- About us
- Code of Conduct
- Google SoC
- Recent posts
- Security Workshops
We are proud and happy to announce that Cuckoo Sandbox and AndroGuard were choosen by Rapid7 for his Magnificent7 Program, an initiative created to fuel the success of seven bleeding edge open source projects and backed by a fund of $100,000.
Cuckoo Sandbox and AndroGuard are respectively developped by Claudio Guarnieri and Anthony Desnos and mentored during previous GSoC.
Congratulations to Claudio and Anthony !
On Sunday, March 25, Microsoft announced that for the fourth time, they had gone to a federal court and successfully obtained an ex parte temporary restraining order (TRO) to seize domain names from botnet operators. For the second time, the court has also ordered U.S. Marshals to accompany Microsoft and others to serve search warrants and seize evidence that can be used in future civil or criminal actions.
I am pleased to announce a new forensic challenge: Forensic Challenge 11 - "Dive Into Exploit"
The challenge has been created by Georg Wicherski from Giraffe Chapter.
Submission deadline is May 31th and we will be announcing winners (if any) around the last week of June 2012.
The Honeynet Project
I'm glad to announce I finally publicly released a brand new low-interaction honeyclient I'm working on from a few months now. The project name is Thug and it was publicly presented a few hours ago during the Honeynet Project Security Workshop in Facebook HQ in Menlo Park. Please take a look at the (attached) presentation for details about Thug.
Just a few highlights about Thug:
We have just been notified by Google that the Honeynet Project has - once again - been accepted as one of the mentoring organization for Google Summer of Code 2012 (in total 180 organizations were selected). We are very excited and are looking forward to a great summer! Already a big thank you to Google for their continued support!
While student applications are not officially open yet, interested students are encouraged to check out our ideas page and get in contact with us via email@example.com and/or IRC (#gsoc2012-honeynet on irc.freenode.net) in the next few ideas to meet the mentors and discuss project ideas. Student applications officially open on March 26th 2012 and close on April 6th 2012.
We are looking forward to hearing from you!
Frasier, who participated in our recent visualization forensic challenge has released his visualization tool WoLF Viz at http://code.google.com/p/wolf-viz/. WoLF Viz works by parsing arbitrary text log files into a network (graph) of words, where the words are nodes and the edges are adjacent word pairs. The edge weights are based on how often the two words are seen next to each other.
Early bird registration to our 2012 Honeynet Project Security Workshop ends today. The workshop will be held at the Facebook offices in the SF Bay Area. Secure your spot today for the workshop or one of the eleven hands-on training sessions we are offering. You can check out the agenda and training sessions at https://honeynet.org/SecurityWorkshops/2012_SF_Bay_Area. Hope to see you there!
CEO, The Honeynet Project
Ben Reardon has judged all submissions and results have been posted on the challenge page. The winners are:
1. Fabian Fischer
2. Chris Horsley
3. Fraser Scott
4. Dan Gleebits
5. Johnathan Tracz
Take a look at Ben's blog post for additional details. Congratulations to the winners and thanks to the other participants!
The Honeynet Project
While the quantity of submissions for FC10 was lower than usual - we had expected this because of the amount of work required to submit plus being over the Christmas break - the quality of the solutions was really inspiring.
Of course the hardest part was deciding the winners, and as expected the traditional scoring method was not ideal for this type of challenge because the challenge was about creating and developing ideas, rather than just answering a number of dry questions. Quite a few people people used the challenge not so much to win a prize, but to have fun, develop an idea they've had, practice on some real datasets, learn, and teach. This was exactly the spirit we'd hoped for, so thanks to everyone for putting in a big effort.
The Winners and their solutions:
Fabian Fischer - solution
Chris Horsley - solution
Fraser Scott - solution
Dan Gleebits - solution
Johnathan Tracz - solution
The standout theme in the submissions for me was the use of interactive and flexible tools to analyse the data. As we move further into the big data world, its going to be imperative to get inside the data interactively to understand it. Some of the solutions focused on developing brand new applications/frameworks to interactively data sets - Check out the submissions from Fabian and Chris as really good examples of this. While Fraser put forward the idea of rendering images in 3D - which is not that far-out an idea actually, why not?!.
We hope that this challenge was enjoyable for those who participated, and for those downloading the submissions for inspiration. These challenges have a long legacy, we see people downloading, attempting and referencing these challenges and the solutions for education purposes years afterwards, so they are an important program at the Honeynet Project.
It would be great to see solutions to future forensic challenges use visualization, not only to analyse and detect trends, but also to describe the problem space to the layperson. With that said - the next Forensic challenge, FC11 should be released shortly - so stay tuned.
And lastly, if anyone wants to develop their ideas further, a good way (i.e. get paid if you are accepted!) is to get involved in our upcoming Google Summer of Code program GSOC12
Identifying unknown files by using fuzzy hashing
Over the last couple of years I have captured about 2 gigabytes of malware using the Dionaea honeypot. Analysing and identifying those files can mostly be done by sites as Virustotal, Anubis or CWsandbox. By modifying the ihandler section in the dionaea.conf this can be done fully automated.
Every now and then even these excellent analysis sites come up with nothing. No result or whatsoever. This could be because its a brand new sample of malware which simply isn't recognised yet or it is a morphed sample of a known and existing one.