules.
As new exploit techniques appear, the system adjusts its internal logic to improve future detection accuracy.
Which capability of AI-driven ethical hacking is demonstrated in this scenario?
Answer: B
Explanation:
Adaptive Learning describes an AI system ' s ability to improve or modify its behavior as it receives new information and en counters changing attack patterns. The key clue is that the platform continually adjusts its detection model rather than depending on security engineers to manually rewrite static rules. Continuous monitoring refers primarily to persistent observation of systems and events. Predictive analysis uses historical information to forecast likely future events, whereas advanced threat detection describes the broader outcome of identifying sophisticated attacks. Here, the distinctive capability is the model ' s capacity to learn from new exploit behavior and refine subsequent detection decisions. EC-Council specifically positions AI and machine learning as a major CEH v13 technology update, and its CEH v13 training material explicitly lists Adaptive Learning among the AI-driven cybersecurity capabilities.
NEW QUESTION # 845
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