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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Threat Hunting Fundamentals | 20% | - Describe network-based threat hunting - Define cyber threat hunting process fundamentals - Define threat hunting methodologies and procedures - Identify and review endpoint-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 2: Threat Hunting Techniques | 20% | - Identify suspicious files using threat analysis - Conduct threat hunt using Cisco XDR Control Center and investigate - Conduct threat hunting using Cisco Secure Firewall, Cisco Secure Network Analytics, and Splunk - Detect malicious processes on endpoints |
| Topic 3: Threat Modeling Techniques | 10% | - 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 - Utilize threat intelligence effectively, focusing on gathering, cataloging, and utilizing intelligence - Select appropriate threat modeling approaches based on scenarios |
| Topic 4: Threat Hunting Processes | 20% | - Threat hunting outcomes and reporting - Initiate, conduct, and conclude a threat hunt |
| Topic 5: Threat Actor Attribution Techniques | 20% | - Utilize the Pyramid of Pain to detect advanced persistent threats - Interpret threat actor TTPs and assess delivery methods - Identify tactics, techniques, and procedures (TTPs) from logs - Determine how to identify and differentiate between authorized assessments and attacks |
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問題 #51
What is the role of machine learning in threat hunting techniques?
答案：D
問題 #52
A security team wants to create a plan to protect companies from lateral movement attacks. The team already implemented detection alerts for pass-the-hash and pass-the-ticket techniques. Which two components must be monitored to hunt for lateral movement attacks on endpoints? (Choose two.)
答案：C,D
解題說明：
The correct answers areUse of Windows Remote Management (C)andUse of tools and commands to connect to remote shares (E). Both are core mechanisms attackers leverage forlateral movementafter gaining valid credentials through techniques such as pass-the-hash or pass-the-ticket.
Windows Remote Management (WinRM) is a legitimate administrative service used for remote command execution and system management. However, attackers frequently abuse WinRM to move laterally by executing commands on remote endpoints using stolen credentials. From a threat hunting perspective, abnormal WinRM usage-such as execution outside normal administrative hours, from unusual source hosts, or by non-administrative user accounts-is a strong indicator of lateral movement activity.
Similarly, the use of tools and commands to connect to remote shares (such as net use, wmic, SMB-based access, or mounting administrative shares like C$) is a classic lateral movement technique. Attackers use remote shares to transfer tools, stage payloads, and execute malware across systems. Monitoring these activities at the endpoint level helps identify suspicious authentication attempts, unexpected share access, and abnormal file transfers.
Option A (runas) relates more to privilege escalation than lateral movement. Option B is specific to Linux privilege persistence and is not relevant to endpoint lateral movement hunting in this context. Option D (scheduled task creation) is primarily associated with persistence rather than movement between systems.
By monitoring WinRM activity and remote share usage, security teams gain visibility intocredential-based movement, which remains one of the most common and dangerous attacker behaviors in enterprise environments. Effective lateral movement hunting focuses onhow credentials are used, not just how they are stolen.
問題 #53
What role does Threat Intelligence play in Threat Actor Attribution?
答案：C
問題 #54
Refer to the exhibit.
A security team detects a spike in traffic from the company web server. After further investigation, the team discovered that multiple connections have been established from the server to different IP addresses, but the web server logs contain both expected traffic and DDoS traffic. Which attribute must the team use to further filter the logs?
答案：C
解題說明：
The correct answer isConnection status. In this scenario, the key challenge for the security team is differentiatinglegitimate outbound trafficfrommalicious or DDoS-related trafficoriginating from the same web server. Since both types of traffic coexist in the logs, analysts must rely on an attribute that meaningfully distinguishes normal behavior from abnormal patterns.
The exhibit shows numerous TCP connections from the web server to many different external IP addresses, with varyingTCP statessuch as ESTABLISHED, TIME_WAIT, and FIN_WAIT. These connection states are highly valuable for threat hunting and network analysis. During DDoS activity-especially reflected or amplification-style attacks, or when a server is abused as part of an attack-connections often remain half- open, rapidly transition to TIME_WAIT, or fail to fully establish. In contrast, legitimate web traffic typically results in stable, short-lived ESTABLISHED sessions that follow predictable patterns.
Option B (destination port) is not useful here because most web traffic-both legitimate and malicious- commonly uses ports 80 or 443. Option C (IP address of the web server) provides no filtering value because all traffic already originates from that server. Option D (protocol) is also ineffective, as both normal and DDoS traffic in this case use TCP.
From a professional SOC and threat hunting standpoint,connection state analysisis a foundational technique for detecting volumetric attacks, beaconing behavior, and abnormal session churn. By filtering logs based on connection status, analysts can quickly isolate suspicious patterns such as excessive short-lived connections, abnormal teardown behavior, or asymmetric session states that are characteristic of DDoS-related activity.
This approach aligns with mature threat hunting practices:when indicators overlap, pivot to behavioral attributes. Connection status provides the necessary behavioral signal to separate expected traffic from attack traffic and supports faster, more accurate incident response.
問題 #55
Python scripts in threat hunting are used for:
答案：B
問題 #56
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