prefetch2es

A command-line tool for parsing Windows Prefetch files and importing the results into Elasticsearch.

prefetch2es is built on pyscca and converts Windows Prefetch artifacts into Elasticsearch-friendly records.

Features

• Parse Windows Prefetch (.pf) files using pyscca
• Process a single file, multiple files, or a directory of .pf files
• Import parsed records into Elasticsearch (prefetch2es)
• Export parsed records as JSON or JSONL (prefetch2json)
• Generate timeline-oriented records for forensic analysis (--timeline)

Installation

From PyPI

$ pip install prefetch2es

From GitHub Releases

Standalone binaries are available from GitHub Releases.

$ chmod +x ./prefetch2es
$ ./prefetch2es {{options...}}

> prefetch2es.exe {{options...}}

Usage

prefetch2es can be executed from the command line or incorporated into a Python script.

$ prefetch2es /path/to/your/file.pf

from prefetch2es import prefetch2es
prefetch2es("/path/to/your/file.pf")

Arguments

prefetch2es can process multiple files at once.

$ prefetch2es file1.pf file2.pf file3.pf

Both commands recursively discover .pf files in directories, case-insensitively.

$ tree .
pffiles/
  ├── file1.pf
  ├── file2.pf
  ├── file3.pf
  └── subdirectory/
    ├── file4.pf
    └── subsubdirectory/
      ├── file5.pf
      └── file6.pf

$ prefetch2es /pffiles/ # The path is recursively expanded to all .pf files.

Options

--version, -v

--help, -h

--quiet, -q
  Suppress standard output
  (default: False)

--multiprocess, -m:
  Enable multiprocessing for faster processing.
  (default: False)

--size:
  Maximum documents per output chunk (default: 500)

--host:
  Elasticsearch host address (default: localhost)

--port:
  Elasticsearch port number (default: 9200)

--index:
  Destination index name (default: prefetch2es)

--scheme:
  Protocol scheme to use (http or https) (default: http)

--pipeline:
  Elasticsearch ingest pipeline to use (default: )

--timeline:
  Enable timeline analysis mode for forensic investigation
  (default: False)

--tags:
  Comma-separated tags to add to records in Standard and Timeline modes
  (e.g., hostname, domain name) (default: )

--login:
  Username for Elasticsearch authentication

--pwd:
  Password for Elasticsearch authentication

--no-verify-certs:
  Disable TLS certificate verification (default: False)

--ca-certs:
  Path to a CA certificate bundle for TLS verification (default: None)

Examples

When using from the command line:

$ prefetch2es /path/to/your/file.pf --host=localhost --port=9200 --index=foobar --size=500

When using from a Python script:

if __name__ == '__main__':
    prefetch2es('/path/to/your/file.pf', host='localhost', port=9200, index='foobar', chunk_size=500)

With Elasticsearch authentication:

$ prefetch2es /path/to/your/file.pf --host=localhost --port=9200 --index=foobar --login=elastic --pwd=******

With timeline analysis mode:

$ prefetch2es /path/to/your/file.pf --timeline --index=prefetch-timeline

With custom tags for system identification:

# Single tag
$ prefetch2es /path/to/your/file.pf --timeline --tags="WORKSTATION-01" --index=prefetch-timeline

# Multiple tags (comma-separated)
$ prefetch2es /path/to/your/file.pf --timeline --tags="WORKSTATION-01,FOO,BAR" --index=prefetch-timeline

TLS verification is enabled by default. For a private CA, use --ca-certs /path/to/ca.pem.

Appendix

prefetch2json

prefetch2json converts Windows Prefetch files to JSON.

$ prefetch2json /path/to/your/file.pf -o /path/to/output/target.json

Use --format jsonl (or ndjson) to write one record per line. The default output extension is .jsonl:

$ prefetch2json /path/to/your/file.pf --format jsonl

You can also convert Windows Prefetch files directly into a Python list[dict]:

from prefetch2es import prefetch2json

if __name__ == '__main__':
    filepath = '/path/to/your/file.pf'
    result: list[dict] = prefetch2json(filepath)

Input and extraction errors are reported to stderr while remaining inputs are processed. Partial extraction exits 1, even with --quiet; output and Elasticsearch errors stop processing.

Python APIs raise PartialExtractionError on recovered partial results; JSON APIs expose completed records in the exception's records attribute.

With timeline analysis and custom tags:

$ prefetch2json /path/to/your/file.pf --timeline --tags="WORKSTATION-01,FINANCE" -o output.json

Timeline Analysis

Standard mode creates one record per Prefetch file. Timeline mode creates one record per recorded execution timestamp.

