A comprehensive, evolving guide to hardening a Linux server with practical steps and security best practices.
How-To-Secure-A-Linux-Server is a comprehensive, open-source guide that teaches users how to harden a Linux server against common threats. It provides practical, step-by-step instructions covering SSH security, firewall setup, intrusion detection, and system auditing, with an emphasis on education and actionable code.
System administrators, homelab enthusiasts, and developers who manage Linux servers and want to improve their security posture through guided, practical hardening steps.
Unlike fragmented online tutorials, this guide consolidates essential security practices into a single, evolving resource with ready-to-use commands and Ansible automation, making server hardening accessible even for those new to Linux security.
An evolving how-to guide for securing a Linux server.
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Covers a wide range from SSH hardening and firewall setup to intrusion detection with Fail2Ban/CrowdSec and system auditing with Lynis/OSSEC, as detailed in the README's table of contents.
Provides ready-to-use code snippets for editing configuration files, such as securing /etc/ssh/sshd_config with settings like 'PermitRootLogin no' and 'PasswordAuthentication no'.
Emphasizes understanding the 'why' behind each step, teaching security principles rather than just providing rote instructions, as stated in the 'Guide Objective'.
Includes links to external Ansible playbooks that automate the hardening process, making it scalable for multiple servers, mentioned in the 'Using Ansible playbooks' section.
Several areas like file integrity monitoring with AIDE, anti-virus with ClamAV, and rootkit detection with Rkhunter are marked as 'WIP' (Work in Progress), limiting immediate completeness.
While aimed to be distribution-agnostic, the guide is primarily tested on Debian, and commands may require adaptation for other distros, as noted in 'Other Important Notes'.
Despite Ansible playbooks, the core guide relies on manual step-by-step configuration, which can be time-consuming and error-prone for large-scale or rapid deployments.