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There's a gap between what Linux systems log by default and what you actually need to detect a compromise. Most environments have logging active, which creates a sense of coverage that doesn't hold up under investigation.

When you’re digging through an incident, your logs are the only thing you can actually trust. The problem is, attackers know that too. If someone gets root on your server, their first move is almost always to delete the evidence and cover their tracks.

Security scanners flag exposed API keys in public repositories every day. The initial response is usually predictable: delete the commit, revoke the credential, and move on. That’s a mistake.

Root access on a Linux system rarely arrives through a zero-day.

When an attacker breaks into a Linux system, their work is rarely done. Usually, the real work starts after the initial exploit: hiding their tracks. If you’re a Linux admin or security analyst, there is nothing worse than logging in, running a few commands, and realizing the logs aren't telling the whole story. When logs are missing or look "off," your primary source of truth is compromised. This guide covers how to handle that situation. We’ll walk through the workflow you need to determine...

Every Linux developer who works with Go has run the same workflow a thousand times. You find a library that solves your problem, you see a decent star count on GitHub, and you run go get. It is frictionless and efficient. Lately, however, it is becoming one of the most effective ways for an attacker to get code running on your build servers. The recent "Operation Muck and Load" campaign is a perfect example of why this workflow is risky. Researchers uncovered over 200 GitHub repositories dist...

AI coding assistants have become a staple in many Linux developers' daily workflows. Whether you're generating boilerplate, refactoring code, or updating configuration files, it's easy to assume these tools stay safely inside your project directory. 

Most of us think of Linux rootkits as ancient history—the stuff of 90s hacking forums and clunky malware that would crash your system if you looked at it the wrong way. But if you think they’ve gone away, you’re mistaken. They’ve just gotten smarter.

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Linux runs a huge portion of today's infrastructure because it gives administrators an unusual amount of control over the system. That control extends to networking, where almost every aspect of packet flow, routing, filtering, and interface behavior can be customized. The trade-off is that very little of that hardening happens automatically. A fresh installation is usually built to communicate, not to isolate.

Linux runs a huge portion of today's infrastructure because it gives administrators an unusual amount of control over the system. That control extends to networking, where almost every aspect of packet flow, routing, filtering, and interface behavior can be customized. The trade-off is that very little of that hardening happens automatically. A fresh installation is usually built to communicate, not to isolate.

A 16-year-old KVM vulnerability recently hit the news, and honestly? It’s a healthy dose of reality. We like to think of our hypervisors as these impenetrable walls, but this is a reminder that VM isolation isn't a permanent guarantee.  Even in the most mature Linux virtualization stacks, you’ve got code paths that haven't been touched in over a decade, just waiting for the right researcher to pull on the wrong thread. For those of us running KVM hosts, this isn't just about grabbing the late...

One of the easiest mistakes to make in detection engineering is assuming a rule keeps working simply because nobody has touched it. Most of the time, nobody removes the rule. Nobody disables it. It just gets forgotten.

We often view OpenSSH security updates through the lens of standard patch management. When a new CVE hits, we scramble to update, check our versions, and return to business as usual. But recent vulnerabilities tied to distribution-added OpenSSH GSSAPI patches are a reminder that the danger doesn't always lie in the core code; it often resides in the "convenience" features we layer on top.

Docker makes containers feel like separate, lightweight virtual machines. They have their own hostnames, processes, and networking—but are they actually isolated? Many administrators assume they are without ever verifying the boundaries. If you’ve ever wondered what truly separates your application from the host, this guide is for you. We’ll use simple Docker commands to verify container isolation firsthand and uncover exactly what remains shared with the host.

Linux security teams are drowning. Patches, kernel updates, new CVEs every week. SSH exposed here, an old web service there, and a forgotten cron job running as root. On top of that, SIEM dashboards blink all day with alerts that all claim to be “high priority.”