fibratus
lrpc
Our great sponsors
| fibratus | lrpc | |
|---|---|---|
| 46 | 3 | |
| 2,071 | 5 | |
| - | - | |
| 8.4 | 7.8 | |
| 2 days ago | over 1 year ago | |
| Go | Go | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
fibratus
- Announcing Fibratus 2.0.0
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Announcing Fibratus 1.10.0 - a modern Windows kernel tracing and threat detection engine
I'm thrilled to announce the availability of Fibratus 1.10.0. This release brings a set of interesting features , such as the Yara function for combining signature and behavior-based detections, expanded detection rules catalog, native grammar for sequence rules, etc.
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Fibratus 1.10.0 - a modern Windows kernel tracing and threat detection engine built in Go
I'm happy to announce the availability of Fibratus 1.10.0. Fibratus aims at providing a high-performance engine for capturing Windows system events and asserting them against a ruleset for the purpose of detecting adversary kill chain. All rules are built on top of the prominent MITRE security framework.
- Release v1.10.0 ยท Fibratus
- Announcing fibratus 1.10.0 - a modern Windows kernel tracing and threat detection engine
- Announcing Fibratus 1.8.0 - a modern tool for Windows kernel tracing with a focus on security
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Fibratus - a modern tool for Windows kernel tracing with a focus on threat detection and prevention
You can check the full changelog here.
- Fibratus: Open-source threat detection and prevention solution
lrpc
- Share Your Code.. Share your most unique piece of Go code.
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Simple, lightweight, easy-to-use RPC framework for Go
The library is on my gitea: https://gitea.arsenm.dev/Arsen6331/lrpc with a mirror on Github: https://github.com/Arsen6331/lrpc.
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