New Job-Role Training Path: Active Directory Penetration Tester! Learn More

YARA & Sigma for SOC Analysts

This Hack The Box Academy module covers how to create YARA rules both manually and automatically and apply them to hunt threats on disk, live processes, memory, and online databases. Then, the module switches gears to Sigma rules covering how to build Sigma rules, translate them into SIEM queries using "sigmac", and hunt threats in both event logs and SIEM solutions. It's all hands-on, using real-world malware and techniques.

4.69

Created by MadhukarRaina
Co-Authors: XORc1st

Easy Defensive

Summary

The "YARA & Sigma for SOC Analysts" module starts with explaining why YARA and Sigma rules are total game-changers for anyone in a SOC role.

We crack open YARA's rule anatomy, teaching you how to whip up your own YARA rules, whether that's manually or automatically. Then the module teaches how to put those skills to use, scanning directories, live Windows processes, memory images, and even online malware databases using YARA rules.

Then, we pivot to Sigma's rule blueprint, slice it open, and guide you through crafting Sigma rules yourself. Why? So you can put your SIEM system to work, translating Sigma rules into search queries with the use of the "sigmac" utility. By mastering Sigma, you'll be equipped to ferret out threats buried deep in both event logs and your SIEM setup.

Note that this module provides the opportunity to apply YARA and Sigma rules against genuine malware examples and techniques used in the wild today.

This module is broken into sections with accompanying hands-on exercises to practice the techniques we cover. The module ends with a practical hands-on skills assessment to gauge your understanding of the various topic areas.

As you work through the module, you will see detection activities for the topics introduced. It is worth reproducing as many of these activities as possible to reinforce further the concepts presented in each section. You can do this in the target host provided in the interactive sections or your virtual machine.

You can start and stop the module anytime and pick up where you left off. There is no time limit or "grading," but you must complete all of the exercises and the skills assessment to receive the maximum number of cubes and have this module marked as complete in any paths you have chosen.

The module is classified as "easy" and assumes basic knowledge of how Windows operate and common attack principles.

A firm grasp of the following modules can be considered prerequisites for successful completion of this module:

  • Understanding Log Sources & Investigating with Splunk
  • Windows Event Logs & Finding Evil
  • Introduction to Malware Analysis

Introduction to YARA & Sigma

YARA and Sigma are two essential tools used by SOC analysts to enhance their threat detection and incident response capabilities. They empower analysts with improved threat detection capabilities, efficient log analysis, malware detection and classification, IOC identification, collaboration, customization, and integration with existing security tools.

Both YARA and Sigma rules grant SOC analysts potent capabilities to detect and respond to security threats. YARA excels in file and memory analysis, as well as pattern matching, whereas Sigma is particularly adept at log analysis and SIEM systems.

These detection rules utilize conditional logic applied to logs or files. Analysts craft these rules to pinpoint suspicious activities in logs or match patterns in files. These rules are pivotal in making detections more straightforward to compose, and thus, they constitute a crucial element of an effective threat detection strategy. Both YARA and Sigma adhere to standard formats that facilitate the creation and sharing of detection rules within the cybersecurity community.

Importance of YARA and Sigma rules for SOC Analysts

Let's explore the key reasons why YARA and Sigma are invaluable for SOC analysts:

  • Enhanced Threat Detection: YARA and Sigma rules allow SOC analysts to develop customized detection rules tailored to their unique environment and security needs. These rules empower analysts to discern patterns, behaviors, or indicators linked to security threats, thus enabling them to proactively detect and address potential incidents. Various Github repositories provide a wealth of examples of YARA and Sigma rules.
  • Efficient Log Analysis: Sigma rules are essential for log analysis in a SOC setting. Utilizing Sigma rules, analysts can filter and correlate log data from disparate sources, concentrating on events pertinent to security monitoring. This minimizes irrelevant data and enables analysts to prioritize their investigative efforts, leading to more efficient and effective incident response. An open-source tool called Chainsaw can be used to apply Sigma rules to event log files.
  • Collaboration and Standardization: YARA and Sigma offer standardized formats and rule structures, fostering collaboration among SOC analysts and tapping into the collective expertise of the broader cybersecurity community. This encourages knowledge sharing, the formulation of best practices, and keeps analysts abreast of cutting-edge threat intelligence and detection methodologies. For instance, "The DFIR Report" shares YARA and Sigma rules derived from their investigations.
  • Integration with Security Tools: YARA and Sigma rules can be integrated seamlessly with a plethora of security tools, including SIEM platforms, log analysis systems, and incident response platforms. This integration enables automation, correlation, and enrichment of security events, allowing SOC analysts to incorporate the rules into their existing security infrastructure. As an example, Uncoder.io facilitates the conversion of Sigma rules into tailor-made, performance-optimized queries ready for deployment in the chosen SIEM and XDR systems.
  • Malware Detection and Classification: YARA rules are particularly useful for SOC analysts in pinpointing and classifying malware. Leveraging YARA rules, analysts can create specific patterns or signatures that correspond to known malware traits or behaviors. This aids in the prompt detection and mitigation of malware threats, bolstering the organization's overall security posture.
  • Indicator of Compromise (IOC) Identification: Both YARA and Sigma rules empower SOC analysts to locate and identify IOCs, which are distinct artifacts or behaviors linked to security incidents or breaches. By embedding IOCs into their rules, analysts can swiftly detect and counter potential threats, thus mitigating the consequences of security incidents and curtailing the duration of attackers' presence within the network.

