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| Section | Weight | Objectives |
|---|
| Security Operations | 34% | - Artificial Intelligence in Security Operations
- 1. AI governance
- 2. AI use cases
- 3. AI risks
- System and Network Architecture in Security Operations
- 1. Logging concepts
- 2. Infrastructure and system architecture concepts
- 3. Device management concepts
- 4. Network architecture concepts
- 5. Operating system concepts
- 6. Identity and access management
- 7. Encryption techniques
- 8. Data protection concepts
- 9. Critical infrastructure concepts
- Indicators of Potential Malicious Activity
- 1. Network-related indicators
- 2. Social engineering attacks
- 3. Identity-based indicators
- 4. Unauthorized configuration
- 5. Application-related indicators
- 6. Cloud-related indicators
- 7. Host-related indicators
- 8. Email-related attacks
- Tools for Determining Malicious Activity
- 1. User and entity behavior analysis
- 2. Pattern recognition and suspicious command analysis
- 3. Packet analysis
- 4. File formats
- 5. Domain and IP reputation
- 6. Threat intelligence platforms
- 7. Decoding and parsing
- 8. Endpoint security
- 9. File analysis
- 10. Log analysis and SIEM
- 11. Email analysis
- 12. Sandboxing
- 13. Programming and scripting languages
- Threat Intelligence and Threat Hunting
- 1. Collection methods and sources
- 2. Tactics, techniques, and procedures
- 3. Threat modeling
- 4. Confidence-level impacts
- 5. Cyber deception
- 6. Indicators of compromise
- 7. Threat actors
- 8. Threat mapping
- Efficiency and Process Improvement in Security Operations
- 1. Data enrichment
- 2. Streamline operations
- 3. Automation and orchestration
- 4. Technology and tool integration
- 5. Standardize processes
|
| Vulnerability Management | 26% | - Vulnerability Assessment Tools
- 1. Multipurpose tools
- 2. Breach attack simulation tools
- 3. Vulnerability scanners
- 4. Network scanning and mapping
- 5. Cloud infrastructure assessment tools
- 6. Web application scanners
- Vulnerability Prioritization and Mitigation
- 1. Vulnerability prioritization criteria
- 2. Validation of remediation
- 3. Mitigation strategies
- 4. Scoring methods
- 5. Context awareness
- Vulnerability Scanning Methods
- 1. Scan types
- 2. Planning considerations
- 3. Security baseline scanning
- 4. Asset inventory
- 5. Discovery
- Control Types, Risks, and Vulnerability Management
- 1. Application security
- 2. Risk concepts
- 3. Control types
- 4. Risk management strategies
- 5. Third-party risk
- 6. Policies, governance, and service-level objectives
- 7. Control functions
|
| Incident Response and Management | 24% | - Incident Response Techniques
- 1. Remediation and verification
- 2. Training and exercises
- 3. Restoration
- 4. Corrective action development
- 5. Timeline, severity, impact, and prioritization
- 6. Evidence gathering and preservation
- 7. Log collection, correlation, and enrichment
- 8. Root cause analysis
- 9. Isolation and escalation
- 10. Playbooks and roles
- 11. Incident response and communication plans
- 12. Alerts, notifications, and triage
- Attack Methodology Frameworks
- 1. Diamond Model of Intrusion Analysis
- 2. Cyber Kill Chain
- 3. MITRE ATT&CK
- Incident Response Process
- 1. Containment
- 2. Eradication
- 3. Post-incident activities
- 4. Preparation
- 5. Detection
- 6. Analysis
- 7. Recovery
|
| Reporting and Communication | 16% | - Vulnerability Management Reporting and Communication
- 1. Stakeholder identification and communication
- 2. Inhibitors to remediation
- 3. Compliance findings
- 4. Action plans
- 5. Vulnerability scan reports
- 6. Risk scorecards
- 7. Metrics and key performance indicators
- Security Operations and Incident Response Reporting and Communication
- 1. Internal threat intelligence report
- 2. Shift and incident handover
- 3. Executive summary
- 4. Operational security awareness
- 5. Communication plan
- 6. Post-incident reporting
- 7. Incident declaration and escalation
- 8. Metrics and key performance indicators
|
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CompTIA Cybersecurity Analyst (CySA+) Certification Exam Sample Questions (Q17-Q22):
NEW QUESTION # 17
Which of the following best explains the purpose of the Pyramid of Pain in threat intelligence?
