Welcome to the Sigma main rule repository. The place where detection engineers, threat hunters and all defensive security practitioners collaborate on detection rules. The repository offers more than 3000 detection rules of different type and aims to make reliable detections accessible to all at no cost.
Currently the repository offers three types of rules:
- Generic Detection Rules - Are threat agnostic, their aim is to detect a behavior or an implementation of a technique or procedure that was, can or will be used by a potential threat actor.
- Threat Hunting Rules - Are broader in scope and are meant to give the analyst a starting point to hunt for potential suspicious or malicious activity
- Emerging Threat Rules - Are rules that cover specific threats, that are timely and relevant for certain periods of time. These threats include specific APT campaigns, exploitation of Zero-Day vulnerabilities, specific malware used during an attack,...etc.
To start exploring the Sigma ecosystem, please visit the official website sigmahq.io
Sigma is a generic and open signature format that allows you to describe relevant log events in a straightforward manner. The rule format is very flexible, easy to write and applicable to any type of log file.
The main purpose of this project is to provide a structured form in which researchers or analysts can describe their once developed detection methods and make them shareable with others.
Sigma is for log files what Snort is for network traffic and YARA is for files.
Today, everyone collects log data for analysis. People start working on their own, processing numerous white papers, blog posts and log analysis guidelines, extracting the necessary information and build their own searches and dashboard. Some of their searches and correlations are great and very useful but they lack a standardized format in which they can share their work with others.
Others provide excellent analyses, include IOCs and YARA rules to detect the malicious files and network connections, but have no way to describe a specific or generic detection method in log events. Sigma is meant to be an open standard in which such detection mechanisms can be defined, shared and collected in order to improve the detection capabilities for everyone.
- A continuously growing list of detection and hunting rules, peer reviewed by a community of professional Detection Engineers.
- Vendor agnostic detection rules.
- Easily shareable across communities and reports
To start writing Sigma rules please check the following guides:
Please refer to the CONTRIBUTING guide for detailed instructions on how you can start contributing new rules.
You can download the latest rule packages from the release page and start leveraging Sigma rules today.
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You can start converting Sigma rules today using Sigma CLI or sigconverter.io the GUI interface
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To integrate Sigma rules in your own toolchain or products use pySigma.
If you find a false positive or would like to propose a new detection rule idea but do not have the time to create one, please create a new issue on the GitHub repository by selecting one of the available templates.
- Hack.lu 2017 Sigma - Generic Signatures for Log Events by Thomas Patzke
- MITRE ATT&CK® and Sigma Alerting SANS Webcast Recording
- Sigma - Generic Signatures for SIEM Systems by Florian Roth
- Atomic Threat Coverage (Since December 2018)
- Confluent Sigma - Kafka Streams supported Sigma rules
- IBM QRadar
- Joe Sandbox
- MISP (Since Version 2.4.70, March 2017)
- Nextron's Aurora Agent
- Nextron's THOR Scanner - Scan with Sigma rules on endpoints
- RANK VASA
- Sekoia.io XDR - XDR supporting Sigma and Sigma Correlation rules languages
- SIΣGMA - SIEM consumable generator that utilizes Sigma for query conversion
- sigma2stix - Converts the entire SigmaHQ Ruleset into STIX 2.1 Objects.
- SOC Prime
- TA-Sigma-Searches (Splunk App)
- TimeSketch
- ypsilon - Automated Use Case Testing
- alterix - Converts Sigma rules to the query language of CRYPTTECH's SIEM
- Nasreddine Bencherchali (@nas_bench)
- Florian Roth (@cyb3rops)
- Christian Burkard (@phantinuss)
- François Hubaut (@frack113)
- Thomas Patzke (@blubbfiction)
This project would've never reached this height without the help of the hundreds of contributors. Thanks to all past and present contributors for their help.
The content of this repository is released under the Detection Rule License (DRL) 1.1.