In 2019, Cyber Defense Magazine named ManageEngine a Next Gen vendor in Unified Endpoint Management at IP EXPO in London, and then again at RSA Conference 2020 in San Francisco. Cyber Defense Magazine recognized ManageEngine in its 2020 InfoSec Awards for the features, capabilities, and value it delivers, along with its market presence.
When working with APIs you may come across the term REST or RESTful. REST stands for Representational State Transfer. In essence, REST is a set of recommendations that an API can adhere to. This makes designing the API easier and using the API more predictable.
In our last release of the PowerShell security series, we talked about how PowerShell could be leveraged by malicious actors to gain unprecedented access to your organization’s critical assets. From enumerating sensitive domain information and carrying out credential-based attacks to running malicious executables in memory (file-less malware), we shined a light on the potential of PowerShell and why it’s an ideal weapon for cyber attackers today.
API has become one of those catch-all terms that developers throw around without really considering the context. On any given week, you will come across discussions like "How to use the Twitter API", "New framework X is great because it has a low API surface", and "Best practices for building an API." Is an API a data source? Is it a service? Is it a way to call native functionality? The truth is, in modern software development it can mean any of these things.
Your application is running smoothly. Tests have passed. Suddenly you start to see 429 error responses from an API. As the name implies, you have made too many requests and your application has been rate limited. The 429 (Too Many Requests) error is an HTTP status code that often occurs when you've hit a request limitation of an API.
The climb is getting steeper, but thanks to hard work, vision and insight are much keener. At ML:4, all assets are scanned by a combination of agent and remote scans on a normal cadence. This will generate a lot of data dictated by threat and patch priority. Thousands of new vulnerabilities are released each year, and no company or product can detect all of them. Organizations must prioritize their coverage of vulnerabilities that they determine will have the biggest impact.
If you want to become a digital forensic expert, be aware that when entering the field, you will be presented with an abundance of information that you will not know. It is a wonderfully challenging career path. Some believe that having the title of a cybersecurity professional (e.g. digital forensics expert, cybersecurity analyst, incident response commander, etc.) means that this is an area where the field of knowledge is intimidating because it’s so expansive.
This blog post is one in an occasional series about how we at Elastic embrace our own technology. The Elastic InfoSec team is responsible for securing Elastic and responding to threats. We use our products everywhere we can — and for more than just logs. By harnessing the power and breadth of capabilities of the Elastic Stack, we are working on tracking risk and performance metrics, threat intelligence, our control framework, and control conformance information within Elastic.
Out of the box, Node.js offers the http library for making requests, but it isn't particularly user friendly and requires some customization before it can be easily used. As a result, a large ecosystem of third-party libraries have emerged to make AJAX and HTTP requests easier. Some offer cross-platform (browser and Node.js) support, while others focus on bundle size or developer experience. With some many options, how do you choose?
Historically, common detection methods have used file hashes (MD5, SHA1, and SHA256)—unique signatures based on the entire contents of the file—to identify malware. Modern threat actors have increased in sophistication to a point where every instance of a given malware will have a different hash, and that hash will vary from machine to machine.
