312-50v13 Exam Dumps - Certified Ethical Hacker Exam (CEHv13)

Comprehensive and Detailed Explanation:

Containers share the same host operating system kernel, unlike VMs which run isolated kernels. This shared kernel increases the attack surface — a compromise in one container can potentially affect the entire host if kernel-level access is obtained.

From CEH v13 Courseware:

Module 14: Hacking Web Applications → Container Security

“Containers are less secure because they share the host kernel. Attackers compromising the container can exploit vulnerabilities in the shared OS.”

Wireless network assessment determines the vulnerabilities in an organization’s wireless networks. In the past, wireless networks used weak and defective data encryption mechanisms. Now, wireless network standards have evolved, but many networks still use weak and outdated security mechanisms and are open to attack. Wireless network assessments try to attack wireless authentication mechanisms and gain unauthorized access. This type of assessment tests wireless networks and identifies rogue networks that may exist within an organization’s perimeter. These assessments audit client-specified sites with a wireless network. They sniff wireless network traffic and try to crack encryption keys. Auditors test other network access if they gain access to the wireless network.

Expanding your network capabilities are often done well using wireless networks, but it also can be a source of harm to your data system . Deficiencies in its implementations or configurations can allow tip to be accessed in an unauthorized manner.This makes it imperative to closely monitor your wireless network while also conducting periodic Wireless Network assessment.

It identifies flaws and provides an unadulterated view of exactly how vulnerable your systems are to malicious and unauthorized accesses.

Identifying misconfigurations and inconsistencies in wireless implementations and rogue access points can improve your security posture and achieve compliance with regulatory frameworks.

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)

A Multipartite Virus is designed to infect both the boot sector and executable files of a system. This makes it more complex and harder to remove than viruses that target only one area. It can spread in multiple ways and activate under different conditions depending on whether the infected file or boot sector is accessed first.

CEH v13 Official Curriculum states:

“Multipartite viruses infect both the boot sector and program files. They are difficult to remove and can reinfect the system unless both locations are cleaned simultaneously.”

Incorrect Options:

A. Polymorphic viruses change their code signatures but do not necessarily target both boot and executable areas.

B. Stealth viruses conceal their presence, often by intercepting system calls.

D. Macro viruses infect macro-enabled files, typically in Microsoft Office documents.

Reference – CEH v13 Guide:

Module 06: Malware Threats

Topic: Types of Malware – Multipartite Viruses

The Security Account Manager (SAM) file on Windows contains user account information, including password hashes. Hackers target this file to extract credentials for offline cracking using tools like L0phtCrack or Cain & Abel.

From CEH v13 Official Courseware:

Module 6: Malware Threats

Module 4: Enumeration

CEH v13 Study Guide states:

“The SAM file stores hashed user credentials. If attackers gain access to it, they can extract password hashes and perform brute-force or dictionary attacks offline.”

Common locations:

C:\Windows\System32\config\SAM

C:\Windows\Repair\SAM

Wireless Threats - Confidentiality Attacks Launch of Wireless Attacks: Evil Twin Evil Twin is a wireless AP that pretends to be a legitimate AP by replicating another network name. Attackers set up a rogue AP outside the corporate perimeter and lures users to sign into the wrong AP. (P.2297/2281)

The command usage that would best serve your objective to find where the NTP server obtains the time from and to trace the list of NTP servers connected to the network is ntptrace -n -m 5 192.168.1.1. This command usage works as follows:

ntptrace is a tool that determines where a given NTP server gets its time from, and follows the chain of NTP servers back to their master time source. For example, a stratum 0 server, which is a device that directly obtains the time from a physical source, such as an atomic clock or a GPS receiver1.

-n is a flag that outputs host IP addresses instead of host names. This can be useful if the host names are not resolvable or if the IP addresses are more informative1.

-m 5 is a flag that specifies the maximum number of hosts to be traced. This can be useful to limit the output and avoid tracing irrelevant or unreachable hosts1.

