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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: System Hacking | 17% | - System Hacking Methodologies
|
| Topic 2: Information Security and Ethical Hacking Overview | 6% | - Information Security Overview
|
| Topic 3: Cryptography and Post-Exploitation | 13% | - Post-Exploitation Techniques
|
| Topic 4: Sniffing and Evasion | 10% | - Social Engineering
|
| Topic 5: Reconnaissance Techniques | 21% | - Scanning Networks
|
| Topic 6: Malware Threats | 8% | - Malware Analysis and Distribution
|
| Topic 7: Wireless Network Attacks | 9% | - Wireless Network Concepts
|
| Topic 8: Mobile Platform and IoT Attacks | 7% | - IoT and OT Attacks
|
| Topic 9: Web Application Attacks | 19% | - Hacking Web Servers and Web Applications
|
| Topic 10: Enumeration | 15% | - Enumeration Concepts
|
| Topic 11: Vulnerability Analysis | 7% | - Vulnerability Assessment Concepts
|
| Topic 12: Cloud and Container Attacks | 10% | - Cloud Computing Concepts
|
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NEW QUESTION # 708
Which advanced session hijacking technique is the most difficult to detect and mitigate?
Answer: D
Explanation:
Session Replay Attacks are highlighted in CEH v13 Web Application Hacking as one of the most sophisticated and difficult-to-detect session hijacking techniques. In this attack, adversaries capture valid session tokens or encrypted session identifiers and replay them to impersonate legitimate users.
Unlike credential stuffing, which relies on login attempts and can be detected through authentication anomalies, session replay occurs after authentication, using legitimate session artifacts. Clickjacking and CSRF manipulate user interactions but do not directly hijack session tokens.
CEH v13 explains that session replay attacks are especially dangerous in environments where session tokens are predictable, long-lived, or improperly bound to client attributes such as IP address or device fingerprint.
Because the attacker reuses valid session data, traditional detection mechanisms often fail.
The replayed session appears legitimate to the server, making fraud detection extremely difficult without advanced behavioral analytics. This makes session replay attacks particularly effective in online retail environments where transactions are frequent and time-sensitive.
Thus, Option D correctly identifies the most challenging attack.
NEW QUESTION # 709
You are a security analyst at Sentinel IT Services, monitoring the web application of GreenValley Credit Union in Portland, Oregon. During a log analysis, you identify an SQL injection attempt on the customer login portal, where the attacker inputs a malicious string to manipulate the query logic. The application mitigates this by replacing special characters with their escaped equivalents to prevent query manipulation before the query is executed, ensuring the SQL statement remains unchanged. Based on the observed defense mechanism, which SQL injection countermeasure is the application employing?
Answer: B
Explanation:
The application replaces special characters like single quotes with escaped equivalents before executing the query. This prevents alteration of SQL syntax and maintains the intended query structure, which is characteristic of encoding or escaping single quotes as a defense against SQL injection.
NEW QUESTION # 710
Let's imagine three companies (A, B and C), all competing in a challenging global environment. Company A and B are working together in developing a product that will generate a major competitive advantage for them. Company A has a secure DNS server while company B has a DNS server vulnerable to spoofing. With a spoofing attack on the DNS server of company B, company C gains access to outgoing e-mails from company B. How do you prevent DNS spoofing?
Answer: B
NEW QUESTION # 711
Andrew is an Ethical Hacker who was assigned the task of discovering all the active devices hidden by a restrictive firewall in the IPv4 range in a given target network. Which of the following host discovery techniques must he use to perform the given task?
Answer: B
NEW QUESTION # 712
A security analyst conducting an authorized assessment of an online procurement platform used by manufacturing firms in Columbus, Ohio, reviews how the application processes parameters supplied through HTTP requests. While testing a product lookup parameter, he intentionally inserts special characters such as single quotes and semicolons into the input field to observe how the system responds.
In several cases, the application returns error messages containing references to specific database drivers and providers. By examining these responses, he identifies clues about the underlying platform responsible for the application ' s backend processing. The analyst uses this information to better understand the environment before attempting further testing.
Determine the information-gathering technique demonstrated in this scenario.
Answer: C
Explanation:
Determining Database Engine Type is correct because the analyst deliberately supplies database-sensitive characters and studies resulting error responses for DBMS-specific identifiers. During SQL injection reconnaissance, backend error messages can disclose database drivers, providers, SQL syntax, function names, or implementation-specific wording associated with engines such as Microsoft SQL Server, MySQL, PostgreSQL, or Oracle. Identifying the DBMS helps a tester select compatible syntax and later testing techniques. Parameter tampering refers more generally to changing request parameters to alter application behavior. Type mismatch and grouping errors are specific error-generation techniques, but the objective described here is broader: identifying the underlying database technology from those responses. CEH SQL Injection methodology emphasizes gathering information about the database before undertaking deeper enumeration or exploitation.
NEW QUESTION # 713
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