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70 changes: 70 additions & 0 deletions .github/workflows/python-publish.yml
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# This workflow will upload a Python Package to PyPI when a release is created
# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python#publishing-to-package-registries

# This workflow uses actions that are not certified by GitHub.
# They are provided by a third-party and are governed by
# separate terms of service, privacy policy, and support
# documentation.

name: Upload Python Package

on:
release:
types: [published]

permissions:
contents: read

jobs:
release-build:
runs-on: ubuntu-latest

steps:
- uses: actions/checkout@v4

- uses: actions/setup-python@v5
with:
python-version: "3.x"

- name: Build release distributions
run: |
# NOTE: put your own distribution build steps here.
python -m pip install poetry
python -m poetry build

- name: Upload distributions
uses: actions/upload-artifact@v4
with:
name: release-dists
path: dist/

pypi-publish:
runs-on: ubuntu-latest
needs:
- release-build
permissions:
# IMPORTANT: this permission is mandatory for trusted publishing
id-token: write

# Dedicated environments with protections for publishing are strongly recommended.
# For more information, see: https://docs.github.com/en/actions/deployment/targeting-different-environments/using-environments-for-deployment#deployment-protection-rules
environment:
name: pypi
# OPTIONAL: uncomment and update to include your PyPI project URL in the deployment status:
# url: https://pypi.org/p/YOURPROJECT
#
# ALTERNATIVE: if your GitHub Release name is the PyPI project version string
# ALTERNATIVE: exactly, uncomment the following line instead:
# url: https://pypi.org/project/YOURPROJECT/${{ github.event.release.name }}

steps:
- name: Retrieve release distributions
uses: actions/download-artifact@v4
with:
name: release-dists
path: dist/

- name: Publish release distributions to PyPI
uses: pypa/gh-action-pypi-publish@release/v1
with:
packages-dir: dist/
174 changes: 174 additions & 0 deletions .gitignore
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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec

# Installer logs
pip-log.txt
pip-delete-this-directory.txt

# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
.pybuilder/
target/

# Jupyter Notebook
.ipynb_checkpoints

# IPython
profile_default/
ipython_config.py

# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version

# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock

# UV
# Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
#uv.lock

# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock

# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
# in version control.
# https://pdm.fming.dev/latest/usage/project/#working-with-version-control
.pdm.toml
.pdm-python
.pdm-build/

# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/

# Celery stuff
celerybeat-schedule
celerybeat.pid

# SageMath parsed files
*.sage.py

# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/

# Spyder project settings
.spyderproject
.spyproject

# Rope project settings
.ropeproject

# mkdocs documentation
/site

# mypy
.mypy_cache/
.dmypy.json
dmypy.json

# Pyre type checker
.pyre/

# pytype static type analyzer
.pytype/

# Cython debug symbols
cython_debug/

# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/

# Ruff stuff:
.ruff_cache/

# PyPI configuration file
.pypirc
38 changes: 28 additions & 10 deletions README.md
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# fridump3
# fridump3.1

Fridump is an open source memory dumping tool, primarily aimed to penetration testers and developers. Fridump is using the Frida framework to dump accessible memory addresses from any platform supported. It can be used from a Windows, Linux or Mac OS X system to dump the memory of an iOS, Android or Windows application.

This project is based on the following project: [https://github.com/Nightbringer21/fridump](https://github.com/Nightbringer21/fridump) and the pending PR concerning the python3 support (especially from [georgepetz](https://github.com/georgepetz) . Additionally I added the network support in addition to the USB support.
## Requirements

- **Python** 3.7+
- **Frida** 17+

## Installation

Simply run one of the following commands:
> :warning: pipx is recommended for system or user wide installations
```
pipx install fridump3
pip install fridump3
```

FYI: I will destroy this repo is the Fridump author will integrate the pending PR concerning Python3 support.
## Usage

Usage
---

```
usage: fridump [-h] [-o dir] [-u] [-H HOST] [-v] [-r] [-s] [--max-size bytes] process
usage: fridump3 [-h] [-o dir] [-u] [-H HOST] [-r] [-s] [--max-size bytes]
[--log-level {none,debug,info,warning,error,critical}]
[--log-filename LOG_FILENAME]
process

positional arguments:
process the process that you will be injecting to
process the process name, not package name that you will be injecting to

optional arguments:
options:
-h, --help show this help message and exit
-o dir, --out dir provide full output directory path. (def: 'dump')
-o, --out dir provide full output directory path. (def: "dump")
-u, --usb device connected over usb
-H HOST, --host HOST device connected over IP
-v, --verbose verbose
-H, --host HOST device connected over IP
-r, --read-only dump read-only parts of memory. More data, more errors
-s, --strings run strings on all dump files. Saved in output dir.
--max-size bytes maximum size of dump file in bytes (def: 20971520)
--log-level, -l {none,debug,info,warning,error,critical}
level of debug you wish to display.
--log-filename LOG_FILENAME
output file used to store logs
```
39 changes: 0 additions & 39 deletions dumper.py

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