gnuplotsql.py
Development of new features for Dionaea has been fairly impressive of late, and I’ve been lax in keeping up to date. When Markus asked if I’d tested the graph utility that he created and wrote about here, it served as a kick to stop putting off some of the jobs I’ve got on the growing to-do list.
I won’t go into too much detail about running the script as Markus has already done a better job than I could. However I will point out that if you run your Dionaea installation on Debian stable, then your out of luck; the standard packages for sqlite are too old to take the script. Best advice is to copy your logsql.sqlite database to a Ubuntu machine and work from there (oh, and in case you didn’t guess from the script name, make sure you’ve actually installed gnuplot…).
A powerful machine is recommended, the only Ubuntu system I had to hand whilst testing was my AA1 netbook, which took 85 minutes to crunch through the script and my database.
I have immediately found the graphs produced useful as they’ve highlighted a couple of obvious spikes (see below) in activity that I would have (and did) miss if solely relying on log files and databases. This really shows the power and importance of visualising security and log information.
If you’re interested the output for the InfoSanity’s installation is now online here. I’m looking to expand the statistics from the InfoSanity honeypot environment that are publicly available, this makes a nice start. As always, big thanks to Markus and carnivore.it team for the effort.
– Andrew Waite

http://www.infosanity.co.uk/stats/dionaea/2010/08/index.php#overview_smbd
This one is interesting.
Basically way more malware downloads than accepted connections in August 2010.
Using the sqlite db you can figure out which connection caused this and I’d be glad if you could hand me the bistream of this connection.
Ask and ye shall receive, should be in your inbox.
can you give me detailed explanation on how to analyze the gnuplot sql graph please
Sai,
it’s a graph; time along the bottom, higher bar=more hits, legend explains what each colour represents
how can i contact legend.please help me
actually what i meant is can u explain me what is a offer,download and uniq from the legend please