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CREST CCTIM1 Exam Syllabus Topics:
| Section | Objectives |
|---|
| Data Collection | - Data Reliability
- 1. Deception, disinformation and misinformation
- 2. Data freshness and collection limitations
- 3. Source relevance, credibility and reliability assessment
- Collection Planning
- 1. Designing efficient, agile and robust collection plans
- Web Enumeration and Social Media
- 1. Search engines and open-source information gathering
- 2. Social networking information and threat actor activity
- Document Metadata
- 1. Machine names, printer information and operating system artefacts
- 2. Document metadata, author information and application details
- Operational Security
- 1. Secure and anonymous online collection operations
- 2. Alias accounts and protection of collection identities
- Domain Name System (DNS)
- 1. DNS queries, responses and record types
- 2. DNS zone transfers
- 3. Dynamic DNS and fast-flux DNS
- Registration Records
- 1. WHOIS information
- 2. IP address and domain registration records
- Dump Site Scraping
- 1. Online services used to disclose or distribute stolen data
- Bulk Data Collection
- 1. Collection from social media, passive DNS and malware feeds
- 2. Benefits and challenges of large-scale data collection
- Data Sources and Acquisition
- 1. Open-source intelligence (OSINT), human intelligence (HUMINT) and signals intelligence (SIGINT)
- 2. Legal frameworks for technical and human-source collection
- Handling Human Sources
- 1. Interviewing techniques and human-source cultivation
|
| Legal and Ethical | - Legal Frameworks
- 1. Privacy, data protection and applicable jurisdictional considerations
- 2. Legal requirements governing intelligence collection and processing
- Ethical Conduct
- 1. Operational safety and protection of sources
- 2. Authorisation, proportionality and rules of engagement
- 3. Ethical intelligence collection and handling
|
| Technical Cyber Security | - Network and Infrastructure Security
- 1. Networking fundamentals and relevant security technologies
- 2. Network traffic, infrastructure and technical indicators
- Malware and Technical Threat Analysis
- 1. Technical investigation and vulnerability research concepts
- 2. Malware behaviour and analysis fundamentals
|
| Key Concepts | - Threat Actors and Attribution
- 1. Attribution of malicious activity to people, places and organisations
- 2. Threat actor categories, motivations and intent
- Process and Intelligence Lifecycle
- 1. Planning and executing intelligence-led engagements
- 2. Intelligence lifecycle and F3EAD
- 3. Staff direction and client management
- Analysis Methodology
- 1. Analysis of Competing Hypotheses (ACH)
- 2. Diamond Model of Intrusion Analysis
- 3. Threat intelligence analysis methodologies
- 4. Intelligence Preparation of the Environment and Battlefield (IPE/IPB)
- 5. Forecasting and predictive analysis
- Attack Methodology
- 1. Cyber kill chain and attack phases
- 2. MITRE ATT&CK framework and behavioural analysis
- 3. Tactics, techniques and procedures (TTPs)
- Terminology
- 1. Threat intelligence, business risk and information security terminology
- Principles of Intelligence
- 1. Core intelligence principles and their application to cyber threat intelligence
- Business Imperative
- 1. Organisational applications of threat intelligence
- 2. Business drivers for intelligence-led security assessments
|
| Management | - Team Leadership
- 1. Leading multidisciplinary threat intelligence teams
- 2. Task allocation, coordination and resource management
- 3. Quality assurance and professional development
- Operational and Project Management
- 1. Managing intelligence engagements and delivery
- 2. Evaluating intelligence effectiveness and operational outcomes
- 3. Managing stakeholder expectations and customer relationships
|
| Product Dissemination | - Intelligence Production
- 1. Communicating findings, assessments and recommendations
- 2. Producing accurate, evidence-based intelligence products
- Dissemination and Reporting
- 1. Communicating uncertainty, limitations and confidence
- 2. Tailoring intelligence products to customer requirements
- 3. Disseminating actionable intelligence to appropriate stakeholders
|
| Direction and Review | - Intelligence Planning
- 1. Prioritisation of intelligence requirements
- 2. Planning how customers will consume and apply intelligence
- Requirements Analysis and Scoping
- 1. Timescale estimation and resource planning
- 2. Project scoping and definition of desired outcomes
- 3. Rules of engagement, limitations and constraints
- 4. Analysis of customer requirements and organisational context
- Project Review
- 1. Reviewing successes and failures with the customer
- 2. Post-engagement review and assessment of outcomes
|
| Data Analysis | - Technical and Contextual Analysis
- 1. Analysis of technical indicators and attacker behaviour
- 2. Identification of relationships between threat actors, infrastructure and campaigns
- 3. Correlation of technical, geopolitical and contextual information
- Intelligence Analysis and Assessment
- 1. Evaluation of competing hypotheses and confidence levels
- 2. Analysis of collected intelligence and supporting evidence
- 3. Assessment of threats, risks and intelligence gaps
|
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