$ prefetch2es /path/to/your/file.pf --timeline --index=prefetch-timeline

Output Format Examples

Standard Mode

[
  {
    "name": "CMD.EXE",
    "filenames": [
      "\\VOLUME{01d1217a9c4c6779-8c9f49ec}\\WINDOWS\\SYSTEM32\\DISKPART.EXE",
      "\\VOLUME{01d12173f395296c-66f451bc}\\CMDER129\\VENDOR\\CLINK\\CLINK_DLL_X64.DLL",
      "\\VOLUME{01d1217a9c4c6779-8c9f49ec}\\WINDOWS\\SYSTEM32\\NTDLL.DLL",
      "\\VOLUME{01d1217a9c4c6779-8c9f49ec}\\WINDOWS\\SYSTEM32\\CMD.EXE",
      ...
    ],
    "exec_count": 55,
    "last_exec_times": [
      "2016-01-12T20:07:03.981069Z",
      "2016-01-10T02:29:02.788726Z",
      "2016-01-04T23:27:28.405869Z",
      "2016-01-04T23:27:28.726891Z",
      "2016-01-04T18:38:10.935655Z",
      "2016-01-04T18:38:11.344163Z",
      "2015-12-31T21:42:29.667018Z",
      "2015-12-17T22:34:21.579861Z"
    ],
    "format_version": 30,
    "prefetch_hash": "D269B812",
    "number_of_volumes": 2,
    "number_of_filenames": 62,
    "number_of_file_metrics_entries": 62,
    "metrics": [
      {
        "filename": "\\VOLUME{01d1217a9c4c6779-8c9f49ec}\\WINDOWS\\SYSTEM32\\DISKPART.EXE",
        "file_reference": "0X1000000009EF4"
      },
      {
        "filename": "\\VOLUME{01d12173f395296c-66f451bc}\\CMDER129\\VENDOR\\CLINK\\CLINK_DLL_X64.DLL",
        "file_reference": "0X100000000B5A6"
      },
      {
        "filename": "\\VOLUME{01d1217a9c4c6779-8c9f49ec}\\WINDOWS\\SYSTEM32\\NTDLL.DLL",
        "file_reference": "0X10000000575F4"
      },
      {
        "filename": "\\VOLUME{01d1217a9c4c6779-8c9f49ec}\\WINDOWS\\SYSTEM32\\CMD.EXE",
        "file_reference": "0X1000000009CA8"
      },
      ...
    ],
    "volumes": [
      {
        "path": "\\VOLUME{01d12173f395296c-66f451bc}",
        "creation_time": "2015-11-17T20:10:06.204964Z",
        "serial_number": "66F451BC"
      },
      {
        "path": "\\VOLUME{01d1217a9c4c6779-8c9f49ec}",
        "creation_time": "2015-11-17T20:57:46.243468Z",
        "serial_number": "8C9F49EC"
      }
    ],
    "source_file": "/workspace/tests/cache/CMD.EXE-D269B812.pf",
    "tags": [
      "prefetch"
    ]
  },
  ...
]

Timeline Mode

[
  {
    "@timestamp": "2016-01-12T20:07:03.981069Z",
    "event": {
      "action": "prefetch-executed",
      "category": [
        "process"
      ],
      "type": [
        "start"
      ],
      "kind": "event",
      "provider": "prefetch",
      "module": "windows",
      "dataset": "windows.prefetch"
    },
    "process": {
      "name": "CMD.EXE",
      "start": "2016-01-12T20:07:03.981069Z"
    },
    "windows": {
      "prefetch": {
        "exec_count": 55,
        "hash": {
          "prefetch": "D269B812"
        },
        "format_version": 30,
        "volumes": [
          {
            "path": "\\VOLUME{01d12173f395296c-66f451bc}",
            "creation_time": "2015-11-17T20:10:06.204964Z",
            "serial_number": "66F451BC"
          },
          {
            "path": "\\VOLUME{01d1217a9c4c6779-8c9f49ec}",
            "creation_time": "2015-11-17T20:57:46.243468Z",
            "serial_number": "8C9F49EC"
          }
        ],
        "metrics": [
          {
            "filename": "\\VOLUME{01d1217a9c4c6779-8c9f49ec}\\WINDOWS\\SYSTEM32\\DISKPART.EXE",
            "file_reference": "0X1000000009EF4"
          },
          {
            "filename": "\\VOLUME{01d12173f395296c-66f451bc}\\CMDER129\\VENDOR\\CLINK\\CLINK_DLL_X64.DLL",
            "file_reference": "0X100000000B5A6"
          },
          {
            "filename": "\\VOLUME{01d1217a9c4c6779-8c9f49ec}\\WINDOWS\\SYSTEM32\\NTDLL.DLL",
            "file_reference": "0X10000000575F4"
          },
          {
            "filename": "\\VOLUME{01d1217a9c4c6779-8c9f49ec}\\WINDOWS\\SYSTEM32\\CMD.EXE",
            "file_reference": "0X1000000009CA8"
          },
          ...
        ]
      }
    },
    "log": {
      "file": {
        "path": "/workspace/tests/cache/CMD.EXE-D269B812.pf"
      }
    },
    "tags": [
      "prefetch"
    ]
  },
  ...
]

Supported Prefetch versions

• Windows XP
• Windows 2003
• Windows Vista (SP0)
• Windows 7 (SP0)
• Windows 8.1
• Windows 10 1809
• Windows 10 1903
• Windows 11 24H2

For more information, please visit libscca.

Contributing

The source code for prefetch2es is hosted on GitHub. You can download, fork, and review it from this repository: https://github.com/sumeshi/prefetch2es. Please report issues and feature requests. 🍣 🍣 🍣

License

prefetch2es is released under the MIT License.

Third-party licenses

Standalone releases are ZIP archives containing both commands and LICENSES.txt with project, runtime dependency and Python license notices. Keep the notices with the executables when redistributing them.

The ZIP also contains the libscca source used for the build and the application release source under sources/. See REBUILD.md to rebuild with a modified libscca.

The standalone binaries distributed via GitHub Releases bundle libscca / pyscca, which is licensed under the GNU Lesser General Public License v3.0 or later (LGPL-3.0-or-later).

• Upstream source: https://github.com/libyal/libscca
• Bundled version: libscca-python==20260527 (source: https://github.com/libyal/libscca/releases/tag/20260527)
• License text: https://github.com/libyal/libscca/blob/main/COPYING.LESSER

You may obtain, modify, and rebuild libscca from the upstream source above in accordance with the LGPL.