Practice Free 212-89 EC Council Certified Incident Handler (ECIH v3) Exam Questions Answers With Explanation

Forensic readiness refers to an organization's ability to maximize its capability to use digital evidence effectively in an investigation, while minimizing the cost of an investigation and disruption to its operations. It involves having policies, procedures, and technologies in place to collect, preserve, and analyze digital evidence efficiently, so when an incident occurs, the organization is prepared to handle it quickly and with minimal costs. Forensic readiness not only helps in reducing the time and resources spent on investigations but also ensures that the evidence is reliable and can be used in legal proceedings if necessary.

The vulnerability exploited by Clark through tampering with form and parameter values to gain unauthorized access to information assets is indicative of Broken Access Control. Broken Access Control vulnerabilities occur when a web application does not properly enforce restrictions on what authenticated users are allowed to do. Attackers can exploit these vulnerabilities to access unauthorized functionality or data, such as accessing other users' accounts, viewing sensitive files, and modifying other users’ data.

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.

The correct flow of stages in an Incident Handling and Response (IH&R) process as outlined in the Incident Handler (ECIH v3) by EC-Council begins with Preparation. This phase involves getting ready for potential incidents by developing plans, policies, and procedures, and ensuring that tools and team training are up to date. Incident Recording is the next stage, where incidents are documented and reported. Incident Triage follows, prioritizing incidents based on their impact and urgency. Containment is next, aiming to limit the damage of the incident and prevent further spread. Eradication comes after containment, where the root cause of the incident is removed. Recovery is the stage where affected systems are restored to their operational status. Post-Incident Activities conclude the process, reviewing and learning from the incident to improve future response efforts.

The first step in securing an employee's account following an email hacking incident involves restoring access to the email services if necessary and immediately changing the password to prevent unauthorized access. This action ensures that the attacker is locked out of the account as quickly as possible. While enabling two-factor authentication, scanning links and attachments, and disabling automatic file sharing are important security measures, they come into play after ensuring that the compromised account is first secured by changing its password to halt any ongoing unauthorized access.

In the scenario described, Dickson is performing an active assessment. This type of vulnerability assessment involves using automated tools to actively scan and probe the network for identifying hosts, services, and vulnerabilities. Unlike passive assessments, which rely on monitoring network traffic without direct interaction with the targets, active assessments engage directly with the network infrastructure to discover vulnerabilities, misconfigurations, and other security issues by sending data to systems and analyzing the responses. This approach provides a more immediate and detailed view of the security posture but can also generate detectable traffic that might be noticed by defensive systems or affect the performance of live systems.

If a hacker influences an employee or a disgruntled staff member to gain access to an organization's resources or sensitive information, this is classified as an insider attack. Insider attacks are perpetrated by individuals within the organization, such as employees, contractors, or business associates, who have inside information concerning the organization's security practices, data, and computer systems. The threat from insiders can be intentional, as in the case of a disgruntled employee seeking to harm the organization, or unintentional, where an employee is manipulated or coerced by external parties without realizing the implications of their actions. Phishing attacks, footprinting, and identity theft represent different types of cybersecurity threats where the attacker's method or objective differs from that of insider attacks.

Reducing the success rate of SQL injection attacks is focused on minimizing vulnerabilities within the application's database interactions, rather than the broader server or network services. SQL injection prevention techniques typically involve input validation, parameterized queries, and the use of stored procedures, rather than changes to the network or server configuration.

A) Closing unnecessary application services and ports on the server is a general security best practice to reduce the attack surface but does not directly impact the success rate of SQL injection attacks. This action limits access to potential vulnerabilities across the network and server but doesn't address the specific ways SQL injection exploits input handling within web applications.

B) Automatically locking a user account after a predefined number of invalid login attempts within a predefined interval can help mitigate brute force attacks but has no direct effect on preventing SQL injection, which exploits code vulnerabilities to manipulate database queries.

