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| Section | Weight | Objectives |
|---|---|---|
| Threat Hunting Outcomes and Integration | 15% | - Capability improvement and maturity progression - Multi-product integration and visibility improvement - Analytical gap diagnosis |
| Threat Hunting Fundamentals | 20% | - Threat Hunting Maturity Model - Threat hunting definitions and purpose - Role of automation, AI and ML in SOC - Detection tool limitations and evasion techniques - Pyramid of Pain framework |
| Threat Actor Attribution | 15% | - Differentiating APT, commodity and automated threats - Tactics, techniques and procedures (TTP) analysis - Threat intelligence interpretation |
| Threat Hunting Processes | 20% | - Tool and configuration recommendations - Reverse engineering and compromise validation - Identification of unknown threats and gaps - Remediation and mitigation strategies - Runbook and playbook development |
| Threat Hunting Techniques | 20% | - Endpoint and artifact analysis - Network-based threat hunting - Memory forensics and analysis - Command and control (C2) traffic detection - IoT and application-level analysis - Signature creation and detection |
| Threat Modeling Techniques | 10% | - Threat classification and modeling standards - MITRE ATT&CK, CAPEC, TaHiTI, PASTA frameworks |
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NEW QUESTION # 131
What is the primary focus of the STRIDE threat modeling technique?
Answer: B
NEW QUESTION # 132
What is the purpose of the threat response phase in the threat hunting process?
Answer: C
NEW QUESTION # 133
A threat hunting team is attempting to attribute a series of intrusions across multiple organizations to a known threat actor. The malware binaries differ across incidents, infrastructure changes frequently, and IP addresses rotate daily. Which evidence provides the STRONGEST basis for confident attribution?
Answer: A
Explanation:
The correct answer isconsistent attacker tradecraft mapped to MITRE ATT&CK. Attribution at a professional level relies onbehavioral consistency, not superficial artifacts.
Advanced threat actors routinely rotate infrastructure, recompile malware, and vary filenames specifically to defeat attribution efforts. As a result, indicators such as IP addresses, hashes, and timestamps are unreliable and sit low on thePyramid of Pain.
What attackers cannot easily change ishow they operate. This includes:
* Initial access techniques
* Credential harvesting methods
* Lateral movement patterns
* Persistence mechanisms
* Command-and-control behaviors
When these behaviors remain consistent across incidents, they form abehavioral fingerprint. Mapping these observations toMITRE ATT&CK techniquesallows analysts to compare activity against known threat group profiles maintained by intelligence providers and national CERTs.
Option A and B are weak indicators easily altered by attackers. Option D provides almost no attribution value, as timing alone is coincidental and unreliable.
Professional attribution requires correlating TTPs across campaigns and validating them against historical threat actor intelligence. This method supports high-confidence attribution used in legal, executive, and geopolitical contexts.
Therefore,Option Cis the correct and defensible answer.
NEW QUESTION # 134
In threat actor attribution, what does IOA stand for?
Answer: B
NEW QUESTION # 135
Which of the following is NOT a common data source used in threat hunting?
Answer: A
NEW QUESTION # 136
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