Sign Up / Log In to Unlock the Module

Please Sign Up or Log In to unlock the module and access the rest of the sections.

Sections

Relevant Paths

This module progresses you towards the following Paths

SOC Analyst

SOC Analyst

The SOC Analyst Job Role Path is for newcomers to information security who aspire to become professional SOC analysts. This path covers core security monitoring and security analysis concepts and provides a deep understanding of the specialized tools, attack tactics, and methodology used by adversaries. Armed with the necessary theoretical background and multiple practical exercises, students will go through all security analysis stages, from traffic analysis and SIEM monitoring to DFIR activities and reporting. Upon completing this job role path, you will have obtained the practical skills and mindset necessary to monitor enterprise-level infrastructure and detect intrusions at an intermediate level. The SOC Analyst Prerequisites skill path can be considered prerequisite knowledge to be successful while working through this job role path.

Medium Path Sections 165 Sections
Required: 1220
Reward: +260
Path Modules
Incident Handling Process
Fundamental
Path Sections 9 Sections
Reward: +10
Security Incident handling has become a vital part of each organization's defensive strategy, as attacks constantly evolve and successful compromises are becoming a daily occurrence. In this module, we will review the process of handling an incident from the very early stage of detecting a suspicious event, to confirming a compromise and responding to it.
Security Monitoring & SIEM Fundamentals
Easy
Path Sections 11 Sections
Reward: +20
This module provides a concise yet comprehensive overview of Security Information and Event Management (SIEM) and the Elastic Stack. It demystifies the essential workings of a Security Operation Center (SOC), explores the application of the MITRE ATT&CK framework within SOCs, and introduces SIEM (KQL) query development. With a focus on practical skills, students will learn how to develop SIEM use cases and visualizations using the Elastic Stack.
Windows Event Logs & Finding Evil
mini module tag Mini-Module
Medium
Path Sections 6 Sections
Reward: +20
This module covers the exploration of Windows Event Logs and their significance in uncovering suspicious activities. Throughout the course, we delve into the anatomy of Windows Event Logs and highlight the logs that hold the most valuable information for investigations. The module also focuses on utilizing Sysmon and Event Logs for detecting and analyzing malicious behavior. Additionally, we delve into Event Tracing for Windows (ETW), explaining its architecture and components, and provide ETW-based detection examples. To streamline the analysis process, we introduce the powerful Get-WinEvent cmdlet.
Introduction to Threat Hunting & Hunting With Elastic
mini module tag Mini-Module
Medium
Path Sections 6 Sections
Reward: +20
This module initially lays the groundwork for understanding Threat Hunting, ranging from its basic definition, to the structure of a threat hunting team. The module also dives into the threat hunting process, highlighting the interrelationships between threat hunting, risk assessment, and incident handling. Furthermore, the module elucidates the fundamentals of Cyber Threat Intelligence (CTI). It expands on the different types of threat intelligence and offers guidance on effectively interpreting a threat intelligence report. Finally, the module puts theory into practice, showcasing how to conduct threat hunting using the Elastic stack. This practical segment uses real-world logs to provide learners with hands-on experience.
Understanding Log Sources & Investigating with Splunk
mini module tag Mini-Module
Medium
Path Sections 6 Sections
Reward: +20
This module provides a comprehensive introduction to Splunk, focusing on its architecture and the creation of effective detection-related SPL (Search Processing Language) searches. We will learn to investigate with Splunk as a SIEM tool and develop TTP-driven and analytics-driven SPL searches for enhanced threat detection and response. Through hands-on exercises, we will learn to identify and understand the ingested data and available fields within Splunk. We will also gain practical experience in leveraging Splunk's powerful features for security monitoring and incident investigation.
Windows Attacks & Defense
Medium
Path Sections 16 Sections
Reward: +20
Microsoft Active Directory (AD) has been, for the past 20+ years, the leading enterprise domain management suite, providing identity and access management, centralized domain administration, authentication, and much more. Throughout those years, the more integrated our applications and data have become with AD, the more exposed to a large-scale compromise we have become. In this module, we will walk through the most commonly abused and fruitful attacks against Active Directory environments that allow threat actors to perform horizontal and vertical privilege escalations in addition to lateral movement. One of the module's core goals is to showcase prevention and detection methods against the covered Active Directory attacks.
