This graph shows the statistical entropy of nine RDP sessions, as observed by net-entropy. There are two notable outliers - at this level of zoom, the black line is the most obvious. This was an RDP session to a server whose encryption level was set to "Low" - the other eight were to servers set to use "Client Compatible" encryption.
A second outlier appears at the beginning of the session (hard to see at this zoom level), and was due to the use of a different RDP client package. Further outliers (not on this graph) were observed when using rdesktop instead of the native Windows RDP client.
A fuller writeup is here.
I was culling through the logs on one of my systems the other day and realized that I was getting a fair amount of alerts from my Symantec A/V servers. At first, I was not interested in what malware was being detected and cleaned but it got me thinking about what interesting patterns existed. I suspected that the majority of malware infections were caused by a minority of users as most malware these days require some user action. To test this theory I wrote a simple parser
to convert the logs to something that I could push into a visualizer and started looking for interesting patterns.
As announced on the Picviz mailing list, the new GUI is out. This is not a new release of the engine (libpicviz) but the GUI.
There is a lot of new feature that came from the Google summer of code, since Picviz was a project proposed by the Honeynet project. It is mostly about interaction that a graphical interface can give you to deal with parallel coordinates.
You can download it there: http://www.wallinfire.net/files/picviz
Shown is a visual of a time series analysis representing malicious activity reported by our 6 most active and reliable SensorNET honeypots. These honeypots have been deployed for between 9 months and 2 years in the Australian IP space.
For the full analysis, see my blog http://honeynet.org.au/?q=Most_dangerous_time_on_the_Australian_Internet
"In a previous blog, we showed off some heatmaps that were supposed to help answer the question "Where does SPAM come from?". The problem with these maps, is that they are the combination of months of data without any respect to time.
So I set out to show the same information in a video to help answer a broader question "When and Where does SPAM come from?". Each red flash represents a moment in time that a point on the earth sent us some spam.
Without further ado, here is a video of about a week's worth of SPAM on the planet Earth......"
Note, I learnt about the logster tool here on the secviz blog first :)
Watch the vid on the blog, Here is a snapshot picture.
As promised once I managed to get 2.0 out I would make 1.0 a free download. 2.0 we've added the world map, timeline and organizational data. What was interesting was we started to look for "soft" targets, home users, colleges etc. The places that hackers tend to "train" on...( I know that some colleges and home users are built like fort Knox : )
When we started to use the filters on the timeline, specifically looking for universites it opened up a whole new avenue for exploration. I found a couple of systems with possible "interesting" traffic not detected by my snort, Cisco IPS or symantec software. We're in the process of adding an hourly report. I wanted this to be similar to the hourly wrap conducted by most organizations..ie looking for "strange" traffic (low port to low port, multiple connections to new ip addresses but source port remaining the same etc etc...anything that we would consider "crafted" or maybe unusual.) I think the timeline gives an interesting filter approach to visually looking at the data...we have some other stuff up our sleeve (especially with the timeline...but also about displaying the hourly datasets....I thought about a "virus" like approach with "cells" representing events, but turning darker and mutating if they meet preconditions...i know it sounds strange but in my head it seems to work :) )
you can download the free "lite" version (no timeline, no world map, no organizational data etc but should give you an idea how easy it is to set up)
and yes we will update the demo page to include the new stuff.....:)