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ECCouncil Certified Ethical Hacker Exam (CEHv13) Sample Questions (Q112-Q117):

NEW QUESTION # 112
You are a cybersecurlty consultant for a smart city project. The project involves deploying a vast network of loT devices for public utilities like traffic control, water supply, and power grid management The city administration is concerned about the possibility of a Distributed Denial of Service (DDoS) attack crippling these critical services. They have asked you for advice on how to prevent such an attack. What would be your primary recommendation?

A. A Deploy network intrusion detection systems (IDS) across the loT network.
B. Implement IP address whitelisting for all loT devices.
C. Implement regular firmware updates for all loT devices.
D. Establish strong, unique passwords for each loT device.

Answer: C

Explanation:
Implementing regular firmware updates for all IoT devices is the primary recommendation to prevent DDoS attacks on the smart city project. Firmware updates can fix security vulnerabilities, patch bugs, and improve performance of the IoT devices, making them less susceptible to malware infections and botnet recruitment12. Firmware updates can also enable new security features, such as encryption, authentication, and firewall, that can protect the IoT devices from unauthorized access and data theft3. Firmware updates should be done automatically or remotely, without requiring user intervention, to ensure timely and consistent security across the IoT network4.
The other options are not as effective or feasible as firmware updates for the following reasons:
* B. Deploying network intrusion detection systems (IDS) across the IoT network can help detect and alert DDoS attacks, but not prevent them. IDS can monitor network traffic and identify malicious patterns, such as high volume, spoofed IP addresses, or unusual protocols, that indicate a DDoS attack5.
However, IDS cannot block or mitigate the attack, and may even be overwhelmed by the flood of traffic, resulting in false positives or missed alerts. Moreover, deploying IDS across a vast network of IoT devices can be costly, complex, and resource-intensive, as it requires dedicated hardware, software, and personnel.
* C. Establishing strong, unique passwords for each IoT device can prevent unauthorized access and brute-force attacks, but not DDoS attacks. Passwords can protect the IoT devices from being compromised by hackers who try to guess or crack the default or weak credentials. However, passwords cannot prevent DDoS attacks that exploit known or unknown vulnerabilities in the IoT devices, such as buffer overflows, command injections, or protocol flaws. Moreover, establishing and managing strong, unique passwords for each IoT device can be challenging and impractical, as it requires user awareness, memory, and effort.
* D. Implementing IP address whitelisting for all IoT devices can restrict network access and communication to trusted sources, but not DDoS attacks. IP address whitelisting can filter out unwanted or malicious traffic by allowing only the predefined IP addresses to connect to the IoT devices.
However, IP address whitelisting cannot prevent DDoS attacks that use spoofed or legitimate IP addresses, such as reflection or amplification attacks, that bypass the whitelisting rules. Moreover, implementing IP address whitelisting for all IoT devices can be difficult and risky, as it requires constant updating, testing, and monitoring of the whitelist, and may block legitimate or emergency traffic by mistake.
References:
* 1: How to proactively protect IoT devices from DDoS attacks - Synopsys
* 2: IoT and DDoS: Cyberattacks on the Rise | A10 Networks
* 3: Detection and Prevention of DDoS Attacks on the IoT - MDPI
* 4: How to Secure IoT Devices: 5 Best Practices | IoT For All
* 5: Intrusion Detection Systems (IDS) Part 1 - Network Security | Coursera
* : DDoS Attacks: Detection and Mitigation - Cisco
* : The Challenges of IoT Security - Infosec Resources
* : IoT Security: How to Protect Connected Devices and the IoT Ecosystem | Kaspersky
* : IoT Security: Common Vulnerabilities and Attacks | IoT For All
* : The Password Problem: How to Use Passwords Effectively in 2021 | Dashlane Blog
* : What is IP Whitelisting? | Cloudflare
* : DDoS Attacks: Types, Techniques, and Protection | Cloudflare
* : IP Whitelisting: Pros and Cons | Imperva

NEW QUESTION # 113
Which type of malware spreads from one system to another or from one network to another and causes similar types of damage as viruses do to the infected system?

