Exam Code: CS0-002
Exam Name: CompTIA Cybersecurity Analyst (CySA+) Certification Exam
Certification Provider: CompTIA
Corresponding Certification: CompTIA CySA+

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Compliance & Assessment: 13%

Understanding the significance of data protection and privacy: the test takers will be measured based on their understanding of privacy versus security, non-technical controls, and technical controls.
Applying concepts for organizational risk mitigation support: this measures the examinees’ skills in business impact analysis, risk calculation, risk identification process, systems assessment, supply chain assessment, training, exercise, documented compensating controls.
Describing the significance of frameworks, procedures, controls, and policies: this topic covers one’s knowledge of frameworks, control types, policies and procedures, audits and assessments.

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CompTIA CS0-002 Exam Syllabus Topics:

Topic	Details
Threat and Vulnerability Management - 22%
Explain the importance of threat data and intelligence.	1. Intelligence sources Open-source intelligence Proprietary/closed-source intelligence Timeliness Relevancy Accuracy 2. Confidence levels 3. Indicator management Structured Threat Information eXpression (STIX) Trusted Automated eXchange of Indicator Information (TAXII) OpenIoC 4. Threat classification Known threat vs. unknown threat Zero-day Advanced persistent threat 5. Threat actors Nation-state Hacktivist Organized crime Insider threat Intentional Unintentional 6. Intelligence cycle Requirements Collection Analysis Dissemination Feedback 7. Commodity malware 8. Information sharing and analysis communities Healthcare Financial Aviation Government Critical infrastructure
Given a scenario, utilize threat intelligence to support organizational security.	1. Attack frameworks MITRE ATT&CK The Diamond Model of Intrusion Analysis Kill chain 2. Threat research Reputational Behavioral Indicator of compromise (IoC) Common vulnerability scoring system (CVSS) 3. Threat modeling methodologies Adversary capability Total attack surface Attack vector Impact Likelihood 3. Threat intelligence sharing with supported functions Incident response Vulnerability management Risk management Security engineering Detection and monitoring
Given a scenario, perform vulnerability management activities.	1. Vulnerability identification Asset criticality Active vs. passive scanning Mapping/enumeration 2. Validation True positive False positive True negative False negative 3. Remediation/mitigation Configuration baseline Patching Hardening Compensating controls Risk acceptance Verification of mitigation 4. Scanning parameters and criteria Risks associated with scanning activities Vulnerability feed Scope Credentialed vs. non-credentialed Server-based vs. agent-based Internal vs. external Special considerations Types of data Technical constraints Workflow Sensitivity levels Regulatory requirements Segmentation Intrusion prevention system (IPS), intrusion detection system (IDS), and firewall settings 5. Inhibitors to remediation Memorandum of understanding (MOU) Service-level agreement (SLA) Organizational governance Business process interruption Degrading functionality Legacy systems Proprietary systems
Given a scenario, analyze the output from common vulnerability assessment tools.	1.Web application scanner OWASP Zed Attack Proxy (ZAP) Burp suite Nikto Arachni 2.Infrastructure vulnerability scanner Nessus OpenVAS Qualys 3.Software assessment tools and techniques Static analysis Dynamic analysis Reverse engineering Fuzzing 4.Enumeration Nmap hping Active vs. passive Responder 5. Wireless assessment tools Aircrack-ng Reaver oclHashcat 6. Cloud infrastructure assessment tools ScoutSuite Prowler Pacu
Explain the threats and vulnerabilities associated with specialized technology.	1. Mobile 2. Internet of Things (IoT) 3. Embedded 4. Real-time operating system (RTOS) 5. System-on-Chip (SoC) 6. Field programmable gate array (FPGA) 7. Physical access control 8. Building automation systems 9. Vehicles and drones CAN bus 10. Workflow and process automation systems 11. Industrial control system 12. Supervisory control and data acquisition (SCADA) Modbus
Explain the threats and vulnerabilities associated with operating in the cloud.	1. Cloud service models Software as a Service (SaaS) Platform as a Service (PaaS) Infrastructure as a Service (IaaS) 2. Cloud deployment models Public Private Community Hybrid 3. Function as a Service (FaaS)/serverless architecture 4. Infrastructure as code (IaC) 5. Insecure application programming interface (API) 6. Improper key management 7. Unprotected storage 8. Logging and monitoring Insufficient logging and monitoring Inability to access
