ECCouncil 212-89 - EC Council Certified Incident Handler (ECIH v3)

Email-bombing refers to the attack where the attacker sends a massive volume of emails to a specific email address or mail server in order to overflow the mailbox or overwhelm the server, potentially causing it to fail or deny service to legitimate users. This attack can disrupt communications and, in some cases, lead to the targeted email account being disabled. Masquerading involves pretending to be another legitimate user, spoofing is the creation of emails (or other communications) with a forged sender address, and a smurf attack is a specific type of Distributed Denial of Service (DDoS) attack that exploits Internet Protocol (IP) and Internet Control Message Protocol (ICMP) to flood a target with traffic. Email-bombing specifically targets email services with the goal of causing disruption by overflowing inboxes.

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.

The Sarbanes–Oxley Act (SOX) Title V, titled "Analyst Conflicts of Interest," contains measures specifically designed to restore investor confidence in the reporting of securities analysts. It addresses the issue of potential conflicts of interest for securities analysts who recommend stocks and other securities by requiring disclosure of certain relationships and financial interests between analysts and the companies they cover. This part of the SOX Act aims to ensure that investors receive unbiased and accurate information from analysts, thereby helping to restore trust in financial markets. Title V consists of only one section, making it unique compared to other titles within the Act that may encompass multiple sections or provisions.

Omnipeek is a network analyzer tool that allows for the capture and analysis of data packets transmitted across a network. It is designed to provide deep insights into network traffic, enabling users to examine various aspects of the data packets, including network protocols, ports, devices, and potential issues in network transmission. This tool would be ideal for Chandler, who is targeting the Technote organization with the intent of intercepting and analyzing network traffic to obtain sensitive organizational information. Omnipeek's capabilities in packet analysis make it suitable for such activities, offering detailed visibility into the network's operation and data flows.

The Slowloris attack is a type of application-layer attack that targets the web server by establishing and maintaining many simultaneous HTTP connections to the target server. Unlike traditional network-layer DoS/DDoS attacks such as UDP flood or SYN flood, Slowloris is designed to hold as many connections to the target web server open for as long as possible. It does so by sending partial requests, which are never completed, and periodically sending subsequent HTTP headers to keep the connections open. This consumes the server's resources, leading to denial of service as legitimate users cannot establish connections. The Slowloris attack is effective even against servers with a high bandwidth because it targets the server's connection pool, not its network bandwidth.

A Trojan attack involves a type of malicious code or software that appears legitimate but can take control of your computer. Trojans often disguise themselves as legitimate software or are hidden within legitimate software that has been tampered with. They differ from viruses and worms because they do not replicate. However, once activated, Trojans can enable cyber-criminals to spy on you, steal your sensitive data, and gain backdoor access to your system. This can include unauthorized actions such as deleting files, monitoring user activities, or installing additional malicious software.

Anti-forensics techniques are designed to prevent, mislead, or interfere with the incident handling process, affecting the collection, preservation, and identification phases of the forensic investigation process. These techniques include methods to erase, encrypt, or alter information, make data recovery difficult, hide data (e.g., steganography), or otherwise obstruct forensic analysis and investigation efforts. Anti-forensics can significantly challenge the efforts of incident responders and forensic investigators in establishing the facts of a security incident or crime.

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.

An active assessment involves using automated tools to scan and probe the network actively to identify hosts, services, and vulnerabilities. This type of assessment directly interacts with the network components to gather information about the existing security posture, unlike passive assessments, which analyze traffic without sending packets to the target systems. Dickson's approach, employing automated tools to identify the network's hosts, services, and vulnerabilities, fits the definition of an active assessment. This method provides a more immediate understanding of the network's vulnerabilities, allowing for timely remediation actions.

Fragmentation is a technique used by attackers to evade detection by Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS). By breaking down packets into smaller fragments, attackers can make it more difficult for these security systems to detect malicious payloads or signature-based patterns associated with known attacks. This method exploits the fact that some IDS/IPS solutions may not properly reassemble packet fragments for analysis, thereby allowing malicious fragments to pass through undetected.