192.168.1.1 is the IP address of the NTP server in the demilitarized zone, which is the starting point of the trace. This can be useful to find out the source and the path of the time synchronization for the network system1.

By using this command usage, the output will show the IP addresses, the stratum, the offset, the sync distance, and the reference ID of each NTP server in the chain, up to five hosts. This can provide valuable information about the accuracy, the reliability, and the security of the time service for the network system1.

The other options are not as suitable as option D for the following reasons:

A. ntptrace -m 5 192.168.1.1: This option is similar to option D, but it does not use the -n flag, which means that it will output host names instead of IP addresses. This can be less useful if the host names are not resolvable or if the IP addresses are more informative1.

B. tptrace 192.1681.: This option is incorrect because it uses a wrong tool name and a wrong IP address. tptrace is not a valid tool name, and 192.1681. is not a valid IP address. The correct tool name is ntptrace, and the correct IP address is 192.168.1.11.

C. ntptrace -n localhost: This option is not effective because it uses localhost as the starting point of the trace, which means that it will only show the local host’s time source. This can be useful to check the local host’s time configuration, but it does not help to find out the time source and the trace of the NTP server in the demilitarized zone, which is the objective of this scenario1.

Employing a tool like Sublist3r, which is designed to enumerate the subdomains of websites using OSINT, would be the most effective method to accomplish this goal. This option works as follows:

Sublist3r is a python tool designed to enumerate subdomains of websites using OSINT (Open Source Intelligence). It helps penetration testers and bug hunters collect and gather subdomains for the domain they are targeting. Sublist3r enumerates subdomains using many search engines such as Google, Yahoo, Bing, Baidu, and Ask. Sublist3r also enumerates subdomains using Netcraft, Virustotal, ThreatCrowd, DNSdumpster, and ReverseDNS. Subbrute was integrated with Sublist3r to increase the possibility of finding more subdomains using bruteforce with an improved wordlist1.

By using Sublist3r, the tester can quickly and efficiently discover the subdomains of the target organization’s website, which can provide valuable information about the network structure, the services offered, the potential vulnerabilities, and the attack surface. Sublist3r can also be used to perform passive reconnaissance, which does not send any packets to the target domain, and thus avoids detection by the target organization12.

The other options are not as effective as option A for the following reasons:

B. Analyzing Linkedin profiles to find employees of the target company and their job titles: This option is not relevant because it does not address the subdomain enumeration task, but the social engineering task. Linkedin is a social networking platform that allows users to create and share their professional profiles, which may include their name, job title, company, skills, education, and contacts. By analyzing Linkedin profiles, the tester may be able to find employees of the target company and their job titles, which can be useful for crafting phishing emails, impersonating employees, or exploiting human weaknesses. However, this option does not help to discover the subdomains of the target organization’s website, which is the goal of this scenario3.

C. Utilizing the Harvester tool to extract email addresses related to the target domain using a search engine like Google or Bing: This option is not sufficient because it does not provide a comprehensive list of subdomains, but only a partial list based on email addresses. The Harvester is a tool that can extract email addresses, subdomains, hosts, employee names, open ports, and banners from different public sources, such as search engines, PGP key servers, and SHODAN computer database. By using the Harvester, the tester may be able to extract some email addresses related to the target domain, which can reveal some subdomains, such as mail.target.com or support.target.com. However, this option does not guarantee to find all the subdomains of the target organization’s website, as some subdomains may not have any email addresses associated with them, or may not be indexed by the search engines4.

D. Using a people search service, such as Spokeo or Intelius, to gather information about the employees of the target organization: This option is not applicable because it does not address the subdomain enumeration task, but the personal information gathering task. Spokeo and Intelius are people search services that can provide various information about individuals, such as their name, address, phone number, email, social media, criminal records, and financial history. By using these services, the tester may be able to gather information about the employees of the target organization, which can be useful for performing background checks, identity theft, or blackmail. However, this option does not help to discover the subdomains of the target organization’s website, which is the goal of this scenario56.