SPLK-5001 Exam Dumps : Splunk Certified Cybersecurity Defense Analyst

Thefile_aclfield, which contains access controls associated with files affected by an event, is part of theEndpointdata model in Splunk. The Endpoint data model is designed to include information related to file access, process activity, and user activity on endpoints. Fields likefile_aclare critical for understanding permissions and potential security risks associated with file access and manipulation, which are key aspects of endpoint security monitoring.

Pyramid of Pain Overview:The Pyramid of Pain categorizes indicators based on how difficult they are for attackers to alter:

Hash Values (Low Impact):Attackers can easily change a file's hash by altering even a single byte, rendering this indicator obsolete.

IP Addresses, Domain Names (Moderate Impact):Slightly harder to change than hash values but still relatively easy for attackers to adapt.

TTPs (High Impact):Tactics, Techniques, and Procedures are the most difficult for attackers to alter because they involve the fundamental ways attackers operate. Detecting and responding to TTPs can significantly disrupt an attacker’s strategy.

Why Hash Values Are Least Effective:

Ease of Evasion:Attackers can quickly generate new hash values by modifying files, making it a weak indicator for continuous monitoring.

Short Lifespan:Once detected and blocked, a hash value is of limited use because attackers can simply recompile or pack the malware to create a new hash.

The Common Information Model (CIM) in Splunk is a crucial component that allows for the normalization and standardization of data across various sources. By using CIM, disparate data sources can be mapped to a common schema, which makes it significantly easier to correlate and analyze data across different logs and systems.

Purpose of CIM:CIM provides a standardized format for fields and event types across various data sources in Splunk. This normalization allows analysts to use consistent field names and structures when performing searches, regardless of the original data source's format.

Benefit of Easier Correlation:One of the primary challenges in security operations is correlating data from different sources—like firewalls, intrusion detection systems (IDS), endpoint security solutions, and network logs—to identify potential security incidents. CIM facilitates this by ensuring that all relevant data adheres to a common schema, enabling seamless correlation and analysis. For example, CIM allows a security analyst to write a single query that can apply to data from multiple sources, simplifying the detection of complex threats.

How it Works:CIM is implemented through data models in Splunk, which act as a blueprint for mapping and transforming raw data into a structured format. These data models cover a wide range of security domains, such as authentication, network traffic, and malware, ensuring that data from different security tools can be easily integrated and analyzed together.

Use Cases:The primary use cases for CIM include:

Search and Reporting:Creating efficient and standardized searches that apply across multiple data sources.

Dashboards and Visualizations:Building dashboards that pull in data from various sources in a consistent manner.

Correlation Searches:Developing correlation searches that detect patterns or anomalies across different types of data, enhancing threat detection.