C) Constraining legitimate characters to exclude special characters and D) Limiting the length of the input field are both direct methods to reduce the risk of SQL injection. They focus on controlling user input, which is the vector through which SQL injection attacks are launched. By restricting special characters that could be used in SQL commands and limiting input lengths, an application can reduce the potential for malicious input to form a part of SQL queries executed by the backend database.

During the incident handling and response (IH&R) process, the stage of "Evidence gathering and forensics analysis" involves the collection of evidence, forensic analysis, and detailed investigation to uncover the root cause of the incident. This stage is crucial for understanding how the incident occurred, identifying the threat actors involved, the methods they used (threat vectors), and the extent of the impact. By analyzing evidence, incident responders can reconstruct the sequence of events, identify the vulnerabilities exploited, and determine the scope of the incident. This information is vital for resolving the incident effectively and taking steps to prevent future occurrences.

Generation-based fuzz testing is a strategy where new test data is generated from scratch based on a predefined model that specifies the structure, type, and format of the input data. This approach is systematic and relies on a deep understanding of the format and protocol of the input data to create test cases that are both valid and potentially revealing of vulnerabilities. This contrasts with mutation-based fuzz testing, where existing data samples are modified (mutated) to produce new test cases, and log-based and protocol-based fuzz testing, which use different approaches to test software robustness and security.

The port scanning technique that involves resetting the TCP connection between the client and server abruptly before the completion of the three-way handshake, thereby leaving the connection half-open, is known as a Stealth scan (also referred to as a SYN scan). This technique allows the scanner to inquire about the status of a port without establishing a full TCP connection, making the scan less detectible to intrusion detection systems and less likely to be logged by the target. It's a method used to discreetly discover open ports on a target machine without establishing a full connection that would be visible in logs.

In the scenario where your company sells Software as a Service (SaaS) and is hosted on the cloud using it as a Platform as a Service (PaaS), your company is responsible for eradicating malware in your customer's database. This is because, as the SaaS provider, your company manages the software and is responsible for its security and maintenance, including the databases that store customer data. While the PaaS provider is responsible for the underlying infrastructure, platform, and possibly some middleware security aspects, the application layer security, including data and application management, falls to the SaaS provider. Building management would not be involved in digital security matters, and while customers are responsible for their data, the actual software maintenance and security in a SaaS model are the provider's responsibility.

The data preprocessing step performed by Johnson, where he analyzes user activities within a certain time period to create time-ordered domain sequences for further analysis on sequential patterns, is known as user-specific sessionization. This process involves aggregating all user activities and requests into discrete sessions based on the individual user, allowing for a coherent analysis of user behavior over time. This is critical for identifying patterns that may indicate a watering hole attack, where attackers compromise a site frequently visited by the target group to distribute malware. User-specific sessionization helps in isolating and examining sequences of actions taken by users, making it easier to detect anomalies or patterns indicative of such an attack.

In the risk assessment process, "System characterization" is the initial step where the scope of the assessment is defined. This involves identifying and documenting the boundaries of the IT systems under review, the resources (hardware, software, data, and personnel) that constitute these systems, and any relevant information about their operation and environment. This foundational step is essential for understanding what needs to be protected and forms the basis for subsequent analysis, including identifying vulnerabilities, assessing potential threats, and determining the impact of risks to the organization.

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.

In the context of incident handling and response (IH&R), the preparation phase is the initial step where teams and resources are organized to effectively respond to potential security incidents. This phase involves building the IH&R team, developing incident response plans and policies, setting up communication channels, and ensuring that the team has the necessary tools and authority to act. James, being assigned to build an IH&R plan and organize his team, is engaging in the preparation step of the incident response process. This foundational step is crucial for ensuring a coordinated and efficient response to incidents when they occur.

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.

