CREST Registered Threat Intelligence Analyst

Mastering the Fundamentals of Cyber Threat Intelligence for CREST Certification
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This practice test is designed to prepare candidates for the CREST Registered Threat Intelligence Analyst certification exam. It covers essential topics, including key concepts, attack methodologies, and the intelligence lifecycle. Engage with comprehensive questions that assess your understanding of cyber threat intelligence principles, processes, and ethical considerations in a cybersecurity context.
  • Exam name: CREST Registered Threat Intelligence Analyst 
  • Duration: 150 min
  • Exam type: IT / Cybersecurity
  • Questions per exam: 120
  • Language: English
  • Passing Score: 66% 
Practice Test

This offer includes

  • 6 Full practice tests
  • Immediate access
  • Exam practice
Video Course

This offer includes

  • 7 hours on-demand video
  • Immediate access
  • Downloadable materials
Lesson series

What you will learn?

- Understand key concepts and terminology in cyber threat intelligence.  
- Analyze threat actors and attack methodologies using established frameworks.  
- Develop skills in data collection, analysis, and product dissemination relevant to client needs.  
- Grasp the entire intelligence lifecycle, including requirements analysis and project review.  
- Explore legal and ethical considerations critical to conducting intelligence-led engagements.

CREST Registered Threat Intelligence Analyst

The CREST Registered Threat Intelligence Analyst practice test is meticulously designed to equip aspiring analysts with critical knowledge and skills required in the field of cyber threat intelligence. This comprehensive test covers a wide array of subtopics essential for understanding the core concepts of intelligence-led cyber threat assessments. Candidates will delve into key themes such as the principles of intelligence in a cyber context, threat actors' motivations, attack methodologies, data collection and analysis processes, as well as the cyclical nature of the intelligence lifecycle. Expect 20 questions per major area to ensure a thorough understanding of fundamental theories, practical applications, and current best practices, all reflecting the latest developments in the dynamic field of cybersecurity.

Upon completion of the practice test, participants will gain invaluable insights into their strengths and areas for improvement, which can be leveraged to enhance their understanding and effectiveness in real-world situations. This test not only hones their analytical skills, but also familiarizes candidates with structured methodologies used in intelligence analysis, such as the Diamond Model and the Mitre ATT&CK framework. Additionally, readers will appreciate the emphasis placed on both legal and ethical standards that dictate responsible engagement in intelligence-led scenarios, preparing them for the multifaceted challenges faced by security professionals today.

Candidates who successfully complete this practice test can utilize their newfound knowledge to excel in their current roles or pursue further opportunities in cybersecurity. The questions presented will encourage deep critical thinking and practical application, making it a beneficial tool for those looking to capitalize on their analytical skills in various cybersecurity contexts. With a solid foundation in intelligence practices and effective communication strategies, test-takers will be well-prepared for a rewarding career as a CREST Registered Threat Intelligence Analyst. The experience gained from this practice test serves not only as a stepping stone for certification but also as a framework for continual professional development in the ever-evolving landscape of cyber threats.