- A. To show that changing to different types of indicators and behaviors is difficult for an adversary
- B. To measure how much operational damage a threat actor can cause before detection occurs
- C. To compare open-source intelligence (OSINT) with closed-source intelligence based on collection cost
- D. To organize attack activity into categories such as spoofing, tampering, and repudiation
Answer: A
Explanation:
The Pyramid of Pain illustrates the increasing operational difficulty imposed on an adversary when defenders successfully detect and deny progressively more behavioral indicators. At the lower levels are artifacts that attackers can replace relatively easily, such as hash values and IP addresses. Higher levels include domain names, network or host artifacts, tools, and ultimately tactics, techniques, and procedures (TTPs) .
Its central defensive lesson is that not all indicators impose equal cost on an attacker. Blocking one IP address may require the attacker only to obtain another server. Detecting a specific malware hash can often be defeated by recompiling or modifying the file. Detecting the attacker's established behaviors and operational methods creates substantially greater difficulty because the adversary may need to redesign procedures, change tooling, retrain operators, or alter an established intrusion methodology.
The Pyramid of Pain was developed specifically to describe this relationship between indicators and the amount of operational "pain" defenders impose when those indicators are denied.
Option B describes impact measurement, not indicator durability. Option C concerns intelligence-source classification. Option D resembles threat-modeling approaches such as STRIDE rather than the Pyramid of Pain.
Study Guide Reference: Security Operations # Threat Intelligence # Pyramid of Pain # Indicators of Compromise # Tools # TTPs # Behavioral Detection.
NEW QUESTION # 18
Which of the following is the most important reason why tactics, techniques, and procedures (TTP) are beneficial to a defensive strategy?
- A. TTP provides useful insights on the tools used by an attacker.
- B. TTP provides useful insights on an attacker's indicators of compromise.
- C. TTP provides useful insights on the strategy and behavior of an attacker.
- D. TTP provides useful insights on the hash values and internet protocol addresses attributed to an attacker.
Answer: C
Explanation:
TTPs describe how an adversary operates. These behavioral patterns are generally more durable and strategically useful for detection and defense than easily changed indicators such as IP addresses, hashes, or tools.
NEW QUESTION # 19
A team lead asks an analyst to integrate multiple security tools to provide an enhanced view into data that is not readily available in the tool console. Which of the following will best meet this requirement?
- A. Utilizing application programming interfaces
- B. Templating with infrastructure as code
- C. Deploying security orchestration, automation, and response
- D. Using playbooks
Answer: A
Explanation:
APIs enable security tools to exchange information and retrieve data or functionality that may not be exposed through their standard consoles.
NEW QUESTION # 20
A server was recently compromised. A security analyst needs to collect artifacts for further analysis before disconnecting the server from the network.
Which of the following artifacts should the analyst collect first?
- A. Hard disk
- B. Address Resolution Protocol table
- C. Netstat output
- D. ShellBags
Answer: C
Explanation:
The analyst should collect the Netstat output first because current network-connection information is highly volatile and will change immediately when the server is disconnected. netstat-type evidence can identify active TCP/UDP connections, listening services, remote endpoints, and potentially the communication channels associated with an attacker or command-and-control infrastructure.
Digital-forensic acquisition follows the order of volatility : evidence most likely to disappear or change should be captured before more persistent artifacts. RFC 3227 explicitly directs investigators to proceed from volatile to less-volatile evidence and identifies information such as routing data, ARP cache, process state, memory-related information, and network state as highly time-sensitive.
The ARP table is also volatile and should be captured early, but the wording "before disconnecting the server from the network" makes active connection state particularly important because those sessions will terminate when network connectivity is removed. ShellBags are persistent forensic artifacts stored within Windows Registry data and can be collected later from disk. A hard-disk image is critical but comparatively nonvolatile and should follow acquisition of live state.
Therefore, live network-session information takes priority.
Study Guide Reference: Incident Response and Management # Evidence Acquisition # Order of Volatility # Live Response # netstat # Network Connections # Forensic Preservation.
NEW QUESTION # 21
Which of the following helps identify the attack surface area of a new environment?
- A. Cyber Kill Chain
- B. Software development life cycle (SDLC)
- C. Open Systems Interconnection (OSI) model
- D. Incident response process
Answer: A
Explanation:
The Cyber Kill Chain provides a structured model of the stages of a cyberattack, from reconnaissance through exploitation and data exfiltration. By mapping potential attack paths across these stages, analysts can identify where an attacker could interact with systems and services in the environment. This helps reveal exposed entry points and weaknesses, effectively identifying the environment's attack surface area.
NEW QUESTION # 22
......
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