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| Section | Weight | Objectives |
|---|---|---|
| Vulnerability Analysis | 7% | - Vulnerability Assessment Concepts
|
| Sniffing and Evasion | 10% | - Network Evasion
|
| Mobile Platform and IoT Attacks | 7% | - Mobile Platform Attack Vectors
|
| Wireless Network Attacks | 9% | - Wireless Hacking Methodology
|
| Web Application Attacks | 19% | - Web Application Concepts and Attacks
|
| Cloud and Container Attacks | 10% | - Cloud Attacks and Security
|
| Information Security and Ethical Hacking Overview | 6% | - Ethical Hacking Overview
|
| Cryptography and Post-Exploitation | 13% | - Cryptography Concepts
|
| Enumeration | 15% | - Enumeration Process
|
| Reconnaissance Techniques | 21% | - Scanning Networks
|
| System Hacking | 17% | - System Hacking Tools and Countermeasures
|
| Malware Threats | 8% | - Malware Analysis and Distribution
|
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NEW QUESTION # 818
A penetration tester needs to identify open ports and services on a target network without triggering the organization's intrusion detection systems, which are configured to detect high-volume traffic and common scanning techniques. To achieve stealth, the tester decides to use a method that spreads out the scan over an extended period. Which scanning technique should the tester employ to minimize the risk of detection?
Answer: B
Explanation:
The CEH v13 content explains that stealth scanning involves modifying scan timing parameters to reduce packet frequency, randomize intervals, and avoid recognizable patterns typically flagged by intrusion detection systems. Slow, randomized timing-often achieved with Nmap's T0 or T1 timing templates- prevents bursts of traffic and allows scans to blend into normal network noise. IDS/IPS systems tuned for high-volume events may fail to detect such gradual reconnaissance. Fast SYN scans generate distinctive patterns easily identified by security monitoring tools. UDP scans, especially across all ports, produce high traffic volume and are extremely noisy. Xmas scans, although sometimes used for stealth against stateless filters, are still signature-detectable and inappropriate when stealth over time is required. Therefore, applying slow, randomized timing options aligns with CEH-approved reconnaissance techniques for evading detection while enumerating open ports.
NEW QUESTION # 819
Jack, a disgruntled ex-employee of Incalsol Ltd., decided to inject fileless malware into Incalsol's systems. To deliver the malware, he used the current employees' email IDs to send fraudulent emails embedded with malicious links that seem to be legitimate. When a victim employee clicks on the link, they are directed to a fraudulent website that automatically loads Flash and triggers the exploit. What is the technique used byjack to launch the fileless malware on the target systems?
Answer: B
Explanation:
Launching Fileless Malware through Phishing Attackers commonly use social engineering techniques such as phishing to spread fileless malware to the target systems. Fileless malware exploits vulnerabilities in system tools to load and run malicious payloads on the victim's machine to compromise the sensitive information stored in the process memory. (P.978/962)
NEW QUESTION # 820
#!/usr/bin/python
import socket
buffer=["A"]
counter=50
while len(buffer)<=100:
buffer.append("A"*counter)
counter=counter+50
commands=["HELP","STATS","RTIME","LTIME","SRUN","TRUN","GMON","GDOG","KSTET"," GTER","HTER","LTER","KSTAN"] for command in commands:
for buffstring in buffer:
print "Exploiting " + command + ": " + str(len(buffstring))
s=socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect(('127.0.0.1', 9999))
s.recv(50)
s.send(command + buffstring)
s.close()
What is the code written for?
Answer: C
Explanation:
In CEH v13 Module 05: System Hacking, and in lab-based exploitation exercises, this is a classic fuzzer for buffer overflow testing.
The script creates increasingly larger strings of "A" (50, 100, 150...).
These are passed as arguments to different vulnerable commands on the target service (127.0.0.1:9999).
The goal is to trigger a crash, typically when input exceeds buffer limits (i.e., buffer overflow).
This is part of exploit development to identify the offset and locate the instruction pointer overwrite (EIP overwrite).
Reference:
CEH v13 Module 05 - Buffer Overflow Concepts
CEH iLabs: Exploitation with Custom Fuzzers in Python
EC-Council Exploit Development Lab Manual
NEW QUESTION # 821
A Java app uses Random() for session tokens. What is the risk?
Answer: A
Explanation:
The correct answer is C because using Java Random() for session tokens can create predictable tokens.
Session tokens must be unpredictable because they identify authenticated user sessions. In CEH web application and session hijacking concepts, weak or simple session IDs allow attackers to guess or brute-force valid IDs and gain unauthorized access to the target application. CEH session hijacking material also explains that attackers may predict session IDs by observing currently used tokens, identifying constant and variable parts, and guessing the next token. Java Random() is a general-purpose pseudorandom generator, not a cryptographically secure random number generator, so it should not be used for authentication tokens. The secure approach is to generate long, complex, random session IDs and regenerate them after authentication or privilege changes. This is not session fixation, where an attacker forces a known session ID on a victim; not XSS, which injects browser-side scripts; and not CSRF, which abuses a victim's authenticated browser actions.
NEW QUESTION # 822
A financial institution in Atlanta, Georgia, launches an internal investigation after discovering that highly confidential executive information has been exfiltrated over several weeks.
Forensic analysis of the involved mobile devices shows no suspicious applications installed and no obvious signs of compromise. However, advanced memory analysis identifies a stealthy background process capable of silently recording audio conversations, capturing screenshots, accessing encrypted messaging data in real time, and transmitting precise location information without requiring user interaction.
The initial infection vector is determined to be a zero-click exploit delivered through a legitimate messaging application.
Based on the observed behavior, what malware is most consistent with this incident?
Answer: B
Explanation:
Pegasus is the correct answer because the scenario describes advanced, covert mobile surveillance combined with a zero-click infection vector. Pegasus spyware has been associated with exploitation chains capable of compromising mobile devices without requiring victims to open malicious attachments or manually install suspicious applications. Once compromised, spyware of this class can access sensitive communications, microphone and camera functions, location information, screenshots, and other device data while maintaining a very low visible footprint. Agent Smith is primarily associated with replacing or modifying Android applications and ad-fraud behavior; List A itself distinguishes Pegasus as advanced spyware focused on surveillance and data extraction. GoldPickaxe and Mamont are associated with different mobile fraud and credential-theft patterns. The surveillance profile therefore identifies Pegasus.
NEW QUESTION # 823
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