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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Threat Modeling Techniques | 10% | - Select appropriate threat modeling approaches based on scenarios - Utilize threat intelligence effectively, focusing on gathering, cataloging, and utilizing intelligence - Explore structured and unstructured threat hunting, determining priorities based on the Cyber Kill Chain and MITRE ATT&CK - Model threats using MITRE ATT&CK, understanding tactics, techniques, and procedures |
| Topic 2: Threat Actor Attribution Techniques | 20% | - Identify tactics, techniques, and procedures (TTPs) from logs - Interpret threat actor TTPs and assess delivery methods - Utilize the Pyramid of Pain to detect advanced persistent threats - Determine how to identify and differentiate between authorized assessments and attacks |
| Topic 3: Threat Hunting Fundamentals | 20% | - Define cyber threat hunting process fundamentals - Define threat hunting methodologies and procedures - Identify and review endpoint-based threat hunting - Describe network-based threat hunting - Define threat hunting and identify core concepts used to conduct threat hunting investigations - Examine threat hunting investigation concepts, frameworks, and threat models - Identify and review endpoint memory-based threats and develop detection strategies |
| Topic 4: Threat Hunting Techniques | 20% | - Detect malicious processes on endpoints - Conduct threat hunting using Cisco Secure Firewall, Cisco Secure Network Analytics, and Splunk - Conduct threat hunt using Cisco XDR Control Center and investigate - Identify suspicious files using threat analysis |
| Topic 5: Threat Hunting Processes | 20% | - Threat hunting outcomes and reporting - Initiate, conduct, and conclude a threat hunt |
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NEW QUESTION # 55
What is a limitation of automated dynamic malware analysis tools?
Answer: A
Explanation:
The correct answer isThey produce false positives and false negatives. Automated dynamic malware analysis tools, such as sandboxes, execute suspicious files in isolated environments to observe runtime behavior. While these tools are extremely valuable in modern SOCs, they are not infallible and have well- known limitations.
False positives occur when benign software exhibits behaviors that resemble malicious activity, such as creating registry keys, spawning child processes, or making network connections. Conversely, false negatives occur when malware intentionallyevades detectionby altering its behavior. Many modern malware samples include sandbox evasion techniques such as checking for virtualized environments, delaying execution, requiring user interaction, or disabling malicious functionality when analysis artifacts are detected.
Option A is incorrect because dynamic analysis can, in fact, uncover runtime vulnerabilities and exploit behavior. Option C is misleading; while tooling coverage varies, language support is not the primary limitation. Option D refers tomanual analysis, whereas the question explicitly addresses automated tools.
From a threat hunting and malware analysis standpoint, professionals understand that sandbox results must be correlated with other telemetry, including endpoint behavior, network traffic, and threat intelligence.
Automated tools are best used as part of a layered analysis strategy, not as a single source of truth.
This limitation reinforces a core security principle:automation accelerates detection, but human judgment validates impact. Skilled analysts interpret sandbox results, investigate anomalies, and determine real-world risk. Understanding the strengths and weaknesses of dynamic analysis tools allows SOC teams to avoid overreliance on automation while still benefiting from its speed and scale.
NEW QUESTION # 56
What is the key benefit of understanding threat actor attribution techniques?
Answer: A
NEW QUESTION # 57
Which threat hunting technique focuses on analyzing network traffic to detect and prevent threats?
Answer: B
NEW QUESTION # 58
Which of the following is a common method for detecting phishing attacks in threat hunting techniques?
Answer: A
NEW QUESTION # 59
Memory-resident attacks can be analyzed using which tool?
Answer: C
NEW QUESTION # 60
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