Writing Detections with Sigma and YARA: A Beginner’s Guide

Sigma and YARA rules are two of the most important formats for sharing and writing detections. This is Module 18 of The Complete Blue Team Course.

Sigma for Log-Based Detection

Sigma is a generic, platform-independent syntax for log-based detection rules, which can be translated into the query language of a specific SIEM. That means detection logic can be shared, version-controlled, and reused across tools instead of being locked into one platform.

YARA for File and Memory Pattern Matching

YARA rules match patterns in files or memory: strings, byte sequences, and structural features. They are a core tool for both malware detection and threat hunting across many endpoints or a collection of samples.

Which One Should I Use?

  • Use Sigma when the evidence is in logs, such as process creation or authentication events.
  • Use YARA when the evidence is in a file or a memory image.

Testing Before Deploying

A rule that has not been tested against both real malicious samples and a sample of normal, legitimate activity is a guess, not a detection. Validating against both sides is what keeps false positive rates manageable as a detection program scales.

Good Habits for Detection Engineers

  • Store rules in version control.
  • Map each rule to an ATT&CK technique.
  • Document what the rule detects and known false positives.

Key Takeaways

  • Sigma is for logs; YARA is for files and memory.
  • Both let you share and reuse detection logic.
  • Always test on malicious and benign data.

Frequently Asked Questions

Are Sigma rules tied to one SIEM?

No. They are platform-independent and can be converted to many SIEM query languages.

Is YARA only for malware?

It is most common for malware, but it can match patterns in any file or memory content.

Get the Full Blue Team Course

This is a free preview of Module 18. The complete 22-module course, from SOC fundamentals and SIEM to threat hunting, incident response, detection engineering, and career paths, is available as a one-time $1 download.

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