The DBCC LOG command is used in SQL Server environments to analyze the transaction log files of a database. It provides insights into the transactions that have occurred, which is crucial for forensic analysis in the event of an incident. The syntaxDBCC LOG(<database_name>, <output_level>)allows an incident handler to specify the level of detail they wish to retrieve from the log files. When an incident handler like Adam requires the full information on each operation along with the hex dump of the current transaction row, the output parameter should be set to 4. This level of output is the most verbose, providing comprehensive details about each transaction, including a hex dump which is essential for a deep forensic analysis. It helps in understanding the exact changes made by transactions, which can be pivotal in investigating incidents involving data manipulation or other unauthorized database activities.

Incapsula is a cloud-based application delivery platform that offers a comprehensive security solution, including protection against Distributed Denial of Service (DDoS) attacks. By providing DDoS mitigation services, Incapsula helps protect websites and online services from being overwhelmed by traffic intended to make the resource unavailable to its intended users. The platform filters out malicious traffic and allows legitimate traffic through, thus ensuring that the organization's online resources remain available even under attack.

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.

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.

Anti-forensics refers to techniques used to hinder the forensic analysis of a computer system. By hiding files in slack space, changing file headers, embedding suspicious files in executables, and altering metadata, BadGuy Bob is attempting to make it difficult for forensic analysts to find, analyze, and attribute the malicious activities and data on his laptop. These actions are designed to conceal evidence, manipulate digital artifacts, and obstruct investigations, making them clear examples of anti-forensic techniques. While such actions could be part of broader criminal activities, constituting a felony, and could be seen as adversarial mechanics or legal hostility in specific contexts, the most accurate classification of these techniques is anti-forensics.

A Denial of Service (DoS) attack aims to make a computer resource, network, or application unavailable to its intended users, thereby preventing legitimate users from using the service. This is achieved by overwhelming the target with a flood of internet traffic or sending information that triggers a crash. In contrast, fraud and theft involve the unauthorized acquisition of data or assets, unauthorized access refers to gaining entry into systems without permission, and malicious code or insider threat attacks relate to software designed to cause harm or unauthorized actions by trusted users within the organization. The specific intent of a DoS attack is to disrupt service, making it a distinct category focused on denial of availability.

According to the National Institute of Standards and Technology (NIST), which is a primary source for cloud computing standards and guidelines, the five main actors in cloud computing are Consumer, Provider, Carrier, Auditor, and Broker. These roles are defined as follows:

Consumer: The person or organization that uses cloud computing services.

Provider: The entity that provides the cloud services to consumers.

Carrier: The organization that offers connectivity and transport services to cloud providers and consumers.

Auditor: An independent party that assesses and verifies the cloud services, security controls, and operations.

Broker: An entity that manages the use, performance, and delivery of cloud services, and negotiates relationships between cloud providers and consumers.

These actors play critical roles in the ecosystem of cloud computing, ensuring the services are delivered and used securely, efficiently, and effectively.

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.

For memory dump analysis, tools like Scylla and OllyDumpEx are more suited. These tools are designed to analyze and extract information from memory dumps, which can be crucial for understanding the state of a system at the time of an incident. Scylla is used for reconstructing imports in dumped binaries, while OllyDumpEx is an OllyDbg plugin used for dumping process memory. Both tools are valuable for incident handlers like Rinni who are performing memory dump analysis to uncover evidence or understand the behavior of malicious software.

In the scenario described, Stanley's effort to present evidence in a clear and comprehensible manner to the members of a jury, with the intention of clarifying facts and aiding in obtaining expert opinion, aligns with the characteristic of admissibility. The admissibility of digital evidence pertains to its acceptability in a court of law, which hinges on the evidence being collected, handled, and presented in a manner that complies with legal standards and procedures. This includes ensuring the evidence is relevant, reliable, and not overly prejudicial. By preparing to present the evidence in a way that the jury can understand and use to confirm the investigation process, Stanley is focusing on ensuring that the evidence meets the criteria for admissibility in the legal proceedings. Completeness, believability, and authenticity are also important characteristics of digital evidence, but the context provided indicates that Stanley's primary focus is on meeting the legal requirements for the evidence to be considered valid in court.