Given a scenario, implement controls to mitigate attacks and software vulnerabilities.	1. Attack types Extensible markup language (XML) attack Structured query language (SQL) injection Overflow attack Buffer Integer Heap Remote code execution Directory traversal Privilege escalation Password spraying Credential stuffing Impersonation Man-in-the-middle attack Session hijacking Rootkit Cross-site scripting Reflected Persistent Document object model (DOM) 2. Vulnerabilities Improper error handling Dereferencing Insecure object reference Race condition Broken authentication Sensitive data exposure Insecure components Insufficient logging and monitoring Weak or default configurations Use of insecure functions strcpy
Software and Systems Security - 18%
Given a scenario, apply security solutions for infrastructure management.	1. Cloud vs. on-premises 2. Asset management Asset tagging 3. Segmentation Physical Virtual Jumpbox System isolation Air gap 4. Network architecture Physical Software-defined Virtual private cloud (VPC) Virtual private network (VPN) Serverless 5. Change management 6. Virtualization Virtual desktop infrastructure (VDI) 7. Containerization 8. Identity and access management Privilege management Multifactor authentication (MFA) Single sign-on (SSO) Federation Role-based Attribute-based Mandatory Manual review 9. Cloud access security broker (CASB) 10. Honeypot 11. Monitoring and logging 12. Encryption 13. Certificate management 14. Active defense
Explain software assurance best practices.	1. Platforms Mobile Web application Client/server Embedded System-on-chip (SoC) Firmware 2. Software development life cycle (SDLC) integration 3. DevSecOps 4. Software assessment methods User acceptance testing Stress test application Security regression testing Code review 5. Secure coding best practices Input validation Output encoding Session management Authentication Data protection Parameterized queries 6. Static analysis tools 7. Dynamic analysis tools 8. Formal methods for verification of critical software 9. Service-oriented architecture Security AssertionsMarkup Language (SAML) Simple Object Access Protocol (SOAP) Representational State Transfer (REST) Microservices
Explain hardware assurance best practices.	1. Hardware root of trust Trusted platform module (TPM) Hardware security module (HSM) 2. eFuse 3. Unified Extensible Firmware Interface (UEFI) 4. Trusted foundry 5. Secure processing Trusted execution Secure enclave Processor security extensions Atomic execution 6. Anti-tamper 7. Self-encrypting drive 8. Trusted firmware updates 9. Measured boot and attestation 10. Bus encryption
Security Operations and Monitoring - 25%
Given a scenario, analyze data as part of security monitoring activities.	1. Heuristics 2. Trend analysis 3. Endpoint Malware Reverse engineering Memory System and application behavior Known-good behavior Anomalous behavior Exploit techniques File system User and entity behavior analytics (UEBA) 4. Network Uniform Resource Locator (URL) and domain name system (DNS) analysis Domain generation algorithm Flow analysis Packet and protocol analysis Malware 5. Log review Event logs Syslog Firewall logs Web application firewall (WAF) Proxy Intrusion detection system (IDS)/Intrusion prevention system (IPS) 6. Impact analysis Organization impact vs. localized impact Immediate vs. total 7. Security information and event management (SIEM) review Rule writing Known-bad Internet protocol (IP) Dashboard 8. Query writing String search Script Piping 9. E-mail analysis Malicious payload Domain Keys Identified Mail (DKIM) Domain-based Message Authentication, Reporting, and Conformance (DMARC) Sender Policy Framework (SPF) Phishing Forwarding Digital signature E-mail signature block Embedded links Impersonation Header
Given a scenario, implement configuration changes to existing controls to improve security.	1. Permissions 2. Whitelisting 3. Blacklisting 4. Firewall 5. Intrusion prevention system (IPS) rules 6. Data loss prevention (DLP) 7. Endpoint detection and response (EDR) 8. Network access control (NAC) 9. Sinkholing 10. Malware signatures Development/rule writing 11. Sandboxing 12. Port security
Explain the importance of proactive threat hunting.	1. Establishing a hypothesis 2. Profiling threat actors and activities 3. Threat hunting tactics Executable process analysis 4. Reducing the attack surface area 5. Bundling critical assets 6. Attack vectors 7. Integrated intelligence 8. Improving detection capabilities
