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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. Read more »
We are proud and happy to announce that a new free malware analysis online service is born.
Malwr.com is based on Cuckoo Sandbox, a project mentored by the Honeynet Project, sponsored by GSoC and developped by Claudio "nex" Guarnieri (@botherder), Dario Fernandes and Alessandro "jekil" Tanasi (@jekil). Malwr.com hosting is provided by ShadowServer.
If you want to test Cuckoo's flavor before installing it or if you're too lazy to deploy your own sandbox, just go there ! :-)
The Honeynet Project will hold its 2nd public security workshop at Facebook, Inc. in the San Francisco Bay Area. The workshop is going to be a two day event filled with technical presentations and hands-on tutorial training. On day 1 of the workshop, Honeynet Project members and Facebook will present on a wide range of information security topics: from honeypots and social networks to cybercrime and mobile malware. Day 2 will be a day of hands-on tutorial training. Our members will teach a total of 8 courses in forensics, honeypots, and visualization. For those who want to further hone their skills in a competitive setting, we will also host a capture-the-flag event on day 2.
Event details and registration information can be found at https://honeynet.org/SecurityWorkshops/2012_SF_Bay_Area. We hope to see you there!
Cuckoo Sandbox 0.3.1 has been released.
The most interesting improvements include:
Taking a look at the first submissions, it seems like more time is needed in order to solve the Forensic Challenge 10 - "Attack Visualization". For this reason we decided to extend the submission deadline to 2012, January 22th.
The Honeynet Project
Client honeypots are tools that actively search servers for malicious data like malware, exploits, malicious PDF files, etc.
The Polish Chapter just released a new version of Capture-HPC originally developed by Christian Seifert and Ramon Steenson of the New Zealand Chapter. Capture-HPC focuses primarily on attacks against, or involving the use of, Web browsers.
It is available for download as binary Debian package on Polish Chapter webpage:
Source code is made available via github: Read more »
Cuckoo Sandbox is an Open Source automated dynamic malware analysis system designed to analyze and report on suspicious files.
Cuckoo started as a Google Summer of Code project in 2010 within The Honeynet Project. It was designed and developed by Claudio Guarnieri who still maintains the project and lead its development efforts.
Cuckoo has been selected again this year for Google Summer of Code 2011 with The Honeynet Project and with Dario Fernandes who joined the team. The work being done in the last months lead to the release of the 0.2 version. Read more »
GSoC 2011 #8 project's goal was to add forensics features to the popular Wireshark network analyzer.
Wireshark is an open source network analyzer widely used for network debugging as well as security analysis. Wireshark provides network
analyzer with graphical interface as well as command line tools.
Wireshark also provides network protocol decoders and support filters that allow to search through packets with keywords.
GSoC plugins extend Wireshark capabilities when Wireshark is used to analyze network traffic with security and forensic in mind. Read more »
The Honeynet Project is happy to announce the release of the Android Reverse Engineering (A.R.E.) Virtual Machine.
Do you need to analyze a piece of Android malware, but dont have all your analysis tools at hand? The Android Reverse Engineering (A.R.E.) Virtual Machine, put together by Anthony Desnos from our French chapter, is here to help. A.R.E. combines the latest Android malware analysis tools in a readily accessible toolbox.
Tools currently found on A.R.E. are: