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

The SOA (Start of Authority) record contains key DNS parameters, including TTL (Time To Live). The components of an SOA record are in this order:

(domain) IN SOA (Primary Name Server) (Responsible party) (Serial) (Refresh) (Retry) (Expire) (Minimum TTL)

Given:

Rutgers.edu. SOA NS1.Rutgers.edu ipad.college.edu (200302028 3600 3600 604800 2400.)

Field breakdown:

Serial: 200302028

Refresh: 3600 seconds

Retry: 3600 seconds

Expire: 604800 seconds

Minimum TTL: 2400 seconds ← This is the TTL value

From CEH v13 Courseware:

Module 3: Scanning Networks

Topic: DNS Enumeration and Zone Transfers

Subsection: Understanding DNS Records

CEH v13 Study Guide states:

“In an SOA record, the last value is the Minimum TTL — the amount of time other DNS servers should cache resource records for the zone.”

Incorrect Options:

A: Serial number

B: Refresh interval

C: Expiry interval

E/F: Arbitrary, not part of the SOA shown

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.

«Many IDS reassemble communication streams; hence, if a packet is not received within a reasonable period, many IDS stop reassembling and handling that stream. If the application under attack keeps a session active for a longer time than that spent by the IDS on reassembling it, the IDS will stop. As a result, any session after the IDS stops reassembling the sessions will be susceptible to malicious data theft by attackers. The IDS will not log any attack attempt after a successful splicing attack. Attackers can use tools such as Nessus for session splicing attacks.»

Did you know that the EC-Council exam shows how well you know their official book? So, there is no "Whisker" in it. In the chapter "Evading IDS" -> "Session Splicing", the recommended tool for performing a session-splicing attack is Nessus. Where Wisker came from is not entirely clear, but I will assume the author of the question found it while copying Wikipedia.

https://en.wikipedia.org/wiki/Intrusion_detection_system_evasion_techniques

One basic technique is to split the attack payload into multiple small packets so that the IDS must reassemble the packet stream to detect the attack. A simple way of splitting packets is by fragmenting them, but an adversary can also simply craft packets with small payloads. The 'whisker' evasion tool calls crafting packets with small payloads 'session splicing'.

By itself, small packets will not evade any IDS that reassembles packet streams. However, small packets can be further modified in order to complicate reassembly and detection. One evasion technique is to pause between sending parts of the attack, hoping that the IDS will time out before the target computer does. A second evasion technique is to send the packets out of order, confusing simple packet re-assemblers but not the target computer.

NOTE: Yes, I found scraps of information about the tool that existed in 2012, but I can not give you unverified information. According to the official tutorials, the correct answer is Nessus, but if you know anything about Wisker, please write in the QA section. Maybe this question will be updated soon, but I'm not sure about that.

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

IoTSeeker is a specialized tool used to identify Internet of Things (IoT) devices that are accessible over a network and are still configured with their default factory credentials. These devices often ship with insecure settings, which attackers can exploit.

From CEH v13 Official Courseware:

IoTSeeker:

Automatically scans for common IoT devices

Uses a database of known default usernames and passwords

Flags insecure devices for further investigation or exploitation

The tool is commonly used in the reconnaissance phase for identifying low-hanging vulnerabilities in IoT environments.

Incorrect options:

B. IoT Inspector monitors network traffic for smart devices but is more focused on behavior monitoring than credential scanning.

C. AT&T IoT Platform and D. Azure IoT Central are legitimate enterprise platforms for IoT device management and are not penetration testing tools.

Reference – CEH v13 Official Courseware:

Module 18: IoT and OT Hacking

Section: “IoT Attack Surface”

Tool Reference: “IoTSeeker”

Practical Lab: CEH Engage IoT Device Discovery

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According to CEH v13 Module 04: Enumeration and Module 08: Sniffing, packet sniffers such as Wireshark, tcpdump, and EtherApe are designed to capture and analyze network traffic at the data link (Layer 2) and network (Layer 3) layers of the OSI model.

At Layer 2 (Data Link), sniffers capture Ethernet frames, including MAC addresses and frame type.

At Layer 3 (Network), sniffers interpret IP headers, IP addresses, and transport layer protocols (TCP, UDP).

They do not operate at Layer 1 (Physical) as they do not deal with raw electrical signals.

Packet sniffers also do not manipulate traffic but passively monitor and capture packets that traverse the network.

Therefore, the correct statement is:

Packet Sniffers operate on both Layer 2 & Layer 3 of the OSI model.

Option Analysis:

A. Layer 1: ❌ Incorrect. Layer 1 is the physical layer (electrical, optical signals).

B. Layer 2: ❌ Partially correct but incomplete.

C. Both Layer 2 & Layer 3: Correct. Full coverage of packet sniffing capabilities.

D. Layer 3: ❌ Partially correct but incomplete.

Reference from CEH v13 Courseware:

Module 08 – Sniffing, Section: How Packet Sniffers Work

CEH iLabs: Capturing Ethernet Frames and IP Packets Using Wireshark

OSI Model Mapping in CEH Official eBook

In CEH v13 Module 02: Footprinting and Reconnaissance, Google advanced operators are tools for passive information gathering.

related: operator is used to find websites similar to a given domain or webpage.

This helps attackers discover alternate domains, competitors, or similar content that may be vulnerable or poorly secured.

Example:

related:example.com

Will return a list of sites Google deems related to example.com.

Option Clarification:

A. inurl: – Searches for a keyword in the URL.

B. related: – Correct – Finds similar or related websites.

C. info: – Provides Google’s cached and indexed data about a URL.

D. site: – Restricts search to a specific domain or site.

To ensure both confidentiality and non-repudiation for secure email communication, you need to use a combination of symmetric and asymmetric cryptography. Symmetric encryption is a method of encrypting and decrypting data using the same secret key, which is faster and more efficient than asymmetric encryption. Asymmetric encryption is a method of encrypting and decrypting data using a pair of keys: a public key and a private key, which are mathematically related but not identical. Asymmetric encryption can provide authentication, integrity, and non-repudiation, as well as key distribution.

The cryptographic technique that would best serve the purpose is to apply asymmetric encryption with RSA and use the private key for signing. RSA is a widely used algorithm for asymmetric encryption, which is based on the difficulty of factoring large numbers. RSA can be used to encrypt data, as well as to generate digital signatures, which are a way of proving the identity and authenticity of the sender and the integrity of the message.

The steps to implement this technique are as follows1:

Generate a pair of keys for each user: a public key and a private key. The public key can be shared with anyone, while the private key must be kept secret and protected by the user.

When a user wants to send an email to another user, they first encrypt the email content with a symmetric key, such as AES, which is a strong and efficient algorithm for symmetric encryption. The symmetric key is then encrypted with the recipient’s public key, using RSA. The encrypted email and the encrypted symmetric key are then sent to the recipient.

The sender also generates a digital signature for the email, using their private key and a hash function, such as SHA-256, which is a secure and widely used algorithm for generating hashes. A hash function is a mathematical function that takes any input and produces a fixed-length output, called a hash or a digest, that uniquely represents the input. A digital signature is a hash of the email that is encrypted with the sender’s private key, using RSA. The digital signature is then attached to the email and sent to the recipient.

When the recipient receives the email, they first decrypt the symmetric key with their private key, using RSA. They then use the symmetric key to decrypt the email content, using AES. They also verify the digital signature by decrypting it with the sender’s public key, using RSA, and comparing the resulting hash with the hash of the email, using the same hash function. If the hashes match, it means that the email is authentic and has not been tampered with.

Using this technique, the email communication is secure because:

The confidentiality of the email content is ensured by the symmetric encryption with AES, which is hard to break without knowing the symmetric key.

The symmetric key is also protected by the asymmetric encryption with RSA, which is hard to break without knowing the recipient’s private key.

The non-repudiation of the email is ensured by the digital signature with RSA, which is hard to forge without knowing the sender’s private key.

The digital signature also provides authentication and integrity of the email, as it proves that the email was sent by the sender and has not been altered in transit.

Simple Network Management Protocol (SNMP) enumeration involves querying devices on the network for information such as routing tables, interface statistics, and system details.

Useful tools include:

A. SNMPUtil: A command-line Microsoft utility for sending SNMP requests.

B. SNScan: Tool from Foundstone for SNMP scanning and enumeration.

C. SNMPScan: Lightweight tool for scanning networks for SNMP-enabled devices.

D. SolarWinds IP Network Browser: A commercial tool for graphical SNMP enumeration.

From CEH v13 Courseware:

Module 4: Enumeration

Subsection: SNMP Enumeration Tools

Incorrect Option:

E. NMap can detect SNMP services, but is not specialized for SNMP enumeration like the others.

The technique that the hacker would consider next to obtain useful information about the underlying database is to utilize a blind injection technique that uses time delays or error signatures to extract information. A blind injection technique is a type of SQL injection technique that is used when the web application does not return any detailed error messages or data from the database, but only indicates whether the query was executed successfully or not. A blind injection technique relies on sending specially crafted SQL queries that cause a noticeable change in the behavior or response of the web application, such as a time delay or an error signature, which can then be used to infer information about the database. For example, the hacker could use the following methods12:

Time-based blind injection: This method involves injecting a SQL query that contains a time delay function, such as SLEEP() or WAITFOR DELAY, which pauses the execution of the query for a specified amount of time. The hacker can then measure the time difference between the normal and the delayed responses, and use it to determine whether the injected query was true or false. By using this method, the hacker can perform a binary search to guess the values of the data in the database, one bit at a time.

Error-based blind injection: This method involves injecting a SQL query that contains a deliberate error, such as a division by zero, a type mismatch, or an invalid conversion, which causes the database to generate an error message. The hacker can then analyze the error message, which may contain useful information about the database, such as the version, the name, the structure, or the data. By using this method, the hacker can exploit the error handling mechanism of the database to extract information.

