[PR #797] [CLOSED] Add aiengine #718

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opened 2025-11-06 13:01:10 -06:00 by GiteaMirror · 0 comments
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📋 Pull Request Information

Original PR: https://github.com/vinta/awesome-python/pull/797
Author: @camp0
Created: 12/16/2016
Status: Closed

Base: masterHead: patch-1


📝 Commits (1)

📊 Changes

1 file changed (+1 additions, -0 deletions)

View changed files

📝 README.md (+1 -0)

📄 Description

What is this Python project?

AIEngine is a next generation interactive/programmable Python/Ruby/Java/Lua packet inspection engine with capabilities of learning without any human intervention, NIDS(Network Intrusion Detection System) functionality, DNS domain classification, network collector, network forensics and many others.
AIEngine also helps network/security professionals to identify traffic and develop signatures for use them on NIDS, Firewalls, Traffic classifiers and so on

What's the difference between this Python project and similar ones?

Supports the following features:

  • Support for interacting/programing with the user while the engine is running (Embeded interpreter)
  • Support for PCRE JIT for regex matching.
  • Support for regex graphs (complex detection patterns).
  • Support five types of NetworkStacks (lan,mobile,lan6,virtual(VXLan) and oflow(OpenFlow)).
  • Support Sets and Bloom filters for IP searches.
  • Supports x86_64, ARM and MIPS architecture over operating systems such as Linux, FreeBSD and MacOS.
  • Support for HTTP,DNS and SSL Domains matching.
  • Support for banned domains and hosts for HTTP, DNS, SMTP and SSL.
  • Frequency analysis for unknown traffic and auto-regex generation.
  • Generation of Yara signatures.
  • Easy integration with databases (MySQL, Redis, Cassandra, Hadoop, etc...) for data correlation.
  • Easy integration with other packet engines (Netfilter).
  • Support memory clean caches for refresh stored memory information.
  • Support for detect DDoS at network/application layer.
  • Support for rejecting TCP/UDP connections.
  • Support for network forensics on real time.
  • Supports protocols such as Bitcoin,CoAP,DHCP,DNS,GPRS,GRE,HTTP,ICMPv4/ICMPv6,IMAP,IPv4/v6,Modbus, MPLS,MQTT,Netbios,NTP,OpenFlow,POP,Quic,RTP,SIP,SMTP,SSDP,SSL,TCP,UDP,VLAN,VXLAN.

--

Anyone who agrees with this pull request could vote for it by adding a 👍 to it, and usually, the maintainer will merge it when votes reach 20.


🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.

## 📋 Pull Request Information **Original PR:** https://github.com/vinta/awesome-python/pull/797 **Author:** [@camp0](https://github.com/camp0) **Created:** 12/16/2016 **Status:** ❌ Closed **Base:** `master` ← **Head:** `patch-1` --- ### 📝 Commits (1) - [`35573b3`](https://github.com/vinta/awesome-python/commit/35573b398d5eb8f38a1293070723b35a29a8d2bb) Update README.md ### 📊 Changes **1 file changed** (+1 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+1 -0) </details> ### 📄 Description ## What is this Python project? AIEngine is a next generation interactive/programmable Python/Ruby/Java/Lua packet inspection engine with capabilities of learning without any human intervention, NIDS(Network Intrusion Detection System) functionality, DNS domain classification, network collector, network forensics and many others. AIEngine also helps network/security professionals to identify traffic and develop signatures for use them on NIDS, Firewalls, Traffic classifiers and so on ## What's the difference between this Python project and similar ones? Supports the following features: - Support for interacting/programing with the user while the engine is running (Embeded interpreter) - Support for PCRE JIT for regex matching. - Support for regex graphs (complex detection patterns). - Support five types of NetworkStacks (lan,mobile,lan6,virtual(VXLan) and oflow(OpenFlow)). - Support Sets and Bloom filters for IP searches. - Supports x86_64, ARM and MIPS architecture over operating systems such as Linux, FreeBSD and MacOS. - Support for HTTP,DNS and SSL Domains matching. - Support for banned domains and hosts for HTTP, DNS, SMTP and SSL. - Frequency analysis for unknown traffic and auto-regex generation. - Generation of Yara signatures. - Easy integration with databases (MySQL, Redis, Cassandra, Hadoop, etc...) for data correlation. - Easy integration with other packet engines (Netfilter). - Support memory clean caches for refresh stored memory information. - Support for detect DDoS at network/application layer. - Support for rejecting TCP/UDP connections. - Support for network forensics on real time. - Supports protocols such as Bitcoin,CoAP,DHCP,DNS,GPRS,GRE,HTTP,ICMPv4/ICMPv6,IMAP,IPv4/v6,Modbus, MPLS,MQTT,Netbios,NTP,OpenFlow,POP,Quic,RTP,SIP,SMTP,SSDP,SSL,TCP,UDP,VLAN,VXLAN. -- Anyone who agrees with this pull request could vote for it by adding a :+1: to it, and usually, the maintainer will merge it when votes reach **20**. --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
GiteaMirror added the pull-request label 2025-11-06 13:01:10 -06:00
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Reference: github-starred/awesome-python#718