wazuh-ruleset VS loglizer

Compare wazuh-ruleset vs loglizer and see what are their differences.

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wazuh-ruleset loglizer
1 2
319 1,226
- 2.0%
4.7 0.0
over 2 years ago 3 days ago
Python Jupyter Notebook
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

wazuh-ruleset

Posts with mentions or reviews of wazuh-ruleset. We have used some of these posts to build our list of alternatives and similar projects.
  • Windows events alerts with Wazuh
    1 project | /r/Wazuh | 19 Mar 2021
    In this repository https://github.com/wazuh/wazuh-ruleset you can find the decoders and rules that wazuh-manager has by default (all these files are being migrated to the repository wazuh/wazuh https://github.com/wazuh/wazuh).

loglizer

Posts with mentions or reviews of loglizer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-15.
  • SOC with machine learning
    4 projects | /r/AskNetsec | 15 Nov 2022
    https://github.com/logpai/loglizer has an MIT license. Seems like they've done some of the heavy lifting already. If you're just looking for logs, check out https://github.com/logpai/loghub.
  • how to never ever lose connection to raspberry pi
    3 projects | /r/embeddedlinux | 17 Apr 2021
    If you want to really get paranoid, then you can write a monitoring app that uses machine learning to do the log analysis and detect anomalies in your system. There are some open source tools available, like this for example. Also you can train the network for your specific use case and then just have the service running the inference on your logs and a pre-trainer model that is running on system logs. Then you really get in paranoid mode.

What are some alternatives?

When comparing wazuh-ruleset and loglizer you can also consider the following projects:

sigma - Main Sigma Rule Repository

pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

Fail2Ban - Daemon to ban hosts that cause multiple authentication errors

Fog - An open source computer cloning & management system

openscap - NIST Certified SCAP 1.2 toolkit

anomaly-detection-resources - Anomaly detection related books, papers, videos, and toolboxes

openwisp-monitoring - Network monitoring system written in Python and Django, designed to be extensible, programmable, scalable and easy to use by end users: once the system is configured, monitoring checks, alerts and metric collection happens automatically.

luminol - Anomaly Detection and Correlation library

Check-WP-CVE-2020-35489 - The (WordPress) website test script can be exploited for Unlimited File Upload via CVE-2020-35489

HELK - The Hunting ELK

sysmon - Sysmon and wazuh integration with Sigma sysmon rules [updated]

kafkaml-anomaly-detection - Project for real-time anomaly detection using Kafka and python