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| Section | Weight | Objectives |
|---|---|---|
| Threat Hunting Fundamentals | 20% | - Pyramid of Pain framework - Detection tool limitations and evasion techniques - Role of automation, AI and ML in SOC - Threat hunting definitions and purpose - Threat Hunting Maturity Model |
| Threat Hunting Techniques | 20% | - Signature creation and detection - IoT and application-level analysis - Command and control (C2) traffic detection - Memory forensics and analysis - Network-based threat hunting - Endpoint and artifact analysis |
| Threat Actor Attribution | 15% | - Tactics, techniques and procedures (TTP) analysis - Differentiating APT, commodity and automated threats - Threat intelligence interpretation |
| Threat Hunting Outcomes and Integration | 15% | - Analytical gap diagnosis - Multi-product integration and visibility improvement - Capability improvement and maturity progression |
| Threat Modeling Techniques | 10% | - MITRE ATT&CK, CAPEC, TaHiTI, PASTA frameworks - Threat classification and modeling standards |
| Threat Hunting Processes | 20% | - Remediation and mitigation strategies - Identification of unknown threats and gaps - Runbook and playbook development - Tool and configuration recommendations - Reverse engineering and compromise validation |
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NEW QUESTION # 109
Which technique involves using data analysis techniques to proactively hunt for potential security threats within a network?
Answer: D
NEW QUESTION # 110
The MITRE CAPEC database is best used for understanding:
Answer: B
NEW QUESTION # 111
Which of the following is NOT a common threat modeling technique?
Answer: A
NEW QUESTION # 112
What triggers unstructured threat hunting?
Answer: A
Explanation:
The correct answer isIndicators of attack (IOAs). Unstructured threat hunting is typically triggered byweak signals, anomalies, or suspicious behaviorsthat do not yet meet the threshold of confirmed compromise.
These early signals are best described as indicators of attack rather than indicators of compromise.
To understand this distinction, it's important to separateIOAsfromIOCs. Indicators of compromise (Option A) include confirmed artifacts such as malicious hashes, known bad IP addresses, or identified malware.
When IOCs are present, the organization is already reacting to a known or validated threat, which aligns more closely withstructured threat huntingor incident response-not unstructured hunting.
Unstructured threat hunting is exploratory in nature. It is often initiated when analysts notice something "off," such as unusual login behavior, abnormal process execution, unexpected network traffic patterns, or deviations from baseline behavior. These observations suggestattacker intent or activity in progress, but without definitive proof of compromise. That uncertainty is precisely what drives unstructured hunts.
Option B (tactics, techniques, and procedures) is incorrect because TTPs are typically used to formhypothesis- driven, structured huntsbased on known adversary behavior frameworks like MITRE ATT&CK. Option C (customized threat identification) is vague and not a recognized trigger within professional threat hunting models.
From a SOC and threat hunting maturity perspective, unstructured hunting commonly occurs inlower to mid maturity environments, where hunters rely on intuition, experience, and anomaly detection rather than predefined hypotheses. It often serves as thestarting pointfor discovering new attack patterns, which can later be formalized into structured hunts and detection logic.
In short, unstructured threat hunting begins when defenders detectindicators of attack-signals that something malicious may be happening, even if there is no confirmed compromise yet. This makesOption Dthe correct and professionally accurate answer.
NEW QUESTION # 113
Artifacts at which level of the Pyramid of Pain provide the most context about an attack but are also the most challenging to use for attribution?
Answer: A
NEW QUESTION # 114
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