CAS-005 Dumps with Practice Exam Questions Answers

A centralized Software Bill of Materials (SBoM) is the best solution for identifying vulnerabilities in container images in aprivate repository. An SBoM provides a comprehensive inventory of all components, dependencies, and their versions within a container image, facilitating quick evaluation and response to vulnerabilities.

Why Centralized SBoM?

Comprehensive Inventory: An SBoM lists all software components, including their versions and dependencies, allowing for thorough vulnerability assessments.

Quick Identification: Centralizing SBoM data enables rapid identification of affected containers when a vulnerability is disclosed.

Automation: SBoMs can be integrated into automated tools for continuous monitoring and alerting of vulnerabilities.

Regulatory Compliance: Helps in meeting compliance requirements by providing a clear and auditable record of all software components used.

Other options, while useful, do not provide the same level of comprehensive and efficient vulnerability management:

A. SAST scan reports: Focuses on static analysis of code but may not cover all components in container images.

C. CIS benchmark compliance reports: Ensures compliance with security benchmarks but does not provide detailed component inventory.

D. Credentialed vulnerability scan: Useful for in-depth scans but may not be as efficient for quick vulnerability evaluation.

Creatingsecure baseline imagesensuresconsistent, repeatabledeployment aligned with hardening standards. These images can be used acrosson-premises and cloud environments, ensuring compliance and reducing misconfigurations.

Vulnerability alerts (A)are reactive, not preventive.

Building images from scratch (C)is time-consuming and unnecessary if baselines exist.

Scripts for cleanup (D)are useful but do not prevent initial insecure configurations.

To improve the quality of code scanning results and reduce false positives, the best solution is to limit the tool to a specific coding language and fine-tune the rule set. By configuring the code scanning tool to focus on the specific language used in the application, the tool can more accurately identify relevant issues and reduce the number of false positives. Additionally, tuning the rule set ensures that the tool ' s checks are appropriate for the application ' s context, further improving the accuracy ofthe scan results.

Malware that does not execute in a sandbox environment often contains anti-analysis techniques, such as anti-virtualization code. This code detects when the malware is running in a virtualized environment and alters its behavior to avoid detection. Checking for anti-virtualization code is a logical next step because:

It helps determine if the malware is designed to evade analysis tools.

Identifying such code can provide insights into themalware ' s behavior and intent.

This step can also inform further analysis methods, such as running the malware on physical hardware.

The logs show that the user connected fromToronto (104.18.16.29)andLos Angeles (95.67.137.12)within minutes. The sudden location change is a typical trigger forgeoblocking in a Next-Generation Firewall (NGFW), leading to theHR System being denied.

A compromised account (B)would show failed login attempts or unusual activities, but all other access attempts were allowed.

Business hours restriction (C)is unlikely since the user was granted access earlier.

Approved subnet issues (D)would affect all applications, not just HR System access.