CAS-005 Exam Dumps - CompTIA SecurityX Certification Exam

OWIN23 is running Windows 7, which is a legacy operating system. Many EDR solutions no longer provide full support for outdated operating systems like Windows 7, which has reached its end of life and is no longer receiving security updates from Microsoft. This makes such systems more vulnerable to infections and attacks, including remote access Trojans (RATs).

A. OWIN23 uses a legacy version of Windows that is not supported by the EDR: This is the most probable cause because the lack of support means that the EDR solution may not fully protect or monitor this system, making it an easy target for infections.

B. LN002 was not supported by the EDR solution and propagates the RAT: While LN002 is unmanaged, it is less likely to propagate the RAT to OWIN23 directly without an established vector.

C. The EDR has an unknown vulnerability that was exploited by the attacker: This is possible but less likely than the lack of support for an outdated OS.

D. OWIN29 spreads the malware through other hosts in the network: While this could happen, the status indicates OWIN29 is in a bypass mode, which might limit its interactions but does not directly explain the infection on OWIN23.

ChaCha20-Poly1305is a cipher suite specifically designed for efficiency on systems with limited hardware resources. It offers high security with lower memory and CPU consumption compared to AES on certain platforms, especially mobile devices. TLS 1.3 supports ChaCha20-Poly1305 natively. CBC (Cipher Block Chaining) modes like IDEA-CBC and Camellia-CBC are less efficient and not recommended under TLS 1.3, and AES-GCM, while secure, can be less efficient than ChaCha20 on devices without AES hardware acceleration.

Forward secrecy (also known as perfect forward secrecy, PFS) ensures that session keys used in a VPN tunnel are ephemeral, meaning that even if an attacker compromises a long-term private key, past sessions cannot be decrypted. According to the CompTIA SecurityX CAS-005 study guide (Domain 3: Cybersecurity Technology, 3.1), enabling forward secrecy on VPN tunnels reduces the risk of cryptanalysis by ensuring that each session’s encryption key is unique and not derived from a single compromised key. This directly mitigates the impact of attacks like key theft or future decryption attempts.

Option A:Forward secrecy is not required for hardware-accelerated cryptography, which depends on processor capabilities, not key management.

Option C:While confidentiality is important, this is too vague and does not specifically explain why forward secrecy is chosen.

Option D:Modern protocols (e.g., TLS 1.3, IPsec with ECDHE) support forward secrecy but donot mandate it as a prerequisite for use.

Option B:This is the most precise, as forward secrecy directly reduces the success of cryptanalysis by limiting the scope of key compromise.

To minimize downtime, testing should occur in a virtual lab, not production. The best approach is to test solutions methodically: implement one solution at a time, run an attack simulation, collect metrics, roll back, and repeat. This isolates each solution’s effectiveness, ensuring accurate metrics for decision-making without production impact.

Option A:Testing all solutions simultaneously muddies the results—metrics won’t show which solution worked.

Option B:Collecting metrics before the simulation misses the point of testing against the attack.

Option C:Correct—tests each solution independently with simulation and metrics, minimizing downtime via virtual lab use.

Option D:Like A, combining solutions obscures individual effectiveness.

Enriching data to compare domains requires actionable visibility. Let’s analyze:

A. Cron job:Automates updates but doesn’t analyze in the SIEM.

B. Parser:Processes logs but doesn’t provide comparison insights.

C. Filter query:Excludes matches, opposite of enrichment.

User and Entity Behavior Analytics (UEBA) is the best solution to help the company overcome challenges associated with suspicious activity that cannot be categorized by traditional detection tools. UEBA uses advanced analytics to establish baselines of normal behavior for users and entities within the network. It then identifies deviations from these baselines, which may indicate malicious activity. This approach is particularly effective for detecting unknown threats and sophisticated attacks that do not match known indicators of compromise (IoCs).

A. Implementing allow lists: Allow lists (whitelisting) restrict network communication to only authorized devices and applications, significantly reducing the attack surface by ensuring that only pre-approved traffic is permitted.

F. Implementing a site-to-site IPSec VPN: A site-to-site VPN provides a secure, encrypted tunnel for data transmission between the OT systems and the vendor, protecting the data from interception and tampering during transit.

Other options:

B. Monitoring network behavior: While useful for detecting anomalies, it does not proactively reduce the risk of compromise or sabotage.

C. Encrypting data at rest: Important for protecting data stored on devices, but does not address network communication risks.

D. Performing boot integrity checks: Ensures the integrity of the system at startup but does not protect ongoing network communications.

E. Executing daily health checks: Useful for maintaining system health but does not directly reduce the risk of network-based compromise or sabotage.

The log-in activity indicates a security threat, particularly involving the ADMIN account with a high-risk failure status. This suggests that the account may be targeted by malicious activities such as credential stuffing or brute force attacks.

Updating log configuration settings (A) may help in better logging future activities but does not address the immediate threat.

Changing the admin account password (B) is a good practice but may not fully mitigate the ongoing threat if the account has already been compromised.

Blocking employees (C) from logging into non-business applications might help in reducing attack surfaces but doesn't directly address the compromised account issue.

Implementing automation to disable accounts associated with high-risk activities ensures an immediate response to the detected threat, preventing further unauthorized access and allowing time for thorough investigation and remediation.