Fast import of Windows Prefetch(.pf) into Elasticsearch.
prefetch2es uses C library libscca.
When using from the commandline interface:
$ prefetch2es /path/to/your/file.pfWhen using from the python-script:
from prefetch2es.prefetch2es import prefetch2es
if __name__ == '__main__':
filepath = '/path/to/your/file.pf'
prefetch2es(filepath)prefetch2es supports importing from multiple files.
$ prefetch2es file1.pf file2.pf file3.pf
Also, possible to import recursively from a specific directory.
$ tree .
pffiles/
├── file1.pf
├── file2.pf
├── file3.pf
└── subdirectory/
├── file4.pf
└── subsubdirectory/
├── file5.pf
└── file6.pf
$ prefetch2es /pffiles/ # The Path is recursively expanded to file1~6.pf.
--host:
ElasticSearch host address
(default: localhost)
--port:
ElasticSearch port number
(default: 9200)
--index:
Index name
(default: prefetch2es)
--scheme:
Scheme to use (http, or https)
(default: http)
--pipeline
Elasticsearch Ingest Pipeline to use
(default: )
--login:
The login to use if Elastic Security is enable
(default: )
--pwd:
The password linked to the login provided
(default: )
When using from the commandline interface:
$ prefetch2es /path/to/your/file.pf --host=localhost --port=9200 --index=foobar
When using from the python-script:
if __name__ == '__main__':
prefetch2es('/path/to/your/file.pf', host=localhost, port=9200, index='foobar')With the Amazon Elasticsearch Serivce (ES):
$ prefetch2es /path/to/your/file.pf --host=example.us-east-1.es.amazonaws.com --port=443 --scheme=https --index=foobar
With credentials for Elastic Security:
$ prefetch2es /path/to/your/file.pf --host=localhost --port=9200 --index=foobar --login=elastic --pwd=******
Note: The current version does not verify the certificate.
- Windows XP
- Windows 2003
- Windows Vista (SP0)
- Windows 7 (SP0)
- Windows 8.1
- Windows 10 1809
- Windows 10 1903
For more information, please visit libscca.
Extra feature. 🍣 🍣 🍣
Convert from Windows Prefetch to json file.
$ prefetch2json /path/to/your/file.pf /path/to/output/target.json
Convert from Windows Prefetch to Python dict object.
from prefetch2es import prefetch2json
if __name__ == '__main__':
filepath = '/path/to/your/file.pf'
result: dict = prefetch2json(filepath)Using the sample prefetch file of EricZimmerman/Prefetch as an example.
{
"name": "CALC.EXE",
"filenames": [
"\\DEVICE\\HARDDISKVOLUME2\\WINDOWS\\SYSTEM32\\NTDLL.DLL",
...
],
"exec_count": 2,
"last_exec_time": 130974496211967500,
"format_version": 23,
"prefetch_hash": 2013131135,
"metrics": [
{
"filename": "\\DEVICE\\HARDDISKVOLUME2\\WINDOWS\\SYSTEM32\\NTDLL.DLL",
"file_reference": 281474976736310
},
...
],
"volumes": [
{
"path": "\\DEVICE\\HARDDISKVOLUME2",
"creation_time": 130974525181093750,
"serial_number": 2281737263
}
]
}
$ pip install prefetch2es
$ docker pull sumeshi/prefetch2es:latest
https://hub.docker.com/r/sumeshi/prefetch2es
# "host.docker.internal" is only available in mac and windows environments.
# For linux, use the --add-host option.
$ docker run -t --rm -v $(pwd):/app/work sumeshi/prefetch2es:latest prefetch2es /app/work/SAMPLE.pf --host=host.docker.internal$ docker run -t --rm -v $(pwd):/app/work sumeshi/prefetch2es:latest prefetch2es /app/work/SAMPLE.pf /app/work/out.jsonDo not use the "latest" image if at all possible.
The "latest" image is not a released version, but is built from the contents of the master branch.
The source code for prefetch2es is hosted at GitHub, and you may download, fork, and review it from this repository(https://github.com/sumeshi/prefetch2es). Please report issues and feature requests. 🍣 🍣 🍣
prefetch2es is released under the LGPLv3+ License.
Powered by libscca.
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