dangerzone
CPython
dangerzone | CPython | |
---|---|---|
21 | 1,320 | |
3,199 | 59,954 | |
6.6% | 1.5% | |
9.6 | 10.0 | |
6 days ago | 2 days ago | |
Python | Python | |
GNU Affero General Public License v3.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dangerzone
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Dangerzone: Convert PDFs, documents, or images to a safe PDF
I don't have experience with Qubes in order to know what the files do, but this repo references two files in a qubes directory: e.g. https://github.com/freedomofpress/dangerzone/blob/v0.6.0/qub...
- dangerzone: Take potentially dangerous PDFs, office documents, or images and convert them to safe PDFs
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Ask HN: How can I security-sandbox email attachment opening?
start here: https://github.com/freedomofpress/dangerzone
i've never used it, but i've been meaning to check it out. at least it should give you a jumping off point for further investigation.
if that is insufficient, use proofpoint.
for archives that are tickling bugs, you have to use a similar technique. it's not enough to analyze them and send them on as-is. you have to unpack in a sandbox (which will be detectable, no 2 ways about it, but the question is will anyone expend enough effort to detect -- no, not for your use case, seeing as how you're asking the question at all), process with dangerzone or dangerzone-like tool, then re-archive it and let the user see only that new archive.
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Ask HN: Why not cloud instead of Qubes “trusted PDFs” or Dangerzone?
I've read about the concept of "trusted PDFs" [1] from Qubes OS and the Dangerzone project [2].
I noticed people saying they use such tools to open applicant attachments in the context of employee hiring processes.
Isn't it simpler to just open these untrusted files in a cloud service like Google Drive or Microsoft Office online?
[1] https://blog.invisiblethings.org/2013/02/21/converting-untrusted-pdfs-into-trusted.html
[2] https://github.com/freedomofpress/dangerzone
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QubesOS – A reasonably secure operating system
You can use something similar on macOS, Windows or Linux, based on Docker containers, see Dangerzone: https://github.com/freedomofpress/dangerzone
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Help an independant journalist survive :)
https://github.com/freedomofpress/dangerzone has been a great tool to use as an added layer of defense. Definitely check out this users other projects as you can tell by the users name that they are made for journalists.
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Downloading pdf’s & Javascript
This is exactly what DangerZone is built for. Takes ‘dangerous’ PDFs, converts them to images and back (via OCR) so there’s nothing potentially harmful inside. Does all the conversion inside docker containers so there’s little chance of a sandbox escape or network access
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How can I implement this open-source tool as an API?
The source code for the CLI application is probably the best place to look for an example of how to use the internal parts of the code which perform the actual conversion: https://github.com/freedomofpress/dangerzone/blob/main/dangerzone/cli.py
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Secure PDF Viewer app version 16 released
Check out danger zone - https://github.com/freedomofpress/dangerzone
CPython
- A library to assist writing memory-unsafe code in "pure" Python
- OpenBSD 7.3 を 7.4 へ アップグレード
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Bitcoin Sentiment Analysis using Python and X (Formerly Twitter)
Thankfully, Python, the go-to coding language for loads of developers, is here to save the day. It's got some awesome features for diving into text sentiment analysis. With cool libraries like Tweepy, we can sift through X(Twitter) data and snag those interesting tweets about Bitcoin. And then there's TextBlob, a clever tool for understanding the sentiment in text. When it's time to clean up and organize all that data, libraries like pandas and numpy are there to help out. And let's not forget about matplotlib, the master of visualisations that can help us see the trends in sentiment crystal clear. Armed with these tools, developers can really dig deep into social media data and figure out what the general public thinks about Bitcoin.
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scrape-yahoo-finance
Web Scraping Tool Development: Develop a Python based web scraping tool capable of extracting data from targeted web pages on Yahoo Finance and presenting the data extracted in a readable format. Our target site relies on AJAX to load and update the data dynamically so we will need a tool that is capable of processing JavaScript.
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Employee Management System using Python.
Dealing with piles of papers or scattered Excel sheets for employee information can be a real headache, right? Well, what if I told you there's a smoother way to handle all that? A system that lets you easily store, update, and find details about your employees in just a few clicks. Sounds neat, doesn't it? In this article, we're going to explore creating an employee management system using Python, Tkinter, and SQLite3.
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Build a Product Receipt Generator using Python.
Python is a versatile tool, and today we're delving into a practical use case that can simplify your daily routines. With the datetime module at your disposal, handling dates and times becomes a breeze, making it perfect for crafting accurate and dynamic product receipts. Whether you're a seasoned Python pro or just starting your coding journey, this article will guide you through each step with ease.
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Build a Music Player with Python
When working in Visual Studio Code (VS Code), create a new Python file for our music player project. It's helpful to have separate files for different parts of your project.
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PEP 744 – JIT Compilation
> It provides a meaningful performance improvement for at least one popular platform (realistically, on the order of 5%).
At first it will not provide a large boost, but it will set the foundations for larger gains in subsequent releases. They link a list of some proposed improvements already underway, with improvement estimates, at https://github.com/python/cpython/issues/115802
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Featured Mod of the Month: Phil Ashby
After that, with the basics of software engineering understood, I would move on to a wider use language, with a bigger ecosystem to employ, most likely Python. This would expose me to large system design / distributed systems and architectural challenges...
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Convert Images Into Pencil Sketch
Have you ever felt like your photos needed a little extra touch to stand out? Well, get ready because we're about to learn a cool Python trick! We're going to take ordinary photos and turn them into awesome pencil sketches using Python and OpenCV. This will make your pictures look like they were drawn by hand!
What are some alternatives?
pattern-matching-in-python - Pattern Matching in Python
RustPython - A Python Interpreter written in Rust
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ipython - Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
ctx - A minimal but opinionated dict/object combo (like Bunch).
Vulpix - Fast, unopinionated, minimalist web framework for .NET core inspired by express.js
bandit - Bandit is a tool designed to find common security issues in Python code.
Visual Studio Code - Visual Studio Code
kad - A simple Python package converting dictionary keys to attributes of a class.
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Contents - Community documentation, code, links to third-party resources, ... See the issues and pull requests for pending content. Contributions are welcome !
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more