URL encoding, also known as percent-encoding, is a mechanism for encoding information in a Uniform Resource Identifier (URI) under certain circumstances. This technique involves replacing unsafe ASCII characters with a "%" followed by two hexadecimal digits that represent the character's ASCII code. This is necessary for embedding characters that are not allowed in URLs directly, such as spaces and symbols, or characters that have special meanings within URLs, ensuring that the URL is correctly interpreted by web browsers and servers.

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.

Nation-state attribution involves identifying a specific country or government as the sponsor behind a cyber-attack or intrusion. This type of threat attribution is focused on determining the involvement of state actors in cyber operations against specific targets, which often involves sophisticated, well-planned, and executed cyber campaigns. Alexis's efforts to identify and attribute the actors behind the attack to a specific nation-state fall under this category, as she seeks to uncover the geopolitical motives and the extent of state sponsorship behind the incident. Nation-state attribution requires analyzing a variety of indicators, including technical evidence, tactics, techniques, and procedures (TTPs), and contextual intelligence. This is distinct from campaign attribution, which focuses on linking attacks to a specific campaign or operation, true attribution, which aims at identifying the actual individuals behind an attack, and intrusion set attribution, which involves attributing a set of malicious activities to a particular threat actor or group.

Live data acquisition is the process of collecting volatile data from a system that is still running. Volatile data includes information stored in system memory (RAM), cache, and system and network configuration settings that are lost when the system is powered off. This method is essential for capturing data that can provide insights into the state of the system at the time of an incident, including active network connections, running processes, and the contents of memory. Marley must employ live data acquisition to ensure that this crucial and ephemeral data is not lost, which can be pivotal in understanding and responding to the incident effectively.

In Wireshark, the filtericmp.type==8is used to detect ping sweep attempts. ICMP type 8 messages are echo requests, which are used in ping operations to check the availability of a network device. A ping sweep involves sending ICMP echo requests to multiple addresses to discover active devices on a network. By filtering for ICMP type 8 messages in Wireshark, Bran can identify these echo requests, helping to pinpoint ping sweep activities on the network.

MxToolbox is an online tool that provides various network diagnostics and email security checks, including looking up DNS and MX records, SPF records, and more. It can be used by incident handlers to prevent the organization against evolving email threats by analyzing domain health, checking blacklists, verifying email delivery issues, and more. While Email Header Analyzer is useful for analyzing specific emails for traces of phishing or spoofing, G Suite Toolbox might be specific to Google's services, and Gpg4win is more focused on email encryption. MxToolbox provides a broader set of functionalities for monitoring and troubleshooting email delivery issues and security threats, making it a versatile tool for incident handlers.

In the scenario described, Stanley aims to ensure that the digital evidence he collected is admissible in court. This means the evidence must be gathered, handled, and presented in a manner that complies with legal standards, ensuring it can be legally used in a trial. Admissibility is a crucial characteristic of digital evidence, as it must be relevant, authentic, and obtained without violating any laws or rights to privacy. The evidence must also be presented in a clear and comprehensible manner to be understood by the members of the jury, which further supports its admissibility in court.

Incident triage is the phase in the incident handling and response process where identified security incidents are analyzed, validated, categorized, and prioritized. This step is critical for determining the severity of incidents and deciding on the allocation of resources for effective response. It involves initial analysis to understand the nature of the incident, its impact, and urgency, which guides the subsequent response actions.

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.

Incident triage is the stage in the incident response process where the incident handler, like Mike, performs an initial assessment of the reported incident to determine its validity, severity, and potential impact. This includes analyzing the incident to verify if it is a genuine threat or a false positive. The purpose of incident triage is to prioritize incidents based on their criticality and ensure that resources are allocated effectively to address the most serious threats first. This stage is crucial for efficient incident management, as it helps in filtering out false alarms and focusing on real security incidents that require immediate attention.

