![]() While it started as a regular syslogd, rsyslog has evolved into a kind of swiss army knife of logging, being able to accept inputs from a wide variety of sources, transform them, and output to the results to diverse destinations. It offers high-performance, great security features and a modular design. Rsyslog is a rocket-fast system for log processing. With Osquery, SQL tables represent abstract concepts such as running processes, loaded kernel modules, open network connections, browser plugins, hardware events or file hashes. This allows you to write SQL-based queries to explore operating system data. Osquery exposes an operating system as a high-performance relational database. The “future improvements” section discusses various improvements for this implementation. Second, this blog post contains setups and configs that may NOT be production ready. This post will NOT cover how Osquery, Kafka, or how Docker works, and this post assumes you know how these technologies work. This blog post is written to be a proof of concept and not a comprehensive post. Deploying Kafka and Rsyslog server on Docker.Learn how to leverage VirusTotal to detect malicious files.Detect malicious downloads with Osquery and VirusTotal.If VirusTotal reports that the file is malicious, a Slack alert will be triggered. These hashes will be submitted to VirusTotal for analysis. The Python application will extract the file hash from Osquery file events. The Rsyslog server will forward the logs to Kafka, and then Kafka will place the logs into a topic to be consumed by our Dockerized Python application. ![]() Rsyslog client on a macOS endpoint will ship logs to a Rsyslog server. Abstractįirst, Osquery will monitor file system events for newly created files. If this pipeline detects a malicious file, a Slack alert will be triggered. This setup will utilize technologies such as Osquery, Rsyslog, Kafka, Docker, Python3, and VirusTotal for a logging pipeline. This blog post will explore how to set up a simple logging pipeline to detect maliciously downloaded files.
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