CompTIA CS0-002 - CompTIA CySA+ Certification Exam (CS0-002)

A vulnerability scan is a process of identifying and assessing known vulnerabilities in a system or network using automated tools or software1 A vulnerability scan can help improve the security posture of a vulnerability management program by detecting and prioritizing potential weaknesses that could be exploited by attackers. To increase the security posture of a vulnerability scan, the following actions can be taken:

Expand the ports being scanned to include all ports: This means scanning all possible ports on a system or network, not just the well-known or commonly used ones. This can help discover more vulnerabilities that may be hidden or overlooked on less frequently used ports.

Increase the scan interval to a number the business will accept without causing service interruption: This means scanning more frequently or regularly, but not so often that it causes performance issues or downtime for the system or network. This can help keep up with new vulnerabilities that may emerge over time and reduce the window of opportunity for attackers.

Enable authentication and perform credentialed scans: This means using login credentials or SSH keys on an asset to get deeper access to its data, processes, configurations, and vulnerabilities2 This can help discover more vulnerabilities that cannot be seen from the network, such as insecure versions of software or poor security permissions.

According to the CompTIA CySA+ (CS0-002) best practices, the most useful information data points to provide to the security manager for communicating the risk factors to senior management are the impact and adversary capability. The impact refers to the potential consequences of a successful attack or exploitation of a vulnerability, such as data loss or system compromise. The adversary capability refers to the ability of an attacker to exploit a vulnerability, including their technical expertise and resources. Together, these data points help to provide a complete picture of the risk associated with a vulnerability, and allow senior management to make informed decisions regarding risk mitigation and remediation. The other data points, such as probability, attack vector, classification, and indicators of compromise, can also be valuable, but the impact and adversary capability are considered the most critical for prioritizing risk mitigation efforts.

An example of API is google weather app, using the weather channel's API to collect accurate weather data and broadcast it on goggle weather app, so google doesn't have to do it their selves

API stands for application programming interface, which is a set of rules and protocols that allows different software applications or components to communicate and exchange data. Using an API would be the best way to acquire data from a cloud-based vulnerability assessment solution for both the configuration management database and the governance risk and compliance tool, because it would allow automated and standardized data transfer between different systems. CSV export, SOAR, or machine learning are not methods of data acquisition, but rather formats or tools that can be used for data analysis or processing. Reference: https://www.redhat.com/en/topics/api/what-are-application-programming-interfaces

Resource exhaustion occurs when a system runs out of resources such as memory, CPU, disk space, or network bandwidth due to excessive demand or poor management1. In this case, the server statistics show that the CPU usage is 100%, the memory usage is 99%, and the disk usage is 98%, indicating that the system is suffering from resource exhaustion. This can affect the performance and availability of the system and its applications. A race condition (A) is a condition where the system’s behavior depends on the sequence or timing of other uncontrollable events2. Privilege escalation (B) is a situation where an attacker gains unauthorized access to higher privileges or permissions on a system3. VM escape (D) is a technique where an attacker breaks out of a virtual machine and interacts with the host operating system.

References: 1: https://www.techopedia.com/definition/31686/resource-exhaustion  2: https://en.wikipedia.org/wiki/Race_condition  3: https://www.techopedia.com/definition/4111/privilege-escalation : https://www.techopedia.com/definition/32088/vm-escape

Data masking is a technique that replaces sensitive data with fictitious but realistic data, thus preventing unauthorized access to the original data. Reencrypting the data sets using AES-256 would provide a stronger level of encryption than Triple DES, which has been deprecated by NIST due to its vulnerability to attacks12

References: 1 What Is AES-256 Encryption? How Does It Work? - MUO 2 Archived NIST Technical Series Publication

Encapsulated traffic may evade security monitoring and defenses by hiding or obfuscating the actual content or source of the traffic. Encapsulation is a technique that wraps data packets with additional headers or protocols to enable communication across different network types or layers. Encapsulation can be used for legitimate purposes, such as tunneling, VPNs, or NAT, but it can also be used by attackers to bypass security controls or detection mechanisms that are not able to inspect or analyze the encapsulated traffic .

The analyst should check if temporary files are being monitored first to respond to the issue. Temporary files are files that are created and used by applications for various purposes, such as storing data temporarily or caching data for faster access. However, temporary files are not meant to be permanent and are usually deleted when they are no longer needed or when the application is closed. Therefore, monitoring temporary files can generate many alerts from the file-integrity monitoring tool that are not relevant or useful for security purposes. The analyst should check if temporary files are being monitored and exclude them from the monitoring scope to reduce the number of alerts and focus on the files that should not change.

Lime-based cookies are a type of cookies that use lime encoding to store data in a web browser. Lime encoding is a simple substitution cipher that replaces each character in a string with another character based on a fixed key. Lime-based cookies are easy to decode because the key is publicly available and the encoding algorithm is simple. Anyone who intercepts or accesses the lime-based cookies can easily decode them and read the data stored in them. This is a security concern because lime-based cookies are often used for session management, which means they store information about the user’s identity and preferences on a web application. If an attacker can decode the lime-based cookies, they can impersonate the user or access their sensitive information.