Vulnerability management is a continuous, proactive, and often automated process that keeps your computer systems, networks, and enterprise applications safe from cyber-attacks and data breaches by ensuring any weaknesses in the underlying software are updated.
We've become accustomed to seeing HTTPS on our websites, yet there are still some that simply refuse to use HTTPS. Our favourite Bureau of Meteorology is exactly one such case.
MRTG - an age-old graphing tool used by network administrators all over the world. But it's not just for networking systems. I've used it to monitor various things. In this how-to, I'll walk you through how you can create a simple MRTG system to track pretty much anything.
We all have passwords, and the volume of passwords we need to manage is not slowing down. Most of the sites we interact with have some sort of a password policy that forces you to go through a process of trying to create them. I have written about this before.
As a security professional, you would most often be dealing with teams that are directly responsible for the security of a system. In many cases, developers will have the ability to make or break the security of their particular solutions, and in many situations, too much frustration for the security team. I have observed firsthand how adversarial the relationship between security and developers can be. It doesn't have to be that way.
Threat modeling is a process used by developers and engineers to understand the threats that exist that may exploit a weakness or vulnerability in a software application or platform.
In the past, I did a lot of Perl programming and a lot of CGI code that still run on various websites around the world today. When I migrated my knowledge across to AWS and serverless infrastructure, I found myself having to develop code in a similar structure to what I did previously in Perl and PHP.
With this article, the goal is to demonstrate how you could dynamically generate HTML in a Lambda function, and use Lambda as a make-shift web server for some simple applications using Python.
Optus, one of the largest telcos in Australia has suffered a major security breach, losing the sensitive information of close to 10 million Australians. A lot has been said already on the topic. I wanted to focus on the psychology behind a breach.
It's been a wild year for Uber which has suffered through another security breach. The reactions to the hack have been mixed, and I've been contemplating how to respond. Here's my take...