A. Worm
B. Adware
C. Trojan
D. Rootkit

Answer: A

Explanation:
In CEH v13 Module 06: Malware Threats, a worm is described as a self-replicating piece of malware that spreads independently from one system to another without needing to attach itself to any file or program (unlike viruses).
Key Characteristics of Worms:
Capable of network propagation without human interaction.
Often used in mass attacks (e.g., WannaCry, Conficker).
Can cause significant damage by:
Consuming bandwidth.
Spreading payloads (e.g., ransomware).
Modifying or deleting files.
Option Clarification:
A: Rootkit: Hides presence of malware or attacker activities.
B: Trojan: Disguised as legitimate software; does not replicate.
C: Worm: Correct - self-replicating and spreads automatically.
D: Adware: Primarily shows ads; not typically destructive or self-replicating.
Reference:
Module 06 - Types of Malware # Worms
CEH iLabs: Network Infection with Self-Spreading Worms

NEW QUESTION # 114
What is a "Collision attack" in cryptography?

A. Collision attacks try to break the hash into three parts to get the plaintext value
B. Collision attacks try to get the public key
C. Collision attacks try to break the hash into two parts, with the same bytes in each part to get the private key
D. Collision attacks try to find two inputs producing the same hash

Answer: D

NEW QUESTION # 115
What ports should be blocked on the firewall to prevent NetBIOS traffic from not coming through the firewall if your network is comprised of Windows NT, 2000, and XP?

A. 0
B. 1
C. 2
D. 3
E. 4
F. 5

Answer: B,E,F

NEW QUESTION # 116
An organization has been experiencing intrusion attempts despite deploying an Intrusion Detection System (IDS) and Firewalls. As a Certified Ethical Hacker, you are asked to reinforce the intrusion detection process and recommend a better rule-based approach. The IDS uses Snort rules and the new recommended tool should be able to complement it. You suggest using YARA rules with an additional tool for rule generation. Which of the following tools would be the best choice for this purpose and why?

A. AutoYara - Because it automates the generation of YARA rules from a set of malicious and benign files
B. yarGen - Because it generates YARA rules from strings identified in malware files while removing strings that also appear in goodware files
C. koodous - Because it combines social networking with antivirus signatures and YARA rules to detect malware
D. YaraRET - Because it helps in reverse engineering Trojans to generate YARA rules

Answer: B

Explanation:
YARA rules are a powerful way to detect and classify malware based on patterns, signatures, and behaviors.
They can be used to complement Snort rules, which are mainly focused on network traffic analysis. However, writing YARA rules manually can be time-consuming and error-prone, especially when dealing with large and diverse malware samples. Therefore, using a tool that can automate or assist the generation of YARA rules can be very helpful for ethical hackers.
Among the four options, yarGen is the best choice for this purpose, because it generates YARA rules from strings identified in malware files while removing strings that also appear in goodware files. This way, yarGen can reduce the false positives and increase the accuracy of the YARA rules. yarGen also supports various features, such as whitelisting, scoring, wildcards, and regular expressions, to improve the quality and efficiency of the YARA rules.
The other options are not as suitable as yarGen for this purpose. AutoYara is a tool that automates the generation of YARA rules from a set of malicious and benign files, but it does not perform any filtering or optimization of the strings, which may result in noisy and ineffective YARA rules. YaraRET is a tool that helps in reverse engineering Trojans to generate YARA rules, but it is limited to a specific type of malware and requires manual intervention and analysis. koodous is a platform that combines social networking with antivirus signatures and YARA rules to detect malware, but it is not a tool for generating YARA rules, rather it is a tool for sharing and collaborating on YARA rules. References:
* yarGen - A Tool to Generate YARA Rules
* YARA Rules: The Basics
* Why master YARA: from routine to extreme threat hunting cases

NEW QUESTION # 117
......

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