CAS-005 Exam Dumps - CompTIA SecurityX Certification Exam

The correct regulation is COPPA (Children’s Online Privacy Protection Act). COPPA is a U.S. law that requires organizations to obtain parental consent and implement specific protections before collecting personal data from children under the age of 13. Since the legal counsel is advising about age-related sign-up requirements, the concern clearly points to COPPA compliance.

GDPR (A) is a European regulation governing privacy and data protection but is broader and not specifically tied to children’s age verification, though it has related provisions. LGPD (B) is Brazil’s data protection law, similar in scope to GDPR. PCI DSS (C) is focused on protecting cardholder data in payment environments, unrelated to age-related concerns.

CAS-005 covers the importance of aligning software platforms with legal and regulatory frameworks. For gaming and online services, COPPA compliance is crucial to avoid fines and reputational harm, ensuring the platform properly handles children’s data.

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Collecting a large pool of behavioral observations requires handling vast datasets, which is the domain ofBig Data. Big Data technologies enable the storage, processing, and analysis of large-scale data (e.g., user behavior logs) to inform decisions, a key capability in security analytics.

Option A:Linear regression is a statistical method for modeling relationships, not collecting data.

Option B:Distributed consensus relates to agreement in distributed systems (e.g., blockchain), not data collection.

Option C:Big Data directly supports collecting and analyzing large datasets for insights, fitting the question perfectly.

Option D:Machine learning uses data to train models but relies on data being collected first, often via Big Data.

The “cipher unavailable” message indicates that the client and server could not agree on a common cipher suite. After the OpenSSL update, the server likely dropped support for older, insecure ciphers (such as RC4 or 3DES) that legacy clients still use. The safest remediation is to update or configure the client applications to support modern, secure ciphers such as AES in Galois/Counter Mode (AES-GCM) or an equivalent strong cipher suite that is supported by the updated OpenSSL server.

Option A (SSL 3.0) is unsafe because SSL 3.0 is deprecated and vulnerable to multiple attacks (e.g., POODLE).

Option C (ECB mode) is insecure due to pattern leakage and should never be enforced.

Option D (ECC signatures) relates to key exchange and signatures, not to the “cipher unavailable” issue directly.

This approach aligns with SecurityX CAS-005 cryptographic interoperability guidance—modernize clients rather than reintroduce insecure protocols.

In the given scenario, the security engineer is likely examining login activities and their associated geolocations. This type of analysis is aimed at identifying unusual login patterns that might indicate an impossible travel scenario. An impossible travel scenario is when a single user account logs in from geographically distant locations in a short time, which is physically impossible. By assessing login activities using geolocation, the engineer can tune alerts to identify and respond to potential security breaches more effectively.

The best solution to address reported vulnerabilities in third-party libraries is integrating a Static Application Security Testing (SAST) tool as part of the development pipeline. Here’s why:

Early Detection: SAST tools analyze source code for vulnerabilities before the code is compiled. This allows developers to identify and fix security issues early in the development process.

Continuous Security: By integrating SAST tools into the CI/CD pipeline, the organization ensures continuous security assessment of the codebase, including third-party libraries, with each code commit and build.

Comprehensive Analysis: SAST tools provide a detailed analysis of the code, identifying potential vulnerabilities in both proprietary code and third-party dependencies, ensuring that known issues in libraries are addressed promptly.

Step-by-Step Explanation:

Runtime Application Self-Protection (RASP) (A)monitors and protects applications in real time by detecting and blocking attacks as they occur. Unlike traditional security solutions, RASP is integrated into the application itself, meaning it works regardless of the programming language used. It effectively mitigates common vulnerabilities such as SQL injection, XSS, and buffer overflows.

Dynamic Application Security Testing (DAST) (C) is a passive scanning approach that may not prevent attacks in real-time, while Network Intrusion PreventionSystems (NIPS) (D) focuses on network traffic, not application-layer security.

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.