Some weeks ago Hendrik explained in his blogpost Security Analysis of VoLTE, Part 1 some attack vectors for Voice over LTE (VoLTE). One attack vector introduced was Denial of Service (DoS), which I also discussed in my Masterthesis “Evaluation of IMS security and Developing penetration tests of IMS”.
In general, DoS attacks aim to prevent a system or a network from efficiently providing its service to legitimate users . The impact of such attacks can vary from a big degradation of quality to total blockage. DoS can occur on users level, where a user or a group of users cannot use the service. But the common conception of DoS is on the service level, where the whole service is broken, unstable or totally down. This blog post is about targeting DoS of the whole VoLTE service by attacking IMS.
Within the last months I had some time to work on my code and today I’m releasing some of that: a new version of dizzy as well as two new loki modules.
Dizzy is able to use neighbor travis’ facedancer to emulate a client device. Two fuzzing modes are available for USB descriptor fuzzing and USB endpoint fuzzing.
Here is an example cmd to start usb configuration descriptor fuzzing:
As announced at last week’s #HITB2012AMS, I’ll describe the fuzzing steps which were performed during our initial research. The very first step was the definition of the interfaces we wanted to test. We decided to go with the plain text VMDK file, as this is the main virtual disk description file and in most deployment scenarios user controlled, and the data part of a special kind of VMDK files, the Host Sparse Extends.
Hi @all,
today im releasing a new version of our famous fuzzing framework, dizzy. The version counts 0.6 by now and youll get some brand new features!
see the CHANGELOG:
v0.6:
– ssl support
– server side fuzzing mode
– command output
– new dizz funktions: lambda_length, csum, lambda_csum, lambda2_csum
– recursive mutation mode
– new dizz objects: fill
– new interaction objects: null_dizz
– reconnect option
– additional fuzzing values
I’m proud to announce, today a new fuzzing framework will see the light of day. It’s called dizzy and was written because the tools we used for fuzzing in past didn’t match our requirements. Some (unique) features are:
Python based
Fast!
Can send to L2 as well as to upper layers (TCP/UDP/SCTP)
Ability to work with odd length packet fields (no need to match byte borders, so even single flags or 7bit long fields can be represented and fuzzed)
Very easy protocol definition syntax
Ability to do multi packet state-full fuzzing with the ability to use received target data in response.
We already had a lot of success using it, now you will be able to know the true promises.