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

A. Use the UNION operator to combine the result sets of two or more SELECT statements: This option is not feasible because it requires the web application to return data from the database, which is not the case in this scenario. The UNION operator is a SQL operator that allows the hacker to append the results of another SELECT statement to the original query, and display them as part of the web page. This way, the hacker can retrieve data from other tables or columns that are not intended to be shown by the web application. However, this option does not work when the web application does not return any data or error messages from the database, as in this scenario3.

B. Attempt to compromise the system through OS-level command shell execution: This option is not relevant because it is not a SQL injection technique, but a post-exploitation technique. OS-level command shell execution is a method of gaining access to the underlying operating system of the web server, by injecting a SQL query that contains a system command, such as xp_cmdshell, exec, or shell_exec, which executes the command on the server. This way, the hacker can perform various actions on the server, such as uploading files, downloading files, or running programs. However, this option does not help to obtain information about the database, which is the goal of this scenario4.

C. Try to insert a string value where a number is expected in the input field: This option is not effective because it is a basic SQL injection technique that is used to detect SQL injection vulnerabilities, not to exploit them. Inserting a string value where a number is expected in the input field is a method of triggering a syntax error in the SQL query, which may reveal the structure or the content of the query in the error message. This way, the hacker can identify the vulnerable parameters and the type of the database. However, this option does not work when the web application does not return any detailed error messages from the database, as in this scenario5.

PHI stands for Protected Health info. The HIPAA Privacy Rule provides federal protections for private health info held by lined entities and provides patients an array of rights with regard to that info. under HIPAA phi is considered to be any identifiable health info that’s used, maintained, stored, or transmitted by a HIPAA-covered entity – a healthcare provider, health plan or health insurer, or a aid clearinghouse – or a business associate of a HIPAA-covered entity, in relation to the availability of aid or payment for aid services.

It is not only past and current medical info that’s considered letter under HIPAA Rules, however also future info concerning medical conditions or physical and mental health related to the provision of care or payment for care. phi is health info in any kind, together with physical records, electronic records, or spoken info.

Therefore, letter includes health records, medical histories, lab check results, and medical bills. basically, all health info is considered letter once it includes individual identifiers. Demographic info is additionally thought of phi underneath HIPAA Rules, as square measure several common identifiers like patient names, Social Security numbers, Driver’s license numbers, insurance details, and birth dates, once they square measure connected with health info.

The eighteen identifiers that create health info letter are:

Names

Dates, except year

phonephone numbers

Geographic information

FAX numbers

Social Security numbers

Email addresses

case history numbers

Account numbers

Health arrange beneficiary numbers

Certificate/license numbers

Vehicle identifiers and serial numbers together with license plates

Web URLs

Device identifiers and serial numbers

net protocol addresses

Full face photos and comparable pictures

Biometric identifiers (i.e. retinal scan, fingerprints)

Any distinctive identifying variety or code

One or a lot of of those identifiers turns health info into letter, and phi HIPAA Privacy Rule restrictions can then apply that limit uses and disclosures of the data. HIPAA lined entities and their business associates will ought to guarantee applicable technical, physical, and body safeguards are enforced to make sure the confidentiality, integrity, and availability of phi as stipulated within the HIPAA Security Rule.

Windows TTL 128, Linux TTL 64, OpenBSD 255 ... https://subinsb.com/default-device-ttl-values/

Time to Live (TTL) represents to number of 'hops' a packet can take before it is considered invalid. For Windows/Windows Phone, this value is 128. This value is 64 for Linux/Android.

Spanning Tree Protocol (STP) manipulation attacks involve an attacker injecting BPDUs (Bridge Protocol Data Units) to force a switch to recognize the attacker’s system as the root bridge. Once this is achieved, the attacker can:

Redirect traffic through their own machine

Create a SPAN (Switched Port Analyzer) session to mirror traffic

Intercept, sniff, or modify data passing through the network

This is typically the next logical step in an STP attack to facilitate a Man-in-the-Middle (MITM) position.

Reference – CEH v13 Official Study Guide:

Module 8: Sniffing

Quote:

“An attacker who becomes the root bridge using STP manipulation can redirect traffic and use SPAN ports to mirror traffic to their system for analysis or manipulation.”

Incorrect Options:

B. OSPF is a Layer 3 routing protocol, not relevant here.

C. DoS is not the goal of this specific attack.

D. Attacking all switches is inefficient and unnecessary once root access is gained.

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In CEH v13 Module 06: Malware Threats, stealth viruses are covered as advanced malware that can evade detection by:

Intercepting system calls related to file access.

Masking their presence in files, memory, or on disk.

Restoring original code temporarily to fool signature-based scanners.

These capabilities allow stealth viruses to:

Avoid detection by antivirus scanners.

Operate undisturbed until triggered.

Option Clarification:

A. Cavity virus: Hides in unused file space but doesn't evade as effectively.

C. File-extension virus: Exploits deceptive file names but is often detected.

D. Macro virus: Targets office documents, not highly evasive.

Correct answer is B. Stealth virus.

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.”