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| Section | Weight | Objectives |
|---|---|---|
| Threat Modeling Techniques | 10% | - MITRE ATT&CK, CAPEC, TaHiTI, PASTA frameworks - Threat classification and modeling standards |
| Threat Hunting Outcomes and Integration | 15% | - Multi-product integration and visibility improvement - Analytical gap diagnosis - Capability improvement and maturity progression |
| Threat Hunting Techniques | 20% | - Network-based threat hunting - Signature creation and detection - Endpoint and artifact analysis - Command and control (C2) traffic detection - Memory forensics and analysis - IoT and application-level analysis |
| Threat Hunting Fundamentals | 20% | - Threat hunting definitions and purpose - Threat Hunting Maturity Model - Detection tool limitations and evasion techniques - Pyramid of Pain framework - Role of automation, AI and ML in SOC |
| Threat Actor Attribution | 15% | - Tactics, techniques and procedures (TTP) analysis - Threat intelligence interpretation - Differentiating APT, commodity and automated threats |
| Threat Hunting Processes | 20% | - Reverse engineering and compromise validation - Identification of unknown threats and gaps - Remediation and mitigation strategies - Tool and configuration recommendations - Runbook and playbook development |
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NEW QUESTION # 26
Security countermeasures for identified risks might include:
Answer: B
NEW QUESTION # 27
IoT device threat analysis must include: (Choose two)
Answer: B,C
NEW QUESTION # 28
A mature SOC notices that several incidents over the past year involved attackers abusing legitimate administrative tools rather than deploying custom malware. Leadership asks the threat hunting team to improve detection coverage in a way that increases attacker cost rather than relying on easily replaceable indicators. Which detection strategy best aligns with this objective?
Answer: A
Explanation:
The correct answer iscorrelating attacker behavior across multiple MITRE ATT&CK techniques. This approach focuses onbehavioral detection, which is the cornerstone of effective threat hunting and advanced security operations.
Attackers who abuse legitimate administrative tools-often referred to asliving-off-the-land techniques- intentionally avoid malware-based detections. File hashes, signatures, and known indicators provide minimal value because there may beno malicious files at all. Options A and D sit at the lowest levels of thePyramid of Pain, making them easy for adversaries to evade.
By correlating behavior across multiple ATT&CK techniques-such as credential access, lateral movement, privilege escalation, and command execution-defenders detecthowthe attacker operates rather thanwhat toolsthey use. This forces adversaries to fundamentally change tradecraft, which is costly, risky, and time- consuming.
Option C improves visibility but does not inherently raise attacker cost. Threat intelligence feeds are reactive and often lag behind active campaigns.
From a professional threat hunting perspective, correlating multiple low-signal behaviors into ahigh- confidence attack patternis how mature SOCs detect stealthy intrusions. This method also supports scalable detection engineering, improved alert fidelity, and reduced false positives.
This strategy directly aligns with higher tiers of theThreat Hunting Maturity Modeland the top of the Pyramid of Pain, making optionBthe correct answer.
NEW QUESTION # 29
Which step in the Threat Hunting process involves analyzing the behavior of the detected threat?
Answer: A
NEW QUESTION # 30
Which of the following techniques can help in Threat Actor Attribution?
Answer: A
NEW QUESTION # 31
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