ThreatResponse/margaritashotgun

Margarita Shotgun

Python Remote Memory Aquisition

Documentation

Read the full documentation on read the docs.

Quickstart

For more information see the user guide.

Installation

pip install margaritashotgun

Margarita Shotgun is supported on common linux distributions, for other operating systems use the python docker container and follow our installation guide.

See installing for a list of required system packages.

Capture A Single Machine

A single machine can be captured using only the command line arguments for margaritashotgun. First specify the server and user with the --server and --username flags. Next provide a path to an ssh key with --key (or use a password with the --password flag). Finally provide a lime kernel module with --module and specify an output file with --filename

margaritashotgun --server 172.16.20.10 --username root --key root_access.pem --module lime-3.13.0-74-generic.ko --filename 172.16.20.10-mem.lime

Save Memory In S3

To save a file to s3 replace the filename flag with --bucket. Ensure that you have aws credentials configured prior to executing the following command.

margaritashotgun --server 172.16.20.10 --username root --key root_access.pem --module lime-3.13.0-74-generic.ko --bucket memory_capture_bucket``

Capture Multiple Machines

Run margaritashotgun with a configuration file like parallel_config.yml.example

aws:
    bucket: memory_dump_example
hosts:
    - addr:     52.36.191.XXX
      port:     22
      username: ec2-user
      key:      access.pem
      module:   lime-4.1.19-24.31.amzn1.x86_64.ko
    - addr:     52.36.170.XXX
      port:     22
      username: ec2-user
      key:      access.pem
      module:   lime-4.1.19-24.31.amzn1.x86_64.ko
    - addr:     52.36.210.XXX
      port:     22
      username: ubuntu
      key:      dev.pem
      module:   lime-3.13.0-74-generic.ko
    - addr:     52.36.90.XXX
      port:     22
      username: ubuntu
      key:      dev.pem
      module:   lime-3.13.0-74-generic.ko
workers: 2

Here parallelism is limited to 2 workers.

Run the capture with:

margaritashotgun --config your_custom_config.yml.

License

The MIT License (MIT)

Copyright (c) 2016 Joel Ferrier

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.