The term that describes the combination of strategies and services intended to restore data, applications, and other resources to the public cloud or dedicated service providers is "Cloud recovery." This term encompasses disaster recovery efforts focused on ensuring that an organization's digital assets can be quickly and effectively restored or moved to cloud environments in the event of data loss, system failure, or a disaster. Cloud recovery strategies are part of a broader disaster recovery and business continuity planning, ensuring minimal downtime and data loss by leveraging cloud computing's scalability and flexibility. Mitigation, analysis, and eradication are terms associated with other aspects of incident response and risk management, not specifically with the restoration of resources to cloud environments.

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.

In the context of incident handling, the "point of contact" list is essential for ensuring that Sheila, the incident handler working at night, can quickly notify the responsible personnel within the organization about the cyberattack. This list typically includes the contact information of key stakeholders and decision-makers who need to be informed about security incidents, allowing for timely communication, decision-making, and response coordination.

In the context of using Wireshark, a popular network protocol analyzer, to detect ping sweep attempts on a network, the filtericmp.type==8is used. ICMP (Internet Control Message Protocol) is utilized for sending error messages and operational information indicating, for example, that a requested service is not available or that a host or router could not be reached. ICMP type 8 messages are echo requests, which are used by the ping command to test the reachability of a host on an IP network. A ping sweep consists of ICMP echo requests sent to multiple hosts to find which ones are alive. By applying theicmp.type==8filter in Wireshark, Bran can isolate and examine the echo request messages, helping to identify ping sweep attempts, which are characterized by a high volume of ICMP echo requests over a broad range of IP addresses in a short period.

MxToolbox is a comprehensive tool designed for analyzing email headers and diagnosing various email delivery issues. When Francis received a spoofed email asking for his bank information, using MxToolbox to analyze the email headers would be appropriate. This tool helps in examining the source of the email, tracking the email's path across the internet from the sender to the receiver, and identifying any signs of email spoofing or malicious activity. It provides detailed information about the email servers encountered along the way and can help in verifying the authenticity of the email sender. Other options like EventLog Analyzer, Email Checker, and PoliteMail are tools used for different purposes such as analyzing system event logs, checking email address validity, and managing email communications, respectively, and do not specifically focus on analyzing email headers to the extent required for investigating a spoofed email incident.

A TCP Xmas scan is a type of network scanning technique used by attackers to identify open ports on a target machine. The name "Xmas" comes from the set of flags that are turned on within the packet, making it 'lit up like a Christmas tree'. Specifically, the FIN, PSH, and URG flags are set, which corresponds to the hexadecimal value 0X029 in the TCP header's flags field. Wireshark, a popular network protocol analyzer, allows users to create custom filters to detect specific types of network traffic, including malicious scanning attempts. By using the filtertcp.flags==0X029, Rose can detect packets that have these specific flags set, indicating a potential TCP Xmas scan attempt.

The scenario described fits the characteristics of an Advanced Persistent Threat (APT) attack. APTs are sophisticated, stealthy, and continuous computer hacking processes often orchestrated by groups targeting a specific entity. These attackers penetrate the network through vulnerabilities, maintain access without detection, and achieve their objectives, such as data exfiltration or financial theft, over an extended period. The fact that attackers exploited a minor vulnerability, maintained access for six months, and performed lateral movements to access critical systems for fraudulent transactions highlights the strategic planning and persistence typical of APT attacks.

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.

Netstat (network statistics) is a command-line tool that displays network connections (both incoming and outgoing), routing tables, and a number of network interface (and network protocol) statistics. It is considered a volatile evidence collecting tool because it gathers information that exists in the system's memory, which is lost upon shutdown or reboot. This makes it invaluable for collecting evidence of active connections and processes that are present at the time of the incident response but does not persistently store data that can be recovered later. This contrasts with tools like FTK Imager or ProDiscover Forensics, which are used for acquiring digital evidence in a non-volatile manner, such as disk imaging, and HashTool, which is used for validating the integrity of collected digital evidence through hashing.