SPLK-5001 Exam Dumps - Splunk Certified Cybersecurity Defense Analyst

TheEnterprise Security Content Update (ESCU)app is a pre-packaged app that delivers security content and detections on a regular, ongoing basis for Splunk Enterprise Security (ES) and Splunk SOAR. ESCU provides regular updates with new correlation searches, dashboards, and other content that help organizations stay up-to-date with the latest threats and detection techniques. This app is specifically designed to enhance the capabilities of Splunk ES by providing out-of-the-box security content that can be customized and used immediately.

NetFlow data is a powerful data source for monitoring and analyzing network traffic patterns within an organization. It provides detailed information about the flow of data between devices on a network, including source and destination IP addresses, ports, and protocols. By analyzing NetFlow data, security analysts can detect unusual communication patterns that may indicate malicious activity, such as lateral movement, data exfiltration, or communication with command and control servers. Other options like EDS (Endpoint Detection Systems), Email, and IAM (Identity and Access Management) are also valuable, but NetFlow is specifically designed for network traffic analysis.

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In Splunk Enterprise Security, theRisk Event Timelineprovides a chronological view of risk events associated with a particular Risk Object, such as a user or device. This timeline helps analysts visualize and understand the sequence and nature of risk events over time, aiding in the investigation of security incidents.

Risk Event Timeline:

The Risk Event Timeline is accessible by clicking the risk event count associated with a Risk Object in the Incident Review dashboard. This action opens up the timeline view, which provides a detailed chronological perspective on how risk events have unfolded.

This feature is particularly useful for tracking the progression of threats and understanding the context of incidents.

Incorrect Options:

A. Running the Risk Analysis Adaptive Response action within the Notable Event:This option pertains to running a response action rather than visualizing risk events over time.

B. Via a workflow action for the Risk Investigation dashboard:Although workflow actions can lead to various dashboards, the specific visualization described is accessed via the Risk Event Timeline.

C. Via the Risk Analysis dashboard under the Security Intelligence tab in Enterprise Security:While this dashboard provides valuable insights into risk data, the specific chronological visualization is found in the Risk Event Timeline.

Splunk Documentation:Risk Event Timeline in Splunk Enterprise Security provides step-by-step details on how to access and interpret the timeline.

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The scenario describes an attack where thousands of failed login attempts are made using various usernames and passwords, which is indicative of aCredential Stuffingattack. This type of attack involves using lists of stolen credentials (usernames and passwords) obtained from previous data breaches to attempt to gain unauthorized access to user accounts. Attackers take advantage of the fact that many users reuse passwords across multiple sites. UnlikePassword Spraying(which tries a few common passwords against many accounts) orPassword Cracking(which tries to guess or decrypt passwords), credential stuffing leverages large datasets of valid credentials obtained from other breaches.

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A threat hunt is an iterative process where a hypothesis is developed and tested against data in an environment to detect the presence of threats or adversarial tactics, techniques, and procedures (TTPs).

Understanding the Hypothesis:

The hypothesis here is that a threat actor might userundll32for proxy execution of malicious code and leverage Cobalt Strike for command and control (C2).

The hunt would involve looking for indicators of these specific activities in logs and artifacts like Sysmon logs, netflow, IDS alerts, and EDR data.

Search and Analysis:

The threat hunter performed an extensive search across multiple log sources and found no evidence of Cobalt Strike or the specific malicious activities hypothesized.

Evaluation of the Hypothesis:

If the hypothesis were proven true,the presence of Cobalt Strike or related artifacts would be detected.

However, the hypothesis was not proven; instead, the hunt provided strong evidence that Cobalt Strike and the hypothesized malicious activities are not present.

Successful Threat Hunt:

The goal of threat hunting is not always to find a threat but to gain confidence in the security posture of the environment.

Outcome Dcorrectly identifies that the hunt was successful because it provided strong evidence supporting the absence of the hypothesized threat, thus improving confidence in the organization's security.

MITRE ATT&CK Framework:Understanding how threat actors utilize tactics like Cobalt Strike for C2 can be aligned with TTPs in the framework, helping to build effective hypotheses.

Threat Hunting Resources:Books like "The Threat Hunter's Handbook" often describe scenarios where proving a negative (i.e., the absence of a threat) is a valid and successful outcome of a hunt.

Outcome of the Threat Hunt:References:

The Lockheed Martin Cyber Kill Chain® is a widely recognized framework that breaks down the stages of a cyber attack. The stages are: Reconnaissance, Weaponization, Delivery, Exploitation, Installation, Command and Control (C2), and Actions on Objectives. The scenario described—modifying the registry on a compromised Windows system to ensure malware runs at boot time—fits into theInstallationphase. This phase involves placing a persistent backdoor or other malicious software on the victim's system, ensuring it can be executed again, even after a system reboot. By modifying the registry, the attacker is achieving persistence, a classic example of the Installation phase.

The log entry indicates aPOST /cgi-bin/shutdown/request, which suggests that a command was sent to shut down the server via a CGI script. This kind of activity is indicative of aDenial of Service (DoS) attackbecause it involves sending a specific command that causes the server to stop functioning or shut down. This is different from a Distributed Denial of Service (DDoS) attack, which typically involves overwhelming the server with traffic rather than exploiting a specific command.

TheRisk Frameworkin Splunk Enterprise Security is designed to raise the threat profile of individuals or assets based on their activities. It allows security teams to assign risk scores to users or devices that engage in suspicious or anomalous behaviors, making it easier to identify entities that may require further investigation.

Risk Framework:

This framework aggregates risk events and calculates risk scores that help in prioritizing alerts and focusing on high-risk entities within the organization.

By identifying and raising the profile of entities involved in suspicious activities, it enables proactive threat detection and response.

Incorrect Options:

A. Threat Intelligence Framework:Integrates threat intelligence feeds but does not directly handle risk scoring of assets.

C. Notable Event Framework:Manages notable events but is not focused on risk profiling.

D. Asset and Identity Framework:Manages asset and identity data, linking them with events, but does not perform risk scoring.

Splunk Documentation:Detailed information on the Risk Framework and how it integrates with other security features in Splunk ES.

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