ECIH 212-89 Book

Behavioral analysis is a technique used to detect insider threats by analyzing the behavior of employees, both individually and in group settings, to identify any actions that deviate from the norm. This method relies on monitoring and analyzing data related to user activities, access patterns, and other behaviors that could indicate malicious intent or a potential security risk from within the organization. Behavioral analysis can detect unusual access to sensitive data, abnormal data transfer activities, and other indicators of insider threats. This approach is proactive and can help in identifying potential insider threats before they result in significant harm to the organization.

Threat correlation is a method used by incident responders to analyze and associate various indicators of compromise (IoCs) and alerts to identify genuine threats. By correlating data from multiple sources and applying intelligence to distinguish between unrelated events and coordinated attack patterns, responders can significantly reduce the rate of false-positive alerts. This enables teams to prioritize their efforts on the most critical and likely threats, thereby reducing potential risks and corporate liabilities. Effective threat correlation involves the use of sophisticated security information and event management (SIEM) systems, threat intelligence platforms, and analytical techniques to identify relationships between seemingly disparate security events and alerts.

The ECIH Email Security Incident Handling module emphasizes email header analysis as a primary method for identifying spoofed or malicious emails. One of the most critical header elements is the originating IP address, which reveals where the email actually came from.

Option D is correct because tracing the originating IP and validating it through WHOIS provided definitive evidence that the email did not originate from a legitimate organizational source. This technique allows responders to distinguish between legitimate executive communications and impersonation attempts.

Option A is reactive and unreliable. Option B provides detection context but not attribution. Option C validates domain authentication but does not always reveal spoofing when credentials are compromised.

ECIH highlights that IP tracing combined with WHOIS analysis is a powerful verification method during executive impersonation investigations, making Option D correct.

This scenario reflects inappropriate resource usage, a category of network and system misuse defined in the ECIH Network Security Incident module. Excessive outbound traffic during non-business hours combined with high CPU and memory utilization indicates unauthorized or improper use of system resources.

Option A is correct because the behavior suggests activities such as cryptomining, data exfiltration, or unauthorized processing. These activities strain system resources and often occur outside normal working hours to avoid detection.

Option B would not necessarily cause sustained resource strain. Option C focuses on physical changes. Option D relates to permission enforcement, not usage behavior.

ECIH categorizes inappropriate usage as a security incident when system resources are misused in ways that violate policy or threaten availability, making Option A correct.