Intro to Network Traffic Analysis
Medium
Path Sections 15 Sections
Reward: +10
Network traffic analysis is used by security teams to monitor network activity and look for anomalies that could indicate security and operational issues. Offensive security practitioners can use network traffic analysis to search for sensitive data such as credentials, hidden applications, reachable network segments, or other potentially sensitive information "on the wire." Network traffic analysis has many uses for attackers and defenders alike.
Intermediate Network Traffic Analysis
Easy
Path Sections 18 Sections
Reward: +20
Through network traffic analysis, this module sharpens skills in detecting link layer attacks such as ARP anomalies and rogue access points, identifying network abnormalities like IP spoofing and TCP handshake irregularities, and uncovering application layer threats from web-based vulnerabilities to peculiar DNS activities.
Working with IDS/IPS
Medium
Path Sections 11 Sections
Reward: +20
This module offers an in-depth exploration of Suricata, Snort, and Zeek, covering both rule development and intrusion detection. We'll guide you through signature-based and analytics-based rule development, and you'll learn to tackle encrypted traffic. The module features numerous hands-on examples, focusing on the detection of prevalent malware such as PowerShell Empire, Covenant, Sliver, Cerber, Dridex, Ursnif, and Patchwork. We also dive into detecting attacking techniques like DNS exfiltration, TLS/HTTP Exfiltration, PsExec lateral movement, and beaconing through IDS/IPS.
Introduction to Malware Analysis
Hard
Path Sections 9 Sections
Reward: +20
This module offers an exploration of malware analysis, specifically targeting Windows-based threats. The module covers Static Analysis utilizing Linux and Windows tools, Malware Unpacking, Dynamic Analysis (including malware traffic analysis), Reverse Engineering for Code Analysis, and Debugging using x64dbg. Real-world malware examples such as WannaCry, DoomJuice, Brbbot, Dharma, and Meterpreter are analyzed to provide practical experience.
JavaScript Deobfuscation
Easy
Path Sections 11 Sections
Reward: +10
This module will take you step-by-step through the fundamentals of JavaScript Deobfuscation until you can deobfuscate basic JavaScript code and understand its purpose.
YARA & Sigma for SOC Analysts
Easy
Path Sections 11 Sections
Reward: +20
This Hack The Box Academy module covers how to create YARA rules both manually and automatically and apply them to hunt threats on disk, live processes, memory, and online databases. Then, the module switches gears to Sigma rules covering how to build Sigma rules, translate them into SIEM queries using "sigmac", and hunt threats in both event logs and SIEM solutions. It's all hands-on, using real-world malware and techniques.
Introduction to Digital Forensics
Medium
Path Sections 8 Sections
Reward: +20
Dive into Windows digital forensics with Hack The Box Academy's "Introduction to Digital Forensics" module. Gain mastery over core forensic concepts and tools such as FTK Imager, KAPE, Velociraptor, and Volatility. Dive deep into memory forensics, disk image analysis, and rapid triaging procedures. Learn to construct timelines from MFT, USN Journals, and Windows event logs while getting hands-on with key artifacts like MFT, USN Journal, Registry Hives, Prefetch Files, ShimCache, Amcache, BAM, and SRUM data.
Detecting Windows Attacks with Splunk
Medium
Path Sections 23 Sections
Reward: +20
This Hack The Box Academy module is focused on pinpointing attacks on Windows and Active Directory. Utilizing Splunk as the cornerstone for investigation, this training will arm participants with the expertise to adeptly identify Windows-based threats leveraging Windows Event Logs and Zeek network logs. Furthermore, participants will benefit from actual PCAP files associated with the discussed Windows and Active Directory attacks, enhancing their understanding of the respective attack patterns and techniques.
Security Incident Reporting
mini module tag Mini-Module
Easy
Path Sections 5 Sections
Reward: +10
Tailored to provide a holistic understanding, this Hack The Box Academy module ensures participants are adept at identifying, categorizing, and documenting security incidents with utmost accuracy and professionalism. The module meticulously breaks down the elements of a robust incident report and then presents participants with a real-world incident report, offering practical insights into the application of the concepts discussed.