  • Certification Syllables

    • Key Concepts
    • The key concepts underlying intelligence-led cyber threat assessments.
    • Business imperative
    • Background and reasons for intelligence-led security testing
    • Understanding of the range of scenarios in which threat intelligence can be used within an organisation.
    • Terminology
    • Knowledge of common terms relating to threat intelligence, business risk and information security.
    • Threat actors & attribution
    • Knowledge of common attackers (e.g. hacktivists, criminals, nation states) and their motivation and intent. The benefits of associating activity with real people, places or organisations.
    • Attack methodology
    • Knowledge regarding phases of the cyber ‘kill chain’ methodology.
    • Knowledge of common tactics, techniques and procedures (TTPs).
    • Understanding of, and familiarity with the Mitre ATT&CK framework
    • Sequences of tool application, behavioural identification/observed behaviour.
    • Analysis methodology
    • Understanding of typical methodologies used to analyse collected intelligence and their application. Knowledge of methods for analysis of threat, e.g. the diamond model.
    • Analysis of competing hypotheses (ACH), Intelligence Preparation of the Environment / Battlefield (IPB / IPE).
    • Familiarity with concepts and terminology concerning forecasting and predictive methodologies.
    • Process and intelligence lifecycle:
    • Ability to plan and execute an intelligence-led engagement start to finish, including providing direction to junior staff and managing the client.
    • Understanding of the intelligence lifecycle (and variations of if including F3EAD) and how it relates to conducting a client engagement.
    • Principles of Intelligence
    • Understanding of the principles of intelligence and their application in Cyber Threat Intelligence context.(20) 
    • Direction and Review
    • Conducting engagements that encompass the entire intelligence lifecycle, from gathering customer requirements to reviewing outcomes.
    • Requirements analysis (scoping)
    • Analysing a intelligence customer’s position to understand requirements.
    • Scoping projects to achieve key outcomes relevant to the client’s organisation.
    • Accurate timescale scoping and resource planning.
    • Establishing rules of engagement, limitations and constraints.
    • Intelligence planning
    • Prioritising intelligence requirements (e.g. MoSCoW).
    • Basic mapping of how a customer will consume and apply threat intelligence.
    • Project review
    • Conducting a review after an intelligence-led engagement, assessing the successes and failures in conjunction with the customer.(20) 
    • Data Collection
    • Collection of data relevant to a customer’s intelligence requirements and turning it into a format suitable for analysis.
    • Collection planning
    • Knowledge of building a collection plan that is efficient, agile, robust and appropriate.
    • Data sources and acquisition
    • Understanding of various intelligence sources and their relevance to an engagement e.g. OSINT, HUMINT, SIGINT.
    • Knowledge of legal frameworks relevant to collecting data from technical and human sources.
    • Data reliability
    • Understanding of how to assess the relevance of intelligence sources.
    • Knowledge of factors which affect the credibility of an intelligence source and how to rate specific intelligence sources for reliability.
    • Understanding of the key differences between deception, disinformation and misinformation.
    • Understanding of how methods used in data collection can affect the availability or freshness of data.
    • Registration records
    • Knowledge of the information contained within IP and domain registries (WHOIS).
    • Domain Name Server (DNS)
    • Knowledge of DNS queries and responses, zone transfers and common record types.
    • Awareness of dynamic DNS providers and the concepts of fast-flux DNS
    • Web enumeration and social media
    • Effective use of search engines and other open source intelligence sources to gain information about a target.
    • Knowledge of information that can be retrieved from common social networking sites and how these platforms are used by threat actors.
    • Document metadata
    • Awareness of metadata contained within common document formats, such as author, application versions, machine names, printer and operating system information.
    • Dump site scraping
    • Knowledge of online services commonly used to leak stolen data and how these have been used historically to share sensitive data
    • Operational security
    • Understanding of how to securely conduct collection operations online, implementing robust procedures to protect the safety and anonymity of individuals.
    • Knowledge of how to establish identities for data collection, for example operating alias accounts for monitoring online activity.
    • Bulk data collection
    • Knowledge of how to collect data in bulk, such as from social media, Passive DNS or online feeds of malware.
    • Explain the benefits and challenges arising from collecting such data in bulk.
    • Handling human sources
    • Knowledge of interviewing techniques and tactics involved in cultivation of human sources.
    • Awareness of specific legal and reliability issues relating to human sources.(20) 
    • Data Analysis
    • Using structured techniques and methods to address customer requirements by analysis of collected data.
    • Contextualisation
    • Understanding of the environment surrounding data and data sources, for example political, economic, social and technological contexts.
    • Analysis methodologies
    • Ability to sort and filter data.
    • Ability to use standard qualitative and quantitative analysis methodologies to process data and generate intelligence product.
    • Awareness of social network analysis and behavioural profiling techniques.
    • Awareness of threat modelling and techniques such as attack trees.
    • Machine based techniques
    • Awareness of structured and unstructured data analysis techniques.
    • Awareness of machine learning techniques, for example supervised and unsupervised learning.
    • Statistics
    • Knowledge of fundamental statistical methods used during data analysis, including averages, standard deviation, statistical distributions and techniques for data correlation, for example: • Time-series analysis • Graphing techniques • Charting techniques • Confidence levels
    • Critique
    • Critical analysis of collected data, ensuring that all potential hypotheses are explored and evaluated.
    • Ability to identify fake or conflicting data, for example misinformation.
    • Understanding of prediction and forecasting and the differences between secrets and mysteries.
    • Awareness of the importance of identifying and removing bias should this occur as an artefact of collection methods or analysis techniques.
    • Consistency
    • Ability to achieve consistency in analysis outputs and intelligence products throughout multiple engagements for a single customer or across industry sectors.(20) 
    • Product Dissemination
    • Methods for disseminating intelligence product to consumers and for sharing intelligence with trusted members of the wider intelligence community.
    • Forms of delivery
    • Understanding of effective delivery mechanisms that meet customer requirements, ranging from simple alerts to tailored reports.
    • Knowledge of why machine-readable data formats are important for efficient intelligence sharing and awareness of common vendor or community sponsored file formats.
    • Technical data sharing
    • Knowledge of what constitutes useful technical defensive intelligence, for example different types of host and network based indicators.
    • Knowledge of common formats for distributing indicators of compromise to collaboration partners and ability to interpret these.
    • Intelligence sharing initiatives
    • Knowledge of intelligence sharing initiatives and their relevance to individual clients.
    • Intelligence handling and classification
    • Knowledge of formal data classification or handling policies.
    • Understanding of why and how to establish secure mechanisms for delivery and sharing of intelligence with clients (for example the use of data encryption and strong authentication).(20) 
    • Management
    • General management of operations, projects and quality.
    • Client management & communications
    • Knowledge sharing, daily checkpoints and defining escalation paths for encountered problems.
    • Knowledge and practical use of secure out-of-band communication channels.
    • Regular updates of progress to necessary stakeholders.
    • Project management
    • Ability to manage a team of threat intelligence analysts providing services to customers.
    • Knowledge of the full engagement lifecycle including scoping, authorisation, non-disclosure agreements and review. Ability to make decisions using sound judgement and critical reasoning.
    • Reporting
    • Ability to compile concise reporting with clear explanation of limitations, caveats and assumptions.
    • Ability to concisely communicate technical data and attack techniques in a coherent narrative that addresses the intelligence needs of the consumer.
    • Knowledge of methods for organising and presenting complicated links between related intelligence in a variety of graphical forms.
    • Understanding, explaining and managing risk
    • Knowledge of the additional risks that threat led engagements pose.
    • Communication and explanation of the risks relating to intelligence collection. Effective planning for potential problems during later phases of an engagement.
    • Awareness of relevant risk management standards, for example: • Risk Management ISO 31000 • Information Security ISO 27001 • Business Continuity ISO 22301 • Risk Assessment ISO 27005
    • Third Parties
    • Ability to deal with external third parties in a professional and knowledgeable manner to facilitate threat led engagements.
    • Knowledge of public organisations, Government departments and regulatory bodies relevant to specific clients and their role in overseeing industry sectors.
    • Regulator Mandated TI schemes
    • Basic understanding of the range of regulator mandated, intelligence led, penetration testing schemes, their format and requirements.(10) 
    • Legal and Ethical
    • Legal and ethical considerations arising from conducting intelligence-led engagements.
    • Law & Compliance
    • Knowledge of pertinent UK legal issues: • Computer Misuse Act 1990 • Human Rights Act 1998 • Data Protection Act 1998 • Police and Justice Act 2006 • Official Secrets Act 1989 • Telecommunications (Lawful Business Practice) (Interception of Communications) 2000 • Regulation of Investigatory Powers Act 2000 • Bribery Act 2010 • Proceeds of Crime Act 2002 Awareness of relevant laws concerning employment rights, copyright and intellectual property.
    • Awareness of relevant international legislation and the complexities of working with multi-national organisations.
    • Understanding of how and when to interact with law enforcement during an engagement.
    • Knowledge of what written authority is necessary to comply with local laws.
    • Ethics
    • Awareness of the strong ethical requirements needed when providing accurate threat intelligence.
    • Understanding of the CREST Code of Conduct and the responsibilities it places on individuals and companies.(10)

