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

Splunk is a powerful tool for log analysis, capable of collecting, analyzing, and visualizing data from various sources in real time. For an incident handler like Drake, intending to detect traces of malicious activities within the network infrastructure, Splunk can efficiently parse large volumes of log data, enabling the identification of patterns and anomalies that may indicate malware propagation or other security incidents. Its real-time analysis capabilities make it an ideal tool for monitoring network activities and responding to incidents promptly.

By classifying and encrypting customer Personally Identifiable Information (PHI), you are specifically guarding against the risk of Sensitive Data Exposure. This OWASP security risk involves the accidental or unlawful exposure of protected data to unauthorized individuals. Encryption serves as a critical defense mechanism by ensuring that, even if data is accessed without authorization, it remains unintelligible and useless to the attacker without the decryption keys. Data classification further supports this by identifying which data is sensitive and requires such protections, ensuring that appropriate security controls are applied to prevent exposure.

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.

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.

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.

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.

In the context of information security, the Incident Manager (IM) plays a crucial role in handling incidents from both a management and technical perspective. The Incident Manager is responsible for overseeing the entire incident response process, coordinating with relevant stakeholders, ensuring that incidents are analyzed, contained, and eradicated efficiently, and that recovery processes are initiated promptly. They are pivotal in ensuring communication flows smoothly between technical teams and upper management and that all actions taken are aligned with the organization's broader security policies and objectives. Unlike network administrators, threat researchers, or forensic investigators who may play more specialized roles within the incident response process, the Incident Manager has a broad oversight role that encompasses both technical and managerial aspects to ensure a comprehensive and coordinated response to security incidents.

Leaving sensitive business details over voicemail or sending them out through email broadcast messages is not a best practice for security. This approach significantly increases the risk of information leakage and unauthorized access to critical business information. Such practices can be exploited by insiders to conduct malicious activities, including data theft, fraud, or sabotage. The best practices for mitigating insider threats involve implementing strict access controls, monitoring and auditing employee actions, securing communications, and ensuring that sensitive information is only shared through secure and authorized channels. Encouraging or allowing the practice of leaving sensitive business details in such insecure manners contradicts the principles of information security and increases the vulnerability to insider attacks.

The Microsoft Baseline Security Analyzer (MBSA) is a tool designed to assess a computer or network's security state by checking for missing security updates and common security misconfigurations. In the scenario with Finn, who is working in the eradication phase of an incident response process, the use of MBSA makes sense. The tool's ability to detect missing security patches and recommend the installation of the latest patches is crucial for eliminating vulnerabilities in the Windows operating system that could be the root cause of the incident.

MBSA scans the system for missing security updates, misconfigurations, and other vulnerabilities and provides detailed reports and recommendations for remediation. This step is vital in the eradication phase, where the goal is to remove the root causes of the incident and secure the system against future attacks. By ensuring that all necessary patches are applied, Finn is addressing any security gaps that could be exploited by attackers.

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.