Recently, Microsoft published a blog post called Moving Beyond EMET that appears to make two main points: (1) Microsoft EMET will no longer support EMET after July 31, 2018, and (2) Windows 10 provides protections that make EMET unnecessary. In this blog post, I explain why Windows 10 does not provide the additional protections that EMET does and why EMET is still an important tool to help prevent exploitation of vulnerabilities.
Today we are announcing the release of the CERT Basic Fuzzing Framework Version 2.8 (BFF 2.8). It's been about three years since we released BFF 2.7. In this post, I highlight some of the changes we've made.
Users of Google Sign-In find that it integrates well with the Android platform, but iOS users (iPhone, iPad, etc.) do not have the same experience. The user experience when logging in to a Google account on an iOS application is not only more tedious than the Android experience, but it also conditions users to engage in behaviors that put their Google accounts at risk!
Application whitelisting is a useful defense against users running unapproved applications. Whether you're dealing with a malicious executable file that slips through email defenses, or you have a user that is attempting to run an application that your organization has not approved for use, application whitelisting can help prevent those activities from succeeding.
Some enterprises may deploy application whitelisting with the idea that it prevents malicious code from executing. But not all malicious code arrives in the form of a single executable application file. Many configurations of application whitelisting do not prevent malicious code from executing, though. In this blog post I explain how this is possible.
I've been working on a presentation called CERT BFF - From Start to PoC. In the process of preparing my material, I realized that a visualization could help people understand what happens during the BFF string minimization process.
What does it mean to say that an indicator is exhibiting persistent behavior? This is a question that Timur, Angela, and I have been asking each other for the past couple of months. In this blog post, we show you the analytics that we believe identify persistent behavior and how that identification can be used to identify potential threats as well as help with network profiling.
As you may have read in a previous post, the CERT/CC has been actively researching vulnerabilities in the connected vehicles. When we began our research, it became clear that in the realm of cyber-physical systems, safety is king. For regulators, manufacturers, and the consumer, we all want (and expect!) the same thing: a safe vehicle to drive. But what does safety mean in the context of security? This is the precisely the question that the National Highway Transit Safety Administration (NHTSA) asked the public in its federal register notice.
We worked with DHS US-CERT and the Department of Transportations' Volpe Center to study aftermarket on-board diagnostic (OBD-II) devices to understand their cybersecurity impact on consumers and the general public.
One of my responsibilities on the Situational Awareness Analysis team is to create analytics for various purposes. For the past few weeks, I've been working on some anomaly detection analytics for hunting in the network flow traffic of common network services. I decided to start with a very simple approach using mean and standard deviation for a historical period to create a profile that I could compare against current volumes. To do this, I planned on binning network traffic by some length of time to find time periods with anomalous volumes. The question I then had to answer was, "How should I define the historical period?" In this post, I explain the process I used to answer that question.
The CERT/CC Vulnerability Analysis team for nearly 30 years now has provided assistance for coordinated vulnerability disclosure (CVD). In a nutshell, we help security researchers communicate with software vendors to resolve security issues, and we get that information in the hands of anyone affected by the vulnerability. The CVD process can be confusing. To help researchers and vendors who are new to CVD, we're announcing a couple of simple but important additions to our CVD services.
The CERT Coordination Center (CERT/CC) has been receiving an increasing number of vulnerability reports regarding Internet of Things devices and other embedded systems. We've also been focusing more of our own vulnerability discovery work in that space. We've discovered that while many of the vulnerabilities are technically the same as in traditional IT software, the coordination process has some substantial differences that will need to be addressed as the Internet of Things grows.
Awareness and adoption of DevOps continues to grow. A 2016 DevOps trends report found that DevOps adoption increased from 66 percent in 2015 to 74 percent in 2016
In 2016, visitors to the SEI DevOps Blog were drawn to posts highlighting successful DevOps implementations at Amazon and Netflix, as well as tutorials on Fabric, Ansible, andDocker. This post presents in descending order (with number one at the bottom being the most popular) the five most popular DevOps posts in 2016.