Published on March 8th, 2019 📆 | 2800 Views ⚑0
Turbinia – Automation And Scaling Of Digital Forensics Tools
Turbinia is currently in Alpha release.
There is an rough installation guide here.
The basic steps to get things running after the initial installation and configuration are:
- Start Turbinia server component with
- Start one or more Turbinia workers with
- Send evidence to be processed from the turbinia client with
- Check status of running tasks with
turbiniactl can be used to start the different components, and here is the basic usage:
$ turbiniactl --help usage: turbiniactl [-h] [-q] [-v] [-d] [-a] [-f] [-o OUTPUT_DIR] [-L LOG_FILE] [-r REQUEST_ID] [-R] [-S] [-C] [-V] [-D] [-F FILTER_PATTERNS_FILE] [-j JOBS_WHITELIST] [-J JOBS_BLACKLIST] [-p POLL_INTERVAL] [-t TASK] [-w] <command> ... optional arguments: -h, --help show this help message and exit -q, --quiet Show minimal output -v, --verbose Show verbose output -d, --debug Show debug output -a, --all_fields Show all task status fields in output -f, --force_evidence Force evidence processing request in potentially unsafe conditions -o OUTPUT_DIR, --output_dir OUTPUT_DIR Directory path for output -L LOG_FILE, --log_file LOG_FILE Log file -r REQUEST_ID, --request_id REQUEST_ID Create new requests with this Request ID -R, --run_local Run completely locally without any server or other infrastructure. This can be used to run one-off Tasks to process data locally. -S, --server Run Turbinia Server indefinitely -C, --use_celery Pass this flag when using Celery/Kombu for task queuing and messaging (instead of Google PSQ/pubsub) -V, --version Show the version -D, --dump_json Dump JSON output of Turbinia Request instead of sending it -F FILTER_PATTERNS_FILE, --filter_patterns_file FILTER_PATTERNS_FILE A file containing newline separated string patterns to filter text based evidence files with (in extended grep regex format). This filtered output will be in addition to the complete output -j JOBS_WHITELIST, --jobs_whitelist JOBS_WHITELIST A whitelist for Jobs that we will allow to run (note that it will not force them to run). -J JOBS_BLACKLIST, --jobs_blacklist JOBS_BLACKLIST A blacklist for Jobs we will not allow to run -p POLL_INTERVAL, --poll_interval POLL_INTERVAL Number of seconds to wait between polling for task state info -t TASK, --task TASK The name of a single Task to run locally (must be used with --run_local. -w, --wait Wait to exit until all tasks for the given request have completedCommands: <command> rawdisk Process RawDisk as Evidence googleclouddisk Process Google Cloud Persistent Disk as Evidence googleclouddiskembedded Process Google Cloud Persistent Disk with an embedded raw disk image as Evidence directory Process a directory as Evidence listjobs List all available jobs psqworker Run PSQ worker celeryworker Run Celery worker status Get Turbinia Task status server Run Turbinia Server
The commands for processing the evidence types of rawdisk and directory specify information about evidence that Turbinia should process. By default, when adding new evidence to be processed, turbiniactl will act as a client and send a request to the configured Turbinia server, otherwise if
--server is specified, it will start up its own Turbinia server process. Here’s the turbiniactl usage for adding a raw disk type of evidence to be processed by Turbinia:
$ ./turbiniactl rawdisk -h usage: turbiniactl rawdisk [-h] -l LOCAL_PATH [-s SOURCE] [-n NAME] optional arguments: -h, --help show this help message and exit -l LOCAL_PATH, --local_path LOCAL_PATH Local path to the evidence -s SOURCE, --source SOURCE Description of the source of the evidence -n NAME, --name NAME Descriptive name of the evidence
- How it works
- Contributing to Turbinia
- Developing new Tasks
- Debugging and Common Errors
- Turbinia currently assumes that Evidence is equally available to all worker nodes (e.g. through locally mapped storage, or through attachable persistent Google Cloud Disks, etc).
- Not all evidence types are supported yet
- Still only a small number of processing job types supported, but more are being developed.
Obligatory Fine Print
This is not an official Google product (experimental or otherwise), it is just code that happens to be owned by Google.