CAS-005 Exam Dumps - CompTIA SecurityX Certification Exam

Tokenizationreplaces sensitive data (e.g., PII) with non-sensitive placeholders while maintaining format consistency, ensuring compliancewithout disrupting testing. This method is commonly used forPCI-DSS and GDPR compliancewhile preserving data structure for functional tests.

Encryption (A)secures data but does not remove sensitivity or solve testing concerns.

Truncation (B)removes portions of data but may impact testing if format requirements are strict.

Synthetic data (C)can be useful but may not always match real-world scenarios perfectly for testing purposes.

The logs show the device checking in from two distant locations (USA and Qatar) at nearly the same time, which indicatesimpossible travel— a strong indicator that either the device has been cloned, compromised, or credentials stolen. The best immediate action is todisable the device's account and accessto prevent potential misuse while an investigation is conducted. Malicious application installation or resource issues are possible but secondary concerns here compared to account compromise.

The correct answer is Playbooks (A). In incident response, playbooks are structured workflows that define step-by-step actions for specific incident types (e.g., ransomware, phishing, insider threats). They allow SOC analysts to standardize responses across multiple platforms and tools, ensuring consistency and faster mitigation. By leveraging playbooks, organizations integrate existing incident response tools into automated or semi-automated processes, improving efficiency and reducing human error.

Option B (event collectors) consolidate logs but do not directly improve response processes. Option C (centralized logging) enhances visibility but does not provide a framework for action. Option D (endpoint detection) expands detection capabilities but does not enhance the process effectiveness of incident response.

CAS-005 emphasizes structured response through automation and orchestration. Playbooks, often implemented via SOAR platforms, allow integration of detection, triage, and remediation steps, making them the most effective way to increase incident response maturity.

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.

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.

The provided code snippet shows a script that captures the user's cookies and sends them to a remote server. This type of attack is characteristic of Cross-Site Scripting (XSS), specifically stored XSS, where the malicious script is stored on the target server (e.g., in a database) and executed in the context of users who visit the infected web page.

A. XSRF (Cross-Site Request Forgery) attack: This involves tricking the user into performing actions on a different site without their knowledge but does not involve stealing cookies via script injection.

B. Command injection: This involves executing arbitrary commands on the host operating system, which is not relevant to the given JavaScript code.

C. Stored XSS: The provided code snippet matches the pattern of a stored XSS attack, where the script is injected into a web page, and when users visit the page, the script executes and sends theuser's cookies to the attacker's server.

D. SQL injection: This involves injecting malicious SQL queries into the database and is unrelated to the given JavaScript code.

In the context of establishing a Security Operations Center (SOC) with a threat-modeling function, it's crucial to understand how data flows within the organization's systems. Network and data flow diagrams provide a visual representation of the system's architecture, illustrating how data moves between components, which is essential for identifying potential security weaknesses and antipatterns. Antipatterns are common responses to recurring problems that are ineffective and risk-inducing. By analyzing these diagrams, the consultant can pinpoint areas where security controls may be lacking or misconfigured, thereby facilitating the development of effective threat models.​

While other options like unpatchable IoT devices (Option B) and inventories of cloud resources (Option E) are important for comprehensive security assessments, they are more pertinent during later stages, such as vulnerability management and asset inventory. The initial phase of threat modeling focuses on understanding the system's structure and data flows to identify potential threats, making network and data flow diagrams the most critical information at this stage.​

The strings utility extracts human-readable text from binary files. Security analysts use it to identify Indicators of Compromise (IoCs) such as URLs, IP addresses, filenames, and commands embedded in the malware.

Option A (reconstructing timeline) would require event logs or forensic timeline tools.

Option C (replicating the attack) involves execution in a sandbox, not static string extraction.