Pass the CompTIA CompTIA CASP CAS-005 Questions and answers with CertsForce

The best location to test a newly released feature for an internal application, without affecting the production environment, is the staging environment. Here’s a detailed explanation:

Staging Environment: This environment closely mirrors the production environment in terms of hardware, software, configurations, and settings. It serves as a final testing ground beforedeploying changes to production. Testing in the staging environment ensures that the new feature will behave as expected in the actual production setup.

Isolation fromProduction: The staging environment is isolated from production, which means any issues arising from the new feature will not impact the live users or the integrity of the production data. This aligns with best practices in change management and risk mitigation.

Realistic Testing: Since the staging environment replicates the production environment, it provides realistic testing conditions. This helps in identifying potential issues that might not be apparent in a development or testing environment, which often have different configurations and workloads.

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.

For SSDs,incinerationis considered the most secure method of physical destruction, ensuring no data remanence. SSDs store data differently compared to traditional spinning disks, making degaussing ineffective. Overwriting and formatting may not reliably erase all storage cells due to wear-leveling technologies. Shredding may work if the granularity is extremely fine, but incineration guarantees complete destruction beyond recovery.

To meet the requirements of only allowing internally signed applications, preventing unauthorized software installations, and logging attempts to run unauthorized software, configuring application control with blocked hashes and enterprise-trusted root certificates is the best solution. This approach ensures that only applications signed by trusted certificates are allowed to execute, while all other attempts are blocked and logged. It effectively prevents unauthorized software installations by restrictingexecution to pre-approved applications.

Animmutable databasepreventsmodifications or deletions, ensuring resilience against ransomware while maintaining multiple copies of data.

The scenario describes a sophisticated attack where the threat actor used steganography within LDAP to exfiltrate data. Given that thehardware and OS firmware were validated and found uncompromised, the attack vector likely exploited a network communication channel. To mitigate such risks, enforcing allow lists for authorized network ports and protocols is the most effective strategy.

Here’s why this option is optimal:

Port and Protocol Restrictions: By creating an allow list, the organization can restrict communications to only those ports and protocols that are necessary for legitimate business operations. This reduces the attack surface by preventing unauthorized or unusual traffic.

Network Segmentation: Enforcing such rules helps in segmenting the network and ensuring that only approved communications occur, which is critical in preventing data exfiltration methods like steganography.

Preventing Unauthorized Access: Allow lists ensure that only predefined, trusted connections are allowed, blocking potential paths that attackers could use to infiltrate or exfiltrate data.

Other options, while beneficial in different contexts, are not directly addressing the network communication threat:

B. Measuring and attesting to the entire boot chain: While this improves system integrity, it doesn’t directly mitigate the risk of data exfiltration through network channels.

C. Rolling thecryptographic keys used for hardware security modules: This is useful for securing data and communications but doesn’t directly address the specific method of exfiltration described.

D. Using code signing to verify the source of OS updates: Ensures updates are from legitimate sources, but it doesn’t mitigate the risk of network-based data exfiltration.

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.

Understanding the Security Event:

Administrator accounts are highly privilegedand require strict monitoring.

Server 4 shows failed login attempts for the administrator account.This could indicate abrute-force attack or unauthorized access attempt.

The fact thatnone of the admin login attempts were successfulsuggestssomeone was trying to guess the credentials.

Why Option D isCorrect:

Failed logins for administrator accounts are a critical security concern.

If an attacker gains access, they couldescalate privileges and compromise the network.

Investigatingunauthorized admin login attemptsshould be thetop priorityin a log audit.

Why Other Options Are Incorrect:

A (Endpoint not submitting logs):While this is concerning, it does not indicate anactive attack.

B (Lateral movement):There's no evidence of a compromised account moving between servers yet.

C (Misconfigured syslog server):False negatives are a possibility, but thefailed admin loginsare real.

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.

Step-by-Step Explanation:

Privacy regulations (C), such as GDPR (General Data Protection Regulation) and CCPA (California Consumer Privacy Act), require companies to provide data subject access request (DSAR) handling processes. A DSAR allows individuals to request details about their personal data stored by a company and request modifications or deletions.

Information security standards (A) focus on overall security controls, while e-discovery requirements (B) relate to legal investigations rather than ongoing compliance.