CompTIA Updated CAS-005 Exam Questions and Answers by romie

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.

References:

CompTIA Security+ SY0-601 Study Guide by Mike Chapple and David Seidl

OWASP Top Ten: Web Application Security Risks

NIST Special Publication 800-95: Guide to Secure Web Services

Investing in a threat intelligence platform is the best option for a company looking to operationalize research output. A threat intelligence platform helps in collecting, processing, and analyzing threat data to provide actionable insights. These platforms integrate data from various sources, including dark web monitoring, honeypots, and other security tools, to offer a comprehensive view of the threat landscape.

Why a Threat Intelligence Platform?

Data Integration: It consolidates data from multiple sources, including dark web monitoring and honeypots, making it easier to analyze and derive actionable insights.

Actionable Insights: Provides real-time alerts and reports on potential threats, helping the organization take proactive measures.

Operational Efficiency: Streamlines the process of threat detection and response, allowing the security team to focus on critical issues.

Research and Development: Facilitates the operationalization of research output by providing a platform for continuous monitoring and analysis of emerging threats.

Other options, while valuable, do not offer the same level of integration and operationalization capabilities:

A. Dark web monitoring: Useful for specific threat intelligence but lacks comprehensive operationalization.

C. Honeypots: Effective for detecting and analyzing specific attack vectors but not for broader threat intelligence.

D. Continuous adversary emulation: Important for testing defenses but not for integrating and operationalizing threat intelligence.

References:

CompTIA SecurityX Study Guide

"Threat Intelligence Platforms," Gartner Research

NIST Special Publication 800-150, "Guide to Cyber Threat Information Sharing"

When the cost to mitigate certain risks is higher than the asset values, the best approach is to purchase insurance. This method allows the company to transfer the risk to an insurance provider, ensuring that financial losses are covered in the event of an incident. This approach is cost-effective and ensures that risks are prioritized appropriately without overspending on mitigation efforts.

References:

CompTIA SecurityX Study Guide: Discusses risk management strategies, including risk transfer through insurance.

NIST Risk Management Framework (RMF): Highlights the use of insurance as a risk mitigation strategy.

"Information Security Risk Assessment Toolkit" by Mark Talabis and Jason Martin: Covers risk management practices, including the benefits of purchasing insurance.

The user-agent string can provide valuable information to distinguish between legitimate and bot-related traffic. It contains details about the browser, device, and sometimes the operating system of the client making the request.

Why Use User-Agent String?

Identify Patterns: User-agent strings can help identify patterns that are typical of bots or legitimate users.

Block Malicious Bots: Many bots use known user-agent strings, and identifying these can help block malicious requests.

Anomalies Detection: Anomalous user-agent strings can indicate spoofing attempts or malicious activity.

Other options provide useful information but may not be as effective for initial determination of the nature of the request:

B. Byte length of the request: This can indicate anomalies but does not provide detailed information about the client.

C. Web application headers: While useful, they may not provide enough distinction between legitimate and bot traffic.

D. HTML encoding field: This is not typically used for identifying the nature of the request.

References:

CompTIA SecurityX Study Guide

"User-Agent Analysis for Security," OWASP

NIST Special Publication 800-94, "Guide to Intrusion Detection and Prevention Systems (IDPS)"