Question # 1
| Which of the following is a tactic used by attackers, rather than a technique?
| | A. Gathering information about a target.
| | B. Establishing persistence with a scheduled task.
| | C. Using a phishing email to gain initial access.
| | D. Escalatingprivileges via UAC bypass.
|
A. Gathering information about a target.
Question # 2
| A Risk Notable Event has been triggered in Splunk Enterprise Security, an analyst
investigates the alert, and determines it is a false positive. What metric would be used to
define the time between alert creation and close of the event? | | A. MTTR (Mean Time to Respond)
| | B. MTBF (Mean Time Between Failures)
| | C. MTTA (Mean Time to Acknowledge)
| | D. MTTD (Mean Time to Detect) |
A. MTTR (Mean Time to Respond)
Explanation: In incident response and cybersecurity operations, Mean Time to Respond
(MTTR) is a key metric. It measures the average time it takes from when an alert is created
to when it is resolved or closed. In the scenario, an analyst identifies a Risk Notable Event
as a false positive and closes it; the time taken from the alert's creation to its closure is
what MTTR measures. This metric is crucial in understanding how efficiently a security
team responds to alerts and incidents, thus contributing to overall security posture
improvement.
Question # 3
| Tactics, Techniques, and Procedures (TTPs) are methods or behaviors utilized by
attackers. In which framework are these categorized? | | A. NIST 800-53
| | B. ISO 27000
| | C. CIS18
| | D. MITRE ATT&CK |
D. MITRE ATT&CK
Explanation: The MITRE ATT&CK framework categorizes Tactics, Techniques, and
Procedures (TTPs) used by attackers. It is a globally accessible knowledge base of
adversarial tactics and techniques based on real-world observations, and it is widely used
by cybersecurity professionals to understand and defend against various cyber threats.
Tactics, Techniques, and Procedures (TTPs):
MITRE ATT&CK Framework: MITRE ATT&CK organizes these TTPs into a matrix
that reflects different stages of an attack lifecycle, from initial access to exfiltration.
The framework helps security teams by:
Why MITRE ATT&CK: Unlike compliance-focused frameworks like NIST 800-53 or
ISO 27000, which provide security controls and best practices, MITRE ATT&CK is
specifically focused on the behavior of adversaries. This focus makes it an
invaluable resource for understanding how attacks unfold and how to counteract
them.
MITRE ATT&CK Website: The official site provides detailed information on each
tactic and technique, along with examples of how they have been used in realworld
attacks.
Threat Intelligence Platforms: Many platforms integrate with MITRE ATT&CK,
providing enhanced detection and response capabilities by mapping security
events to the framework.
Security Research Papers: Numerous papers and reports analyze specific attacks
using the ATT&CK framework, offering insights into its practical applications in
cybersecurity defense.
Question # 4
| According to Splunk CIM documentation, which field in the Authentication Data Model represents the user who initiated a privilege escalation? | | A. username | | B. src_user_id | | C. src_user | | D. dest_user |
C. src_user
Explanation:
According to Splunk CIM (Common Information Model) documentation, thesrc_userfield in the Authentication Data Model represents the user who initiated an action, including privilege escalation. This field is used to track the source user responsible for generating an authentication event, which is critical in understanding and responding to potential security incidents involving privilege escalation. The other fields likedest_userorusernamehave different roles, focusing on the target of the action or the general username involved.
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Question # 5
| A Cyber Threat Intelligence (CTI) team delivers a briefing to the CISO detailing their view of the threat landscape the organization faces. This is an example of what type of Threat Intelligence? | | A. Tactical | | B. Strategic | | C. Operational | | D. Executive |
B. Strategic
Explanation:
A briefing delivered by a Cyber Threat Intelligence (CTI) team to a Chief Information Security Officer (CISO) detailing the overall threat landscape is an example ofStrategicThreat Intelligence. Strategic intelligence focuses on high-level analysis of broader trends, threat actors, and potential risks to the organization over time. It is designed to inform senior leadership and influence long-term security strategies and policies. This contrasts withTacticalintelligence, which deals with immediate threats and actionable information, andOperationalintelligence, which is more focused on the details of specific threat actors or campaigns.
Question # 6
| The field file_acl contains access controls associated with files affected by an event. In which data model would an analyst find this field?
| | A. Malware | | B. Alerts | | C. Vulnerabilities
| | D. Endpoint |
D. Endpoint
Question # 7
| What is the main difference between hypothesis-driven and data-driven Threat Hunting? | | A. Data-driven hunts always require more data to search through than hypothesis-driven
hunts. | | B. Data-driven hunting tries to uncover activity within an existing data set, hypothesisdriven
hunting begins with a potential activity that the hunter thinks may be happening. | | C. Hypothesis-driven hunts are typically executed on newly ingested data sources, while
data-driven hunts are not. | | D. Hypothesis-driven hunting tries to uncover activity within an existing data set, datadriven
hunting begins with an activity that the hunter thinks may be happening. |
B. Data-driven hunting tries to uncover activity within an existing data set, hypothesisdriven
hunting begins with a potential activity that the hunter thinks may be happening.
Explanation: The main difference between hypothesis-driven and data-driven threat
hunting lies in the approach. Inhypothesis-drivenhunting, the hunter starts with a theory or hypothesis about what kind of malicious activity might be occurring and then searches the
data to confirm or refute that hypothesis. On the other hand,data-drivenhunting involves
sifting through existing datasets to uncover patterns, anomalies, or activities that were not
initially suspected. Hypothesis-driven approaches are more focused and often guided by
threat intelligence or knowledge of attacker behaviors, while data-driven approaches rely
on broad data analysis to identify unexpected threats.
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