APT Detection

MARk: Visualizations with D3.js

Detecting suspicious or malicious activity in a network is not a trivial task. In recent years the attacks perpetrated have grown in sophistication and frequency. For this reason a new detection tool was developed, in the form of the Multi Agent Ranking framework (MARk). MARk sets the groundwork for the implementation of large scale detection and ranking systems through the implementation of a distributed storage in conjuncture with highly specialized, stand-alone detector agents. The detector agents are responsible for analyzing specific predefined characteristics and producing a report of any suspicious activity encountered.

Read more
Fixing "[circuit_breaking_exception] [parent] Data too large, data for [<http_request>]" ELK Stack error

Recently I have encountered an error I wasn't too familiar with how to resolve, working with the ELK Stack. This specific error is the "[circuit_breaking_exception] [parent] Data too large, data for [<http_request>]". It is not directly visible where the error originates from, but with some sleuthing I discovered that it is caused by Elasticsearch preventing some requests from executing to avoid possible out of memory errors, as detailed in Elasticsearch Circuit Breaker documentation.

Read more
Collecting data with Filebeat

In modern network infrastructures, there are a lot of sources of data, that can be of interest for collection and analysis, to see if possible suspicious activity is present in the network. More often than not, this data is collected and send to a Security Information and Event Management (SIEM) tool, running on the network, where it can be processed and reviewed by domain specialists.

Read more
The ELK Stack and how to use it

Managing big networks can be quite complicated- many inbound and outbound requests, network traffic, email correspondence and other activities that need to be monitored. It is quite easy for an attacker to obfuscate his actions, when we are confronted with large amounts of network data to analyze. Luckily there are ways to aggregate all this data and store it so it can be reviewed and hopefully discover any abnormal activity. Of course, I am talking about the use of a Security Information and Event Management (SIEM) framework. One such framework that has gained a lot of popularity, because of its modularity and open-source nature, is the ElasticSearch/Logstash/Kibana framework.

Read more
MASFAD 2 at EDA CapTech Cyber

Today we are proud to present the Multi-Agent System for APT Detection project (MASFAD 2) at the first meeting of the Capability Technology Area Cyber (CapTech Cyber) of the European Defense Agency (EDA).

Read more
How to aggregate scores in a multi-heuristic detection system : A comparison between WOWA and Neural Networks

Cyber-attacks are becoming increasingly complex and therefore require more sophisticated detection systems. A lot of these are actually combine multiple detection algorithms. A crucial step is then to aggregate all detection scores correctly.

Read more