This repository serves as an open, collaborative validation space for Suricata rules generated autonomously by ARPSyndicate's Vulnerability & Exploit Data Aggregation System (VEDAS).
While such AI enables rapid, large-scale creation of detection rules from vulnerability and exploit intelligence, reliable security detection requires transparency, human review, and real-world testing.
By making these AI-generated rules openly available, we hope to enable the security community to review, validate, and improve detection logic through issues and pull requests.
The goal is to bridge AI-driven automation with open-source collaboration to improve reliability and accelerate intelligence-driven detection engineering for all.
| CVE Year | CVE Year | CVE Year | CVE Year |
|---|---|---|---|
| 1999 (4) | 2000 (7) | 2001 (9) | 2002 (9) |
| 2003 (1) | 2004 (5) | 2005 (20) | 2006 (17) |
| 2007 (34) | 2008 (75) | 2009 (79) | 2010 (190) |
| 2011 (80) | 2012 (205) | 2013 (249) | 2014 (306) |
| 2015 (266) | 2016 (239) | 2017 (440) | 2018 (687) |
| 2019 (528) | 2020 (620) | 2021 (782) | 2022 (764) |
| 2023 (717) | 2024 (726) | 2025 (443) | 2026 (0) |
Suricata rules in this repository are generated fully autonomously by the VEDAS platform and have undergone syntactic validation only. Logical testing has not been performed in most cases. Please validate all rules prior to deployment. Community feedback via pull requests and issues is encouraged.