Python Remote Memory Aquisition
Read the full documentation on read the docs.
For more information see the user guide.
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.
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
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
Use the --azure-sas-uri
parameter to specify a SAS URI providing access to a blob container.
margaritashotgun --server 172.16.20.10 --username root --key root_access.pem --module lime-3.13.0-74-generic.ko --azure-sas-uri https://...
For step-by-step details, see:
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.
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.
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