Pass the ECCouncil ECIH 212-89 Questions and answers with Dumpstech

Disabling security options such as two-factor authentication (2FA) and CAPTCHA is not a countermeasure to eradicate cloud security incidents. In fact, it is contrary to best security practices. 2FA adds an additional layer of security by requiring two forms of verification before granting access to an account or system. CAPTCHA helps prevent automated attacks by ensuring that the entity accessing the service is human. Both are important security measures that protect against unauthorized access and automated attacks, thereby enhancing cloud security.

Comprehensive and Detailed Explanation (ECIH-aligned):

This scenario reflects the post-incident recovery and reporting phase outlined in the ECIH curriculum. After containment and eradication, organizations must address legal, regulatory, and investigative requirements, especially when financial fraud and executive compromise are involved.

Option A is correct because forwarding detailed incident reports to a government cybercrime agency constitutes legal escalation and investigation support. ECIH stresses the importance of cooperation with law enforcement in cases involving fraud, financial loss, or cross-border criminal activity. Proper documentation supports potential prosecution, restitution efforts, and regulatory compliance.

Options B, C, and D are technical recovery actions unrelated to legal follow-up.

By engaging authorities with verified evidence, the organization fulfills its recovery obligations beyond technical remediation, aligning with ECIH best practices.

Comprehensive and Detailed Explanation (ECIH-aligned):

The described symptoms—numerous incomplete TCP connections consuming server resources—are characteristic of a SYN flood attack, a denial-of-service technique targeting the transport layer. In such attacks, attackers send SYN packets without completing the TCP handshake, leaving servers overwhelmed with half-open connections.

ECIH network incident handling guidance emphasizes rapid identification and containment of DoS conditions to preserve service availability. By configuring the router to validate connection requests (for example, using SYN cookies or proxy validation), illegitimate handshake attempts are filtered before reaching the server.

Option A involves payload inspection, which is irrelevant here. Option B relates to authentication attacks, which require completed connections. Option D is a detection activity, not mitigation.

Therefore, the purpose of Sophia’s action was to block SYN flood attempts, making Option C correct.

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.

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.

Obfuscation is a technique used to make data or code difficult to understand. It is often employed by attackers to conceal the true intent of their code or communications, making it harder for security professionals, automated tools, and others to analyze or detect malicious activity. Obfuscation can involve the use of ambiguous or misleading language, as well as more technical methods such as encoding, encryption, or the use of nonsensical variable names in source code to hide its true functionality.

BinText is a lightweight text extraction tool that can be used to perform string search analysis within binary files. This functionality is crucial for incident handlers like Jason, who are tasked with analyzing memory dumps for malicious activity or indicators of compromise. By searching for specific strings or patterns that are known to be associated with malware, BinText helps in identifying potentially harmful actions that a program could perform, thus aiding in the investigation of malware incidents.

Comprehensive and Detailed Explanation (ECIH-aligned):

This incident is a textbook example of whaling, a specialized form of phishing that targets senior executives or impersonates them to exploit authority and trust. According to the ECIH Email Security module, whaling attacks often focus on financial fraud, such as wire transfer requests or invoice manipulation, and are designed to bypass normal controls through urgency and executive impersonation.

Option A is correct because the attacker impersonated the CEO and targeted employees responsible for financial actions. The minor domain alteration and authoritative language are classic whaling indicators.

Option B refers to overwhelming inboxes with large volumes of mail. Option C involves automated credential testing. Option D targets mobile messaging platforms.

Jason’s response—header analysis, identity verification, firewall blocking, financial alerting, and organization-wide notification—aligns with ECIH best practices for handling executive impersonation attacks. Recognizing the attack type correctly is critical for appropriate escalation and mitigation, making Option A the correct answer.

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.

Comprehensive and Detailed Explanation (ECIH-aligned):

The ECIH Forensic Readiness module defines chain of custody as a documented trail showing who collected, handled, transferred, and stored evidence. Maintaining this record is essential for legal admissibility.

Option C is correct because Liam’s actions—labeling, logging, photographing, and documenting custody transfers—directly establish and maintain chain of custody. ECIH stresses that without proper chain-of-custody documentation, evidence may be challenged or dismissed in legal proceedings.

Options A, B, and D are unrelated to evidence tracking.

Thus, Liam is demonstrating proper chain-of-custody management.