CAS-005 Exam Dumps - CompTIA CASP Questions and Answers

To improve the vulnerability management process in an environment where new devices/IPs are added and dropped regularly, the company should perform regular discovery scanning throughout the IT landscape using the vulnerability management tool. Here’s why:

Accurate Asset Inventory: Regular discovery scans help maintain an up-to-date inventory of all assets, ensuring that the vulnerability management process includes all relevant devices and IPs.

Consistency in Reporting: By continuously discovering and scanning new and existing assets, the company can generate consistent and comprehensive vulnerability reports that reflect the current state of the network.

Proactive Management: Regular scans enable the organization to proactively identify and address vulnerabilities on new and existing assets, reducing the window of exposure to potential threats.

The correct snippet is Option A, which shows an Ansible YAML playbook designed to deploy and maintain security software on Linux servers. Ansible is a configuration management tool widely used in enterprise environments, and the ansible.builtin.apt module specifically manages package installation on Debian/Ubuntu-based Linux distributions. This ensures consistent security software deployment across multiple servers.

Option B is XML-based and does not represent a valid configuration management script. Option C incorrectly uses JSON format and references Microsoft’s store (com.microsoft.store.latest), which is irrelevant for Linux. Option D also uses JSON syntax with “AppX,” which applies to Windows applications, not Linux.

CAS-005 emphasizes infrastructure as code (IaC) and automation as best practices for secure system configuration. YAML-based playbooks in Ansible provide repeatability, auditability, and scalability, making Option A the most secure and appropriate solution.

The best description of the cyber threat to a central bank implementing strict risk mitigations for the hardware supply chain, including an allow list for specific countries of origin, is the risk of physical implants and tampering. Here’s why:

Supply Chain Security: The supply chain is a critical vector for hardware tampering and physical implants, which can compromise the integrity and security of hardware components before they reach the organization.

Targeted Attacks: Banks and financial institutions are high-value targets, making them susceptible to sophisticated attacks, including those involving physical implants that can be introduced during manufacturing or shipping processes.

Strict Mitigations: Implementing an allow list for specific countries aims to mitigate the risk of supply chain attacks by limiting the sources of hardware. However, the primary concern remains the introduction of malicious components through tampering.

Static Application Security Testing (SAST) involves analyzing source code or compiled code for security vulnerabilities without executing the program. This method is well-suited for identifying syntax errors, coding standards violations, and potential security issues early in the development lifecycle.

A. Static application security testing (SAST): SAST tools analyze the source code to detect syntax errors, vulnerabilities, and other issues before the code is run. This is the most relevant task for the DevSecOps team to identify syntax errors and improve code quality.

B. Software composition analysis: This focuses on identifying vulnerabilities in open-source components and libraries used in the application but does not address syntax errors directly.

C. Runtime application self-protection (RASP): RASP involves monitoring and protecting applications during runtime, which does not help in identifying syntax errors during the development phase.

D. Web application vulnerability scanning: This involves scanning the running application for vulnerabilities but does not address syntax errors in the code.

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The table highlights that tampering threats (IDs 02 and 03) are rated Critical, making them the most significant risks. These threats involve malicious insiders inserting backdoors or attackers injecting malicious code into third-party libraries. To mitigate such risks, organizations must implement a secure software development lifecycle (SDLC) with formalized code scanning, gate checks, and supply chain validation.

Option C directly addresses these issues. Secure development practices include static/dynamic code analysis, dependency checks, peer reviews, and mandatory approvals before code promotion. This approach detects backdoors, prevents unauthorized modifications, and reduces the likelihood of compromised libraries being integrated.

Option A (PAM with conditional access) mitigates privilege escalation but does not address software tampering. Option B (rate limiting and federation) reduces brute-force authentication risks (ID 05) but not critical tampering. Option D (Zero Trust with microsegmentation) strengthens network defense but does not secure the integrity of source code or libraries.

Therefore, a secure SDLC with gate checks and code scanning is the best mitigation for the most critical threats identified.

ChaCha20-Poly1305is a cipher suite specifically designed for efficiency on systems with limited hardware resources. It offers high security with lower memory and CPU consumption compared to AES on certain platforms, especially mobile devices. TLS 1.3 supports ChaCha20-Poly1305 natively. CBC (Cipher Block Chaining) modes like IDEA-CBC and Camellia-CBC are less efficient and not recommended under TLS 1.3, and AES-GCM, while secure, can be less efficient than ChaCha20 on devices without AES hardware acceleration.

In the context of improving incident response and reducing dwell time, the security analyst needs to focus on proactive measures that can quickly detect and alert on potential security breaches. Here’s a detailed analysis of the options provided:

A. Adjusting the SIEM to alert on attempts to visit phishing sites: While this is a useful measure to prevent phishing attacks, it primarily addresses external threats and doesn’t directly impact dwell time reduction, which focuses on the time a threat remains undetected within a network.

B. Allowing TRACE method traffic to enable better log correlation: The TRACE method in HTTP is used for debugging purposes, but enabling it can introduce security vulnerabilities. It’s not typically recommended for enhancing security monitoring or incident response.

C. Enabling alerting on all suspicious administrator behavior: This option directly targets the potential misuse of administrator accounts, which are often high-value targets for attackers. By monitoring and alerting on suspicious activities from admin accounts, the organization can quickly identify and respond to potential breaches, thereby reducing dwell time significantly. Suspicious behavior could include unusual login times, access to sensitive data not usually accessed by the admin, or any deviation from normal behavior patterns. This proactive monitoring is crucial for quick detection and response, aligning well with best practices in incident response.

D. Utilizing allow lists on the WAF for all users using GET methods: This measure is aimed at restricting access based on allowed lists, which can be effective in preventing unauthorized access but doesn’t specifically address the need for quick detection and response to internal threats.

The Common Vulnerability Scoring System (CVSS) v3.1 uses three metric groups to calculate overall scores:Base,Temporal, andEnvironmental.

Base (E):Mandatory metrics assessing exploitability (e.g., attack vector) and impact (confidentiality, integrity, availability).

Temporal (A):Optional metrics reflecting the current state of the vulnerability (e.g., exploit availability, remediation level).

Environmental (F):Optional metrics tailoring the score to the organization’s context (e.g., security requirements).

B, C, D (Availability, Integrity, Confidentiality):These are subcomponents of the Base Impact metrics, not standalone groups.

G (Impact):A categorywithin Base, not a group.

H (Attack vector):A single Base metric, not a group.

The best way to prevent application-focused attacks for a platform-as-a-service solution with a web-based front end is to create Web Application Firewall (WAF) policies for relevant programming languages. Here ' s why:

Application-Focused Attack Prevention: WAFs are designed to protect web applications by filtering and monitoring HTTP traffic between a web application and the Internet. They help prevent attacks such as SQL injection, cross-site scripting (XSS), and other application-layer attacks.

Customizable Rules: WAF policies can be tailored to the specific programming languages and frameworks used by the web application, providing targeted protection based on known vulnerabilities and attack patterns.

Real-Time Protection: WAFs provide real-time protection, blocking malicious requests before they reach the application, thereby enhancing the security posture of the platform.