Eccouncil 212-89 Dumps - Pass EC-Council Certified Incident Handler v3 Exam in 2026

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.

When a corporate network's servers are sending huge amounts of traffic to a specific website, as detected by the network's Intrusion Prevention System (IPS), this behavior is indicative of a Botnet attack. A Botnet is a network of compromised computers, often referred to as 'bots,' that are controlled remotely by an attacker, typically without the knowledge of the owners of the computers. The attacker can command these bots to execute distributed denial-of-service (DDoS) attacks, send spam, or conduct other malicious activities. In this scenario, the servers behaving as bots and targeting a website with large volumes of traffic suggests that they have been co-opted into a Botnet to potentially perform a DDoS attack on the website abc.xyz.

Volatile memory contains critical artifacts such as encryption keys, running processes, and network connections. The ECIH Forensic Readiness module emphasizes that volatile evidence must be captured immediately before it is lost.

Option C is correct because capturing memory first preserves irreplaceable evidence, followed by securing the scene to prevent contamination. Powering down systems before memory capture would destroy volatile data.

Options A and D are incomplete without prioritization. Option B is incorrect due to evidence loss.

Thus, immediate memory capture followed by scene security is the correct action.

In Wireshark, to identify ICMP ping sweep attempts, the filtericmp.type == 8 or icmp.type ==0is used. This filter captures ICMP echo requests and echo replies, which are indicative of ping commands. Type 8 represents an echo request used when a source sends a ping, and type 0 represents an echo reply, which is the response from the target. By filtering for these ICMP types, Miko can detect a surge in ping requests across the network, which could indicate a ping sweep attempt---an exploratory activity often used by attackers to discover active hosts on a network by sending ping requests to multiple addresses.

Incident triage is the phase in the Incident Handling and Response (IH&R) process where identified security incidents are analyzed, validated, categorized, and prioritized. This step is crucial for determining the severity of incidents and deciding on the order in which they should be addressed. During triage, incident handlers assess the impact, urgency, and potential harm of an incident to prioritize their response efforts effectively. This ensures that resources are allocated efficiently, and the most critical incidents are handled first. Incident recording and assignment involve logging incidents and assigning them to handlers, containment focuses on limiting the extent of damage, and notification involves informing stakeholders about the incident.