ECCouncil EC Council Certified Incident Handler (ECIH v3) 212-89 Exam Dumps: Updated Questions & Answers (October 2025)

The described attack is a "Watering hole" attack. This type of attack targets specific groups of users by infecting websites they are known to frequently visit. The attacker first identifies websites that are popular with the target group, then finds vulnerabilities in those websites to inject malicious code. When the victims visit the compromised site, the code redirects them to other sites or automatically downloads malware onto their machines. This attack leverages the trust users have in regularly visited sites to distribute malware. Unlike obfuscation application, directory traversal, or cookie/session poisoning attacks, watering hole attacks specifically aim to compromise a commonly used and trusted website to target its users.

BrowsingHistoryView is a tool designed to collect and analyze history data from various web browsers, including Microsoft Edge. It allows users to view the browsing history stored by their browsers in one unified interface. This includes URLs visited, page titles, visit times, and the number of visits to each page. While ChromeHistoryView is specific to Google Chrome, BrowsingHistoryView supports multiple browsers, making it versatile for analyzing history data across different platforms. MZCacheView and MZHistoryView do not exist as tools recognized for this purpose in the context of Microsoft Edge or other browser history analysis.

Process memory (RAM) is a type of digital evidence that is temporarily stored and requires a constant power supply to retain information. If the power supply is interrupted, the information stored in process memory is lost. This type of evidence can include data about running programs, user actions, system events, and more, making it crucial for forensic analysis, especially in identifying actions taken by both users and malware. Collecting data from process memory helps incident responders understand the state of the system at the time of an incident and can reveal valuable information that is not persisted elsewhere on the device.

Access point monitoring is the technique that helps incident handlers to detect man-in-the-middle (MitM) attacks by continuously observing and managing the wireless access points (APs) within a network. This includes identifying unauthorized or new APs attempting to connect to the network or mimic existing APs, even if they present similar IP and MAC addresses to legitimate access points. Through access point monitoring, incident handlers can quickly identify and mitigate spoofed APs, thus preventing MitM attacks that exploit wireless networks by intercepting and manipulating communications.

Public Key Infrastructure (PKI) is a framework used to manage digital certificates and public-key encryption. It enables secure electronic transfer of information for a range of network activities such as e-commerce, internet banking, and confidential email. PKI is fundamental to the management of encryption keys and digital certificates, ensuring the secure exchange of data over networks and verification of identity.

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.

System characterization is the process of defining the boundaries of an IT system, which includes identifying the resources, information, and functionality that constitute the system. This process is crucial for understanding the scope of the system, the data it processes, and the technology it employs. By characterizing a system, incident handlers can better understand the system's normal operations and behaviors, which is essential for identifying anomalies that may indicate a security incident. System characterization involves documenting the hardware, software, network configuration, data flows, and other critical elements of the IT environment. This foundational knowledge supports effective incident handling by providing a baseline against which suspicious activities can be compared.

A side channel attack, as described in the scenario, involves an attacker using indirect methods to gather information from a system. In this case, Alice is exploiting the shared physical resources, specifically the processor cache, of a virtual machine host to steal data from another virtual machine on the same host. This type of attack does not directly breach the system through conventional means like breaking encryption but instead takes advantage of the information leaked by the physical implementation of the system, such as timing information, power consumption, electromagnetic leaks, or, as in this case, shared resource utilization, to infer the secret data.

In the context of US Federal Agencies, incidents are categorized based on their impact on operations, assets, or individuals. A DoS attack that prevents or impairs the authorized functionality of networks and is still ongoing without successful mitigation efforts typically falls under Category 2 (CAT 2). This category is designated for incidents that have a significant impact, requiring immediate reporting and response. The reporting timeframe of within 2 hours as mentioned aligns with the urgency associated with CAT 2 incidents, emphasizing the need for swift action to address the attack and restore normal operations.

Logging User IDs (D) can pose privacy concerns and may conflict with regulations such as the General Data Protection Regulation (GDPR), which emphasizes the protection of personal data and privacy. Therefore, while logging details such as Timestamps, Session IDs, and Source IP addresses are essential for security auditing to track when events occur, who is initiating sessions, and from where, care must be taken with User IDs. The handling of personally identifiable information (PII) must comply with privacy laws and organizational policies to safeguard individual privacy rights.