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blind-sec/security-projects

Analysis updated 2026-05-18

0PythonAudience · developerComplexity · 2/5Setup · easy

TLDR

A growing collection of Python security tools, starting with a secret scanner that finds leaked passwords and keys in code and git history.

Mindmap

mindmap
  root((security projects))
    What it does
      Collection of tools
      Secret scanner
      Automation scripts
    Tech stack
      Python
    Use cases
      Find leaked secrets
      Scan git history
      Lightweight checks
    Philosophy
      Unit tested
      Minimal dependencies
      Cross platform

Code map

Detail Auto

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filefunction / class

What do people build with it?

USE CASE 1

Scan a codebase for accidentally committed passwords, API keys, or tokens.

USE CASE 2

Check git history for secrets that were committed and later removed but still exist in old commits.

USE CASE 3

Add a lightweight, dependency free security check to a Python project.

What is it built with?

Python

How does it compare?

blind-sec/security-projects0xallam/my-recipe0xhassaan/nn-from-scratch
Stars00
LanguagePythonPythonPython
Last pushed2022-11-22
MaintenanceDormant
Setup difficultyeasymoderatemoderate
Complexity2/52/54/5
Audiencedevelopergeneraldeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

In plain English

security-projects is a collection of security tools and automation scripts written in Python, described by its author as built for real world use rather than as demos or learning exercises. The README is short and lists one tool so far, with room to add more over time. The tool currently included is called secret-scan. It scans codebases and git history for secrets, things like accidentally committed passwords, API keys, or tokens. According to the README, it uses over 100 rules along with Shannon entropy, a mathematical way of spotting text that looks random enough to be a secret even if it does not match a known pattern. It is described as having zero dependencies, meaning it does not rely on any other installed packages to run. The project follows a stated philosophy for every tool it contains: each one ships with its own unit tests, each one aims for zero or minimal dependencies so it can run anywhere Python is installed, and each one is meant to work across Linux, macOS, and Windows. To use any tool in the collection, you clone the repository, move into that tool's folder, and install it in editable mode with pip. The README does not go into further detail about command line usage, configuration options, or example output for secret-scan, so anyone trying it would need to look inside the tool's own folder for more specifics. Because the README itself is brief, this description covers everything it states. There is no mention yet of a license, and the project has no stars at the time of writing, suggesting it is a new or early stage effort.

Copy-paste prompts

Prompt 1
Show me how to clone this repo and install the secret-scan tool with pip.
Prompt 2
