Detecting suspicious child processes using ee-outliers and Elasticsearch

In this post, we will illustrate how ee-outliers can be used to detect suspicious child processes. This can be a very helpful way of spotting malicious endpoint activity during our Threat Hunting activities. A few examples where detecting suspicious child processes could help us: Detection of a malicious Microsoft Word file spawning cmd.exe Detection of … Continue reading Detecting suspicious child processes using ee-outliers and Elasticsearch

TLS beaconing detection using ee-outliers and Elasticsearch

Earlier today, we open-source ee-outliers, our in-house developed framework to detect outliers in events stored in Elasticsearch. This blog post is the first of several in which we want to dive a bit deeper in how we use ee-outliers ourselves in our own security monitoring activities. Today we will look at how ee-outliers can be … Continue reading TLS beaconing detection using ee-outliers and Elasticsearch

Announcement: open-sourcing ee-outliers

Today, we are excited to announce we are open-sourcing ee-outliers, our in-house developed framework to detect outliers in events stored in Elasticsearch! The framework was developed for the purpose of detecting anomalies in security events, however it could just as well be used for the detection of outliers in other types of data. We have … Continue reading Announcement: open-sourcing ee-outliers

My Internship Experience at NVISO – by Thibaut Flochon

Hi! I’m Thibaut, a bachelor student in Information Technology at Hénallux. As a final-year student, I have had the opportunity to do my internship at NVISO for 4 months. Let me share this experience with you! Why NVISO? The year before my internship, I took part in the Cyber Security Challenge Belgium 2017 with some … Continue reading My Internship Experience at NVISO – by Thibaut Flochon

Filtering out top 1 million domains from corporate network traffic

During network traffic analysis and malware investigations, we often use IP and domain reputation lists to quickly filter out traffic we can expect to be benign. This typically includes filtering out traffic related to the top X most popular websites world-wide. For some detection mechanisms, this technique of filtering out popular traffic is not recommended … Continue reading Filtering out top 1 million domains from corporate network traffic

Going beyond Wireshark: experiments in visualising network traffic

Introduction At NVISO Labs, we are constantly trying to find better ways of understanding the data our analysts are looking at. This ranges from our SOC analysts looking at millions of collected data points per day all the way to the malware analyst tearing apart a malware sample and trying to make sense of its … Continue reading Going beyond Wireshark: experiments in visualising network traffic