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EC-COUNCIL 312-49v11 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Data Acquisition and Duplication: This domain addresses live and dead acquisition techniques, eDiscovery methodologies, data acquisition formats, validation procedures, write protection, and forensic image preparation for examination.
Topic 2
  • Understanding Hard Disks and File Systems: This domain covers storage media characteristics, disk logical structures, operating system boot processes (Windows, Linux, macOS), file systems analysis, encoding standards, and examination of common file formats.
Topic 3
  • IoT Forensics: This domain addresses IoT device investigation including architecture, OWASP IoT threats, forensic processes, wearable and smart device analysis, hardware-level techniques (JTAG, chip-off), and drone data extraction.
Topic 4
  • Cloud Forensics: This domain covers cloud platform forensics (AWS, Azure, Google Cloud) including data storage, logging, forensic acquisition of virtual machines, and investigation of cloud security incidents.
Topic 5
  • Linux and Mac Forensics: This domain addresses forensic methodologies for Linux and macOS systems including data collection, memory forensics, log analysis, APFS examination, and platform-specific investigation tools.
Topic 6
  • Investigating Web Attacks: This domain covers web application forensics including IIS and Apache log analysis, OWASP Top 10 risks, and investigation of attacks like XSS, SQL injection, path traversal, command injection, and brute-force attempts.
Topic 7
  • Mobile Forensics: This domain covers Android and iOS forensics including device architecture, forensics processes, cellular data investigation, file system acquisition, lock bypassing, rooting
  • jailbreaking, and mobile application analysis.

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EC-COUNCIL Computer Hacking Forensic Investigator (CHFI-v11) Sample Questions (Q283-Q288):

NEW QUESTION # 283
A company's network experiences a sudden slowdown, prompting suspicion of a cyberattack. Network administrators utilize log analysis tools to scrutinize traffic patterns and pinpoint anomalies, aiding in the detection of a distributed denial-of-service (DDoS) attack. In the described scenario, what is the primary purpose of using network log analysis tools?

Answer: C

Explanation:
According to the CHFI v11 curriculum underNetwork ForensicsandAnalyzing Network Attacks, the primary purpose of usingnetwork log analysis toolsduring a suspectedDistributed Denial-of-Service (DDoS) attackis toidentify the source and nature of the attack traffic. DDoS attacks overwhelm network resources by flooding them with a massive volume of malicious traffic originating from multiple compromised systems.
By analyzing firewall logs, IDS/IPS logs, router logs, and server access logs, investigators can detect abnormal traffic patterns such as unusually high connection rates, repeated requests from multiple IP addresses, malformed packets, or protocol misuse. These indicators help forensic investigatorstrace the origin of attack traffic, identify botnet behavior, determine attack vectors (e.g., SYN flood, UDP flood, HTTP flood), and assess the scope and impact of the attack.
Option A refers to long-term security improvements, which may result from the investigation but are not the immediate goal. Option C focuses on performance tuning rather than forensic detection. Option D is unrelated to incident response or attack investigation.
The CHFI v11 Exam Blueprint emphasizeslog analysis for detecting DoS and DDoS attacks, including identifying malicious traffic sources and correlating events across network devices. Therefore, the correct and exam-aligned purpose of network log analysis in this scenario isidentifying the source of the cyberattack


NEW QUESTION # 284
Following a suspected malware incident at a retail chain in Los Angeles, forensic investigators observe performance degradation on a compromised server alongside indicators suggesting unauthorized external communications. To substantiate the presence of malicious activity affecting the system, what evidence should investigators examine first to corroborate an active compromise?

Answer: B

Explanation:
Abnormal network traffic flows are strong evidence of an active compromise because malware often communicates with external command-and-control servers, exfiltrates data, or downloads additional payloads. Examining network traffic first helps corroborate unauthorized external communication linked to malicious activity.


NEW QUESTION # 285
Simona has written a regular expression for the detection of web application-specific attack attempt that reads as /((\%3C)|<K(\%2F)|V)*[a-zO-9\%I*((\%3E)|>)/lx.
Which of the following does the part (|\%3E)|>) look for?

Answer: D


NEW QUESTION # 286
Which of the following applications will allow a forensic investigator to track the user login sessions and user transactions that have occurred on an MS SQL Server?

Answer: C


NEW QUESTION # 287
During a burst of database errors and high time-taken values at a media site in San Diego, California, users report in-browser pop-ups tied to URL-appended input. Investigators pivot to the Apache access logs and need the field that exposes the exact request line so they can compare the payload content against those spikes. What Apache log directive captures the method, path with query string, and protocol in the combined and common log formats?

Answer: A

Explanation:
The correct answer is A because Apache uses the %r directive to log the full request line exactly as sent by the client. Apache's official logging documentation explains that the request line includes the method, the requested resource, and the protocol version, which is precisely what investigators need when reviewing suspicious URL-appended input. In practical forensic terms, this field helps analysts compare the attacker's submitted payload with corresponding spikes in application errors or timing anomalies. %{Referer}i records the HTTP Referer header, %h logs the client host, and %u records the authenticated remote user, so none of those captures the full request line. CHFI v11 includes Apache access and error logs, web-application attack investigation, and analysis of log evidence, so recognizing what each directive represents is directly within scope. When the objective is to recover the exact request syntax used in a possible injection or cross-site scripting attempt, the request-line directive is the most valuable field. Therefore, the correct Apache log directive is %r.


NEW QUESTION # 288
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