Free Practice Questions for ECCouncil 212-89 Exam

A Denial-of-Service (DoS) attack is characterized by flooding the network with a high volume of traffic to consume all available network resources, preventing intended or authorized users from accessing system, network, or applications. This type of attack aims to overwhelm the target's capacity to handle incoming requests, causing a denial of access to legitimate users. Unlike XSS (Cross-Site Scripting) attacks, URL manipulation, or SQL injection, which exploit vulnerabilities in web applications for unauthorized data access or manipulation, a DoS attack specifically targets the availability of services.

Alert Logic is a cloud-based security tool that provides Security-as-a-Service solutions including threat management, vulnerability assessment, and improved security outcomes. It is designed specifically to secure cloud resources and services, making it an ideal choice for organizations like Sam Morison Inc. that are moving their operations to the cloud and are concerned about the security of their data. Tools like Nmap, Burp Suite, and Wireshark, while valuable in certain contexts, do not offer the same cloud-focused security capabilities as Alert Logic.

The statement "Do not download or execute applications from trusted sources" is incorrect and not considered a good practice for maintaining information security and eradicating malware incidents. In contrast, downloading or executing applications from trusted sources is a fundamental security best practice. Trusted sources are vetted and are generally considered safe for downloading software, updates, and applications. This practice helps to minimize the risk of introducing malware into the organizational environment. The other options (A, B, C) represent good practices that help in reducing the likelihood of malware infections by avoiding potentially harmful actions.

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.

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.

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.

In the risk assessment process, calculating the probability that a threat source will exploit an existing system vulnerability is known as likelihood analysis. This step involves evaluating how probable it is that the organization's vulnerabilities can be exploited by potential threats, considering various factors such as the nature of the vulnerability, the presence and capability of threat actors, and the effectiveness of current controls. Elizabeth's task of assessing the probability of exploitation is crucial for understanding the risk level associated with different vulnerabilities and for prioritizing risk mitigation efforts based on the likelihood of occurrence.

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.

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.