dfIndexeddb
dfindexeddb is an experimental Python tool for performing digital forensic analysis of IndexedDB and LevelDB files.
It parses LevelDB, IndexedDB and JavaScript structures from these files without requiring native libraries. (Note: only a subset of IndexedDB key types and JavaScript types for Firefox, Safari and Chromium-based browsers are currently supported).
The content of IndexedDB files is dependent on what a web application stores locally/offline using the web browser's IndexedDB API. Examples of content might include:
- text from a text/source-code editor application,
- emails and contact information from an e-mail application,
- images and metadata from a photo gallery application
Installation
- [Linux] Install the snappy compression development package
$ sudo apt install libsnappy-dev
- Create a virtual environment and install the package
$ python3 -m venv .venv
$ source .venv/bin/activate
$ pip install dfindexeddb
Optional plugins
To also install the dependencies for leveldb/indexeddb plugins, run
$ pip install 'dfindexeddb[plugins]'
Installation from source
- [Linux] Install the snappy compression development package
$ sudo apt install libsnappy-dev
-
Clone or download/unzip the repository to your local machine.
-
Create a virtual environment and install the package
$ python3 -m venv .venv
$ source .venv/bin/activate
$ pip install .
Optional plugins
To also install the dependencies for leveldb/indexeddb plugins, run
$ pip install '.[plugins]'
Usage
Two CLI tools for parsing IndexedDB/LevelDB files are available after installation:
IndexedDB
$ dfindexeddb -h
usage: dfindexeddb [-h] {blink,gecko,db,ldb,log} ...
A cli tool for parsing IndexedDB files
positional arguments:
{blink,gecko,db,ldb,log}
blink Parse a file as a blink-encoded value.
gecko Parse a file as a gecko-encoded value.
db Parse a directory/file as IndexedDB.
ldb Parse a ldb file as IndexedDB.
log Parse a log file as IndexedDB.
options:
-h, --help show this help message and exit
Examples:
| Platform / Source | Format | Command |
|---|---|---|
| Firefox (sqlite) | JSON | dfindexeddb db -s SOURCE --format firefox -o json |
| Safari (sqlite) | JSON-L | dfindexeddb db -s SOURCE --format safari -o jsonl |
| Chrome (LevelDB/sqlite) | JSON | dfindexeddb db -s SOURCE --format chrome |
| Chrome (.ldb) | JSON-L | dfindexeddb ldb -s SOURCE -o jsonl |
| Chrome (.log) | Python repr | dfindexeddb log -s SOURCE -o repr |
| Chrome (Blink) | JSON | dfindexeddb blink -s SOURCE |
Options:
| Option | Description |
|---|---|
--filter_key [term] |
Performs a substring match on the string representation of the record's key. |
--filter_value [term] |
Performs a substring match on the string representation of the record's value. If --load_blobs is used, it also searches within any associated blob data. |
--include_raw_data |
Include the raw key and value bytes in the record output. |
--load_blobs |
For Firefox, Safari and Chromium-based browsers, attempt to find and read associated blob files. |
Note: Refer to source to understand the structure of the records and how the filter options available in the CLI tool work. For more fine-grained control over filtering, it is preferable to use
jqto filter and transform the JSON output.
LevelDB
$ dfleveldb -h
usage: dfleveldb [-h] {db,log,ldb,descriptor} ...
A cli tool for parsing leveldb files
positional arguments:
{db,log,ldb,descriptor}
db Parse a directory as leveldb.
log Parse a leveldb log file.
ldb Parse a leveldb table (.ldb) file.
descriptor Parse a leveldb descriptor (MANIFEST) file.
options:
-h, --help show this help message and exit
Examples
| Source | Type | Command |
|---|---|---|
| LevelDB Folder | Records | dfleveldb db -s SOURCE |
| Log file (.log) | Physical Records | dfleveldb log -s SOURCE -t physical_records |
| Log file (.log) | Blocks | dfleveldb log -s SOURCE -t blocks |
| Log file (.log) | Write Batches | dfleveldb log -s SOURCE -t write_batches |
| Log file (.log) | Internal Key Records | dfleveldb log -s SOURCE -t parsed_internal_key |
| Table file (.ldb) | Records | dfleveldb ldb -s SOURCE -t record |
| Table file (.ldb) | Blocks | dfleveldb ldb -s SOURCE -t blocks |
| Descriptor (MANIFEST) | Version Edits | dfleveldb descriptor -s SOURCE -t versionedit |
Optional Plugins
To apply a plugin parser for a leveldb file/folder, add the
--plugin [Plugin Name] argument. Currently, there is support for the
following artifacts:
| Plugin Name | Artifact Name |
|---|---|
ChromeNotificationRecord |
Chrome/Chromium Notifications |
Metadata
Release files for dfindexeddb 20260210
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dfindexeddb-20260210.tar.gz | 69.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dfindexeddb-20260210-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 160.5 kB
Release files / dfindexeddb-20260210.tar.gz
| Download URL | dfindexeddb-20260210.tar.gz |
|---|---|
| Size | 69.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e1a8447b82e9a21d28a8647a908ec9d471067ef295133bb7a90fb7ca480577f6
|
|
BLAKE2b-256 checksum How to use checksums |
459f5010f380e5300083628321935737a6cb34c7a943bd65d1ab64efcdb0452e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
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PyPI Publish Attestation
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Transparency logRelease files / dfindexeddb-20260210-py3-none-any.whl
| Download URL | dfindexeddb-20260210-py3-none-any.whl |
|---|---|
| Size | 91.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
c037eb764b8bc437e2052d9d54952de1ef97aec4c81d5676b490a2901fdf4290
|
|
BLAKE2b-256 checksum How to use checksums |
c8102912124299c87e7184bcee47f3895d23d11571b877e3dface338f510bb8b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Feb 10, 2026.
Transparency log