Pass the CompTIA CompTIA CySA+ CS0-003 Questions and answers with CertsForce

MITRE ATT&CK is a framework and knowledge base that describes the tactics, techniques, and procedures (TTPs) used by various adversaries in cyberattacks. MITRE ATT&CK can help security analysts compare TTPs between different known adversaries of an organization, as well as identify patterns, gaps, or trends in adversary behavior. MITRE ATT&CK can also help security analysts improve threat detection, analysis, and response capabilities, as well as share threat intelligence with other organizations or communities

User behavior analysis (UBA) is the most effective method for detecting abnormal account activity.

UBA uses machine learning and behavioral analytics to identify patterns in how users interact with systems. If an employee suddenly logs in from an unusual location or accesses resources outside of their normal behavior, it raises an alert​.

Option A (Malicious command interpretation) is focused on malware analysis, not user behavior.

Option B (Network monitoring) detects anomalies at the network level, but does not specifically focus on user behaviors.

Option D (SSL Inspection) is useful for decrypting encrypted traffic, but it does not analyze user activity patterns.

Command-and-control (C2) beaconing involves compromised systems communicating with an attacker’s server at regular intervals, often using HTTPS to blend in with legitimate traffic. This is indicative of a potential compromise where malware communicates back to a command center. The persistent nature of the connections after hours and throughout the day suggests automated beaconing, which is a tell-tale sign of C2 activity. According to CompTIA CySA+, this type of activity should raise immediate suspicion and warrants further investigation and containment. While options B, C, D, and E might indicate other issues, they do not fit the pattern described as well as option A.

Vulnerability 2 should be prioritized as it is exploitable, has high exploit activity, and is exposed externally according to the SMITTEN metric. References: Vulnerability Management Metrics: 5 Metrics to Start Measuring in Your Program, Section: Vulnerability Severity.

The Cyber Kill Chain is a framework that describes the stages of a cyberattack from reconnaissance to actions on objectives. The exploitation stage is where attackers take advantage of the vulnerabilities they have discovered in previous stages to further infiltrate a target’s network and achieve their objectives. In this case, the malicious actor has gained access to an internal network by means of social engineering and does not want to lose access in order to continue the attack. This indicates that the actor is in the exploitation stage of the Cyber Kill Chain. Official References: https://www.lockheedmartin.com/en-us/capabilities/cyber/cyber-kill-chain.html

Agent-based scansare runlocally on hostsvia installed agents, whichsignificantly reduces network trafficwhile allowing in-depth visibility and accurate scanning. They’re ideal for bandwidth-limited or sensitive networks.

Credentialed scans (A)still transmit data over the network.

Individual scans (B)is ambiguous and not a standard term.

Baseline scans (C)focus on policy compliance, not reducing traffic.

?Reference:

Chapple & Seidl – Vulnerability Management, Chapter 6: Scanning Techniques

CS0-003 Domain 2.1 – Vulnerability Scanning Methods

The scan output where ports are marked as “closed” suggests the use of ahalf-open or SYN scan. In a SYN scan, the scanner sends only the initial SYN packet and does not complete the TCP handshake. If a SYN-ACK is received, the port is open; if a RST is received, it is closed. This scanning method is also referred to as astealth scanand is frequently used to avoid detection.

TheDiamond Model of Intrusion Analysisconsists offour core attributes:

Adversary– The threat actor behind the attack.

Capability– The tools and techniques used.

Infrastructure– The systems used by the adversary (e.g., botnets, C2 servers).

Victim– The target of the attack​.

Option A (Delivery)andOption B (Weaponization)are part of theCyber Kill Chain, not the Diamond Model.

Option C (Command and control)is an attack phase butnot a core attribute of the Diamond Model.

Option D (Capability) is correct, as it represents the tools and attack methods used by adversaries.

Thus,D is the correct answer.

Improving employee training and awareness is the best option to address the issue of sensitive reports being disclosed via file sharing services. By educating employees about the risks of unapproved file sharing, the security protocols to follow, and the proper channels to use for sharing company information, an organization can significantly reduce the risk of sensitive data being accidentally or intentionally shared on insecure platforms. This human-centric approach addresses the root cause of the problem. Options A, C, and D are security controls that do not directly address the behavior of sharing sensitive files on unauthorized services.

High GPU utilization is the most likely indicator that cryptomining is occurring, as it reflects the intensive computational work that is required to solve the complex mathematical problems involved in mining cryptocurrencies. Cryptomining is the process of generating new units of a cryptocurrency by using computing power to verify transactions and create new blocks on the blockchain. Cryptomining can be done legitimately by individuals or groups who participate in a mining pool and share the rewards, or illegitimately by threat actors who use malware or scripts to hijack the computing resources of unsuspecting victims and use them for their own benefit. This practice is called cryptojacking, and it can cause performance degradation, increased power consumption, and security risks for the affected systems. Cryptomining typically relies on the GPU (graphics processing unit) rather than the CPU (central processing unit), as the GPU is better suited for parallel processing and can handle more calculations per second. Therefore, a high GPU utilization rate can be a sign that cryptomining is taking place on a system, especially if there is no other explanation for the increased workload. The other options are not as indicative of cryptomining as high GPU utilization, as they can have other causes or explanations. Bandwidth consumption can be affected by many factors, such as network traffic, streaming services, downloads, or updates. It is not directly related to cryptomining, which does notrequire a lot of bandwidth to communicate with the mining pool or the blockchain network. Unauthorized changes can be a result of many types of malware or cyberattacks, such as ransomware, spyware, or trojans. They are not specific to cryptomining, which does not necessarily alter any files or settings on the system, but rather uses its processing power. Unusual traffic spikes can also be caused by various factors, such as legitimate surges in demand, distributed denial-of-service attacks, or botnets. They are not indicative of cryptomining, which does not generate a lot of traffic or requests to or from the system.