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Laika BOSS: Object Scanning System

Laika is an object scanner and intrusion detection system that strives to achieve the following goals:

Each scan does three main actions on each object:

Feel free to read the whitepaper!

Components

Laika is composed of the following pieces:

Getting Started

Laika BOSS has been tested on the latest versions of CentOS and Ubuntu LTS

Installing on Ubuntu

  1. Install framework dependencies:

    apt-get install yara python-yara python-progressbar python-pip
    pip install interruptingcow
    
  2. Install network client and server dependencies:

    apt-get install libzmq3 python-zmq python-gevent python-pexpect
    
  3. Install module dependencies:

    apt-get install python-ipy python-m2crypto python-pyclamd liblzma5 libimage-exiftool-perl python-msgpack libfuzzy-dev python-cffi python-dev unrar
    pip install fluent-logger olefile ssdeep py-unrar2 pylzma javatools
    wget https://github.com/smarnach/pyexiftool/archive/master.zip
    unzip master.zip
    cd pyexiftool-master
    python setup.py build
    python setup.py install
    wget https://github.com/erocarrera/pefile/archive/pefile-1.2.10-139.tar.gz
    tar vxzf pefile-1.2.10-139.tar.gz
    cd pefile-1.2.10-139
    python setup.py build
    python setup.py install
    

Installing on CentOS

  1. Install framework dependencies

    sudo yum install -y epel-release
    sudo yum install -y autoconf automake libtool libffi-devel python-devel python-pip python-zmq ssdeep-devel swig
    
  2. Install Python modules

    pip install IPy cffi interruptingcow fluent-logger javatools m2crypto olefile pylzma pyclamd py-unrar2
    pip install six --upgrade --force-reinstall
    pip install ssdeep
    
  3. Install Yara

    There is no Yara package for CentOS, so we have to build it from source. You can't use a checkout from Github as it won't contain the Python code; you must download one of the release versions. The following uses Yara version 3.5.0

    wget https://github.com/VirusTotal/yara/archive/v3.5.0.zip
    unzip yara-3.5.0.zip
    cd yara-3.5.0
    chmod +x ./build.sh
    ./build.sh
    sudo make install
    cd yara-python
    python setup.py build
    sudo python setup.py install
    
  4. Install pyexif

    wget https://github.com/smarnach/pyexiftool/archive/master.zip
    unzip master.zip
    python setup.py build
    sudo python setup.py install
    
  5. Install pefile

    wget https://github.com/erocarrera/pefile/archive/pefile-1.2.10-139.tar.gz
    tar vxzf pefile-1.2.10-139.tar.gz
    cd pefile-1.2.10-139
    python setup.py build
    python setup.py install --user
    

You may need to set the LD_LIBRARY_PATH variable to include /usr/local/lib when running Laika.

Installing Laika BOSS (optional)

You may use the provided setup script to install the Laika BOSS framework, client library, modules and associated scripts (laika.py, laikad.py, cloudscan.py).

python setup.py install

Standalone instance

From the directory containing the framework code, you may run the standalone scanner, laika.py against any file you choose. If you move this file from this directory you'll have to specify various config locations. By default it uses the configurations in the ./etc directory.

We recommend using installing jq to parse Laika output.

$ ./laika.py ~/test_files/testfile.cws.swf | jq '.scan_result[] | { "file type" : .fileType, "flags" : .flags, "md5" : .objectHash }'
100%[############################################] Processed: 1/1 total files (Elapsed Time: 0:00:00) Time: 0:00:00
{
  "md5": "dffcc2464911077d8ecd352f3d611ecc",
  "flags": [],
  "file type": [
    "cws",
    "swf"
  ]
}
{
  "md5": "587c8ac651011bc23ecefecd4c253cd4",
  "flags": [],
  "file type": [
    "fws",
    "swf"
  ]
}

Networked instance

$ ./laikad.py

$ ./cloudscan.py ~/test_files/testfile.cws.swf | jq '.scan_result[] | { "file type" : .fileType, "flags" : .flags, "md5" : .objectHash }'
{
  "md5": "dffcc2464911077d8ecd352f3d611ecc",
  "flags": [],
  "file type": [
    "cws",
    "swf"
  ]
}
{
  "md5": "587c8ac651011bc23ecefecd4c253cd4",
  "flags": [],
  "file type": [
    "fws",
    "swf"
  ]
}

Milter

The Laika BOSS milter server allows you to integrate Laika BOSS with mail transfer agents such as Sendmail or Postfix. This enables better visibility (passive visibility can be hampered by TLS) and provides a means to block email according to Laika BOSS disposition.

+----------------+             +---------------+             +----------------+
|                |    email    |               |   email     |                |
|    sendmail    +------------->  laikamilter  +------------->     laikad     |
|                | accept/deny |               | scan result |                |
|                <-------------+               <-------------+                |
+----------------+             +---------------+             +----------------+

The Laika BOSS milter server requires the python-milter module and the Laika BOSS client library. Check out the comments in the source code for more details.

Suricata Integration Prototype

We have released a proof of concept feature for Suricata that allows it to store extracted files and their associated metadata in a Redis database. You will find this code under a new branch in our Suricata fork. We hope to refine the implementation and eventually have it accepted by the project.

Once you've enabled file extraction and the optional Redis integration in Suricata, you can extract these files from Redis and submit them to Laika BOSS for scanning by using the middleware script laika_redis_client.py as shown below. Note that it requires the python-redis module.

First, start laikad.py in async mode:

./laikad.py -a

Then launch the middleware script and give it the address of the laikad broker and Redis database (defaults shown below):

./laika_redis_client.py -b tcp://localhost:5558 -r localhost -p 6379

Note that you will need to use a logging module such as LOG_FLUENT to export the full scan result of the these file scans from laikad.

Licensing

The Laika framework and associated modules are released under the terms of the Apache 2.0 license.