ECCouncil Updated 212-89 Exam Questions and Answers by dalton

User Behavior Analytics (UBA) is a cybersecurity process or tool that utilizes machine learning, algorithms, and statistical analyses to detect potentially harmful activities within an organization's network by comparing them against established patterns of users' behavior. It is particularly effective in identifying malicious internal actors or compromised users who may be conducting activities that deviate from their normal behavior patterns, such as accessing unauthorized data or systems, excessive file downloads, or unusual login times. UBA tools can flag these activities for further investigation, often before traditional security tools detect a breach. In contrast, SOC2 compliance reports, log forwarding, and syslog configuration are important for maintaining and auditing security standards and for infrastructure monitoring, but they are not primarily focused on detecting malicious behavior based on deviations from established user behavior patterns.References:The Incident Handler (ECIH v3) curriculum discusses various tools and methodologies for detecting and responding to security incidents, highlighting User Behavior Analytics as a key tool for identifying insider threats and compromised accounts through behavioral monitoring and analysis.

Restoring web application services with the help of existing backups, as performed by Robert, falls under the Recovery stage of the Incident Handling and Response (IH&R) process. The Recovery stage involves actions taken to return the organization to normal operations after an incident, which includes restoring systems to their operational state using backups, patching vulnerabilities, and ensuring that all systems are clean and secure before being brought back online. This step is crucial for resuming business operations and mitigating the impact of the incident.

The Volatility framework is a widely used tool for analyzing volatile memory (RAM) dumps. It is especially useful in digital forensics and malware analysis. One of the fundamental tasks in memory analysis is to list the processes that were running on the system at the time the memory dump was taken. Thepslistcommand in the Volatility framework serves this purpose by listing all processes from the process list in memory, which can provide valuable insights into what was happening on the system, including the presence of any malicious processes.

The syntax provided in the answer option corresponds to the usage of thepslistcommand with the Volatility tool, specifying the memory dump file to be analyzed (-f /root/Desktop/memdump.mem) and the profile of the system from which the dump was taken (--profile=Win2008SP1x86). This information is crucial for accurate analysis, as the profile helps Volatility interpret the memory structures correctly.

References:The use of thepslistcommand within the Volatility framework for the purpose of analyzing running processes from a memory dump is documented in the official Volatility documentation and is a fundamental technique in the field of memory forensics as part of incident response activities.

Shally has incorporated the Defense-in-depth strategy into the incident response plan for Texas Pvt. Ltd. Defense-in-depth is a layered security approach that involves implementing multiple security measures and controls throughout an information system. This strategy is designed to provide several defensive barriers to protect against threats and attacks, ensuring that if one layer is compromised, others still provide protection. The goal is to create a multi-faceted defense that addresses potential vulnerabilities in various areas, including physical security, network security, application security, and user education.References:The Incident Handler (ECIH v3) courses and study guides often emphasize the importance of a Defense-in-depth strategy in creating robust security infrastructures to protect against a wide range of cyber threats.