Compare and contrast automation concepts and technologies.	1. Workflow orchestration Security Orchestration, Automation, and Response (SOAR) 2. Scripting 3. Application programming interface (API) integration 4. Automated malware signature creation 5. Data enrichment 6. Threat feed combination 7. Machine learning 8. Use of automation protocols and standards Security Content Automation Protocol (SCAP) 9. Continuous integration 10. Continuous deployment/delivery
Incident Response - 22%
Explain the importance of the incident response process.	1. Communication plan Limiting communication to trusted parties Disclosing based on regulatory/legislative requirements Preventing inadvertent release of information Using a secure method of communication Reporting requirements 2. Response coordination with relevant entities Legal Human resources Public relations Internal and external Law enforcement Senior leadership Regulatory bodies 3. Factors contributing to data criticality Personally identifiable information (PII) Personal health information (PHI) Sensitive personal information (SPI) High value asset Financial information Intellectual property Corporate information
Given a scenario, apply the appropriate incident response procedure.	1. Preparation Training Testing Documentation of procedures 2. Detection and analysis Characteristics contributing to severity level classification Downtime Recovery time Data integrity Economic System process criticality Reverse engineering Data correlation 3. Containment Segmentation Isolation 4. Eradication and recovery Vulnerability mitigation Sanitization Reconstruction/reimaging Secure disposal Patching Restoration of permissions Reconstitution of resources Restoration of capabilitiesand services Verification of logging/communication tosecurity monitoring 5. Post-incident activities Evidence retention Lessons learned report Change control process Incident response plan update Incident summary report IoC generation Monitoring
Given an incident, analyze potential indicators of compromise.	1. Network-related Bandwidth consumption Beaconing Irregular peer-to-peer communication Rogue device on the network Scan/sweep Unusual traffic spike Common protocol over non-standard port 2. Host-related Processor consumption Memory consumption Drive capacity consumption Unauthorized software Malicious process Unauthorized change Unauthorized privilege Data exfiltration Abnormal OS process behavior File system change or anomaly Registry change or anomaly Unauthorized scheduled task 3. Application-related Anomalous activity Introduction of new accounts Unexpected output Unexpected outbound communication Service interruption Application log
Given a scenario, utilize basic digital forensics techniques.	1. Network Wireshark tcpdump 2. Endpoint Disk Memory 3. Mobile 4. Cloud 5. Virtualization 6. Legal hold 7. Procedures 8. Hashing Changes to binaries 9. Carving 10. Data acquisition
Compliance and Assessment - 13%
Understand the importance of data privacy and protection.	1. Privacy vs. security 2. Non-technical controls Classification Ownership Retention Data types Retention standards Confidentiality Legal requirements Data sovereignty Data minimization Purpose limitation Non-disclosure agreement (NDA) 3. Technical controls Encryption Data loss prevention (DLP) Data masking Deidentification Tokenization Digital rights management (DRM) Watermarking Geographic access requirements Access controls
Given a scenario, apply security concepts in support of organizational risk mitigation.	1. Business impact analysis 2. Risk identification process 3. Risk calculation Probability Magnitude 4. Communication of risk factors 5. Risk prioritization Security controls Engineering tradeoffs 6. Systems assessment 7. Documented compensating controls 8. Training and exercises Red team Blue team White team Tabletop exercise 9. Supply chain assessment Vendor due diligence Hardware source authenticity
Explain the importance of frameworks, policies, procedures, and controls.	1. Frameworks Risk-based Prescriptive 2. Policies and procedures Code of conduct/ethics Acceptable use policy (AUP) Password policy Data ownership Data retention Account management Continuous monitoring Work product retention 3. Category Managerial Operational Technical 4. Control type Preventative Detective Corrective Deterrent Compensating Physical 5. Audits and assessments Regulatory Compliance

Reference: https://www.comptia.org/certifications/cybersecurity-analyst

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