  • Who is this exam for?

    - Aspiring Threat Intelligence Analysts looking to enhance their knowledge.  
    - Cybersecurity professionals aiming for CREST certification or advanced roles.  
    - Teams responsible for cybersecurity and threat assessments within organizations.  
    - Individuals seeking to deepen their understanding of intelligence-led security practices.

Frequently asked questions

What is the format of the practice test?

The practice test consists of multiple-choice questions covering various cyber threat intelligence topics relevant to the CREST certification.

How long is the practice test?

The test is structured to be completed in approximately 90 minutes, simulating the time constraints of the actual exam.

Is this practice test suitable for complete beginners?

While it is beneficial for those with some background in cybersecurity, it helps solidify concepts for beginners as well as experienced professionals preparing for the CREST exam.

Will I receive feedback on my performance?

Yes, upon completion, you will receive detailed feedback on your performance to help identify areas for further study and improvement.
Lesson series

CREST Registered Threat Intelligence Analyst

This practice test is designed to prepare candidates for the CREST Registered Threat Intelligence Analyst certification exam. It covers essential topics, including key concepts, attack methodologies, and the intelligence lifecycle. Engage with comprehensive questions that assess your understanding of cyber threat intelligence principles, processes, and ethical considerations in a cybersecurity context.
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Disclaimer
This unofficial practice test is intended as a supplementary resource for exam preparation and does not guarantee certification. We do not offer exam dumps or questions from actual exams.

We offer learning material and practice tests to assist and help learners prepare for those exams. While it can aid in your readiness for the certification exam, it's important to combine it with comprehensive study materials and hands-on experience for optimal exam readiness. The questions provided are samples to help you gauge your understanding of the material.

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