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| Section | Weight | Objectives |
|---|---|---|
| Information Security and Ethical Hacking Overview | 6% | - Ethical Hacking Overview
|
| Cloud and Container Attacks | 10% | - Cloud Attacks and Security
|
| Malware Threats | 8% | - Malware and Its Types
|
| Mobile Platform and IoT Attacks | 7% | - Mobile Platform Attack Vectors
|
| Reconnaissance Techniques | 21% | - Footprinting and Reconnaissance
|
| Vulnerability Analysis | 7% | - Vulnerability Assessment Concepts
|
| Cryptography and Post-Exploitation | 13% | - Cryptography Concepts
|
| Sniffing and Evasion | 10% | - Social Engineering
|
| Wireless Network Attacks | 9% | - Wireless Network Concepts
|
| Web Application Attacks | 19% | - Hacking Web Servers and Web Applications
|
| Enumeration | 15% | - Enumeration Process
|
| System Hacking | 17% | - System Hacking Methodologies
|
>> Valid 312-50v13 Test Topics <<
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NEW QUESTION # 675
During a penetration test at Cascade Financial in Seattle, ethical hacker Elena Vasquez probes the input handling of the company's web server. She discovers that a single crafted request is processed as two separate ones, allowing her to inject malicious data into the server's communication. This type of attack falls into the same category of input validation flaws as cross-site scripting (XSS), cross-site request forgery (CSRF), and SQL injection.
Which type of web server attack is Elena most likely demonstrating?
Answer: B
Explanation:
The correct answer is A. HTTP Response Splitting Attack because the scenario describes a flaw where one crafted request is interpreted in a way that causes the server (or an intermediary) to treat it as two separate HTTP messages, enabling the attacker to inject malicious data into the HTTP response stream. This is a classic input validation and header injection issue, typically involving the insertion of carriage return and line feed (CRLF) characters (\r\n) into user-controlled input that is later placed into HTTP headers (for example, in redirects, cookies, or custom headers). By injecting CRLF sequences, an attacker can "split" the server's response: the first part completes a legitimate response header section, and the injected content begins a second, attacker-controlled response.
This aligns with the prompt's emphasis that "a single crafted request is processed as two separate ones," which is the fundamental mechanic of response splitting-turning one transaction into multiple interpreted HTTP entities. Once response splitting is possible, attackers may set or manipulate headers (such as Set- Cookie), inject arbitrary content, perform cross-user defacement, facilitate cache poisoning, or enable more effective delivery of client-side attacks by making browsers or proxies store and serve malicious content.
The question also frames it alongside XSS, CSRF, and SQL injection as "input validation flaws." That matches response splitting's root cause: insufficient sanitization/validation of untrusted input before including it in HTTP headers or responses.
Why the other options are incorrect: Password cracking is unrelated to HTTP parsing and input validation.
Directory traversal abuses path handling to access files (e.g., ../) and does not involve splitting HTTP messages. Web cache poisoning can be a consequence of response splitting, but the described behavior- splitting a single request/response into two-most directly identifies HTTP response splitting as the demonstrated attack.
NEW QUESTION # 676
An attacker performs DNS cache snooping using the dig command with the +norecurse flag against a known DNS server. The server returns NOERROR but provides no answer to the query. What does this most likely suggest?
Answer: A
Explanation:
According to the Certified Ethical Hacker (CEH) Reconnaissance and Footprinting module, DNS cache snooping is a passive information-gathering technique used to determine whether a specific DNS record exists in a server's cache. Attackers commonly use the dig +norecurse option to prevent the DNS server from querying other DNS servers, thereby revealing only cached results.
When a DNS server responds with NOERROR but does not return an answer, it indicates that the domain name itself is valid, but the requested record is not present in the DNS cache. CEH documentation explains that this situation usually occurs when no internal client has recently queried that domain, so the DNS server has no cached entry for it.
Option A is incorrect because a cached record would return a valid answer section.
Option B is incorrect because NOERROR explicitly means the DNS query was processed successfully.
Option D is incorrect because an expired or non-existent domain would typically return NXDOMAIN, not NOERROR.
CEH materials highlight that attackers use DNS cache snooping to infer user behavior, internal browsing habits, and potential target systems within an organization-making option C the correct conclusion.
NEW QUESTION # 677
Josh has finished scanning a network and has discovered multiple vulnerable services. He knows that several of these usually have protections against external sources but are frequently susceptible to internal users. He decides to draft an email, spoof the sender as the internal IT team, and attach a malicious file disguised as a financial spreadsheet. Before Josh sends the email, he decides to investigate other methods of getting the file onto the system. For this particular attempt, what was the last stage of the cyber kill chain that Josh performed?
Answer: C
NEW QUESTION # 678
Which of the following statements is TRUE?
Answer: B
Explanation:
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
NEW QUESTION # 679
Lewis, a professional hacker, targeted the IoT cameras and devices used by a target venture-capital firm. He used an information-gathering tool to collect information about the IoT devices connected to a network, open ports and services, and the attack surface area. Using this tool, he also generated statistical reports on broad usage patterns and trends. This tool helped Lewis continually monitor every reachable server and device on the Internet, further allowing him to exploit these devices in the network. Which of the following tools was employed by Lewis in the above scenario?
Answer: D
Explanation:
Censys is a powerful Internet-wide scanning tool that allows users to:
Discover and analyze devices and services exposed to the public internet Enumerate connected IoT devices, open ports, software versions Provide structured and searchable reports for vulnerability analysis According to CEH v13:
Censys continuously scans the IPv4 address space and maintains up-to-date databases of connected devices and their metadata.
Incorrect Options:
B). Wapiti is a web application vulnerability scanner.
C). NeuVector is a container security solution.
D). Lacework is a cloud workload protection platform, not focused on IoT enumeration.
Reference - CEH v13 Official Courseware:
Module 18: IoT and OT Hacking
Section: "IoT Discovery Tools"
Tool Focus: Censys, Shodan
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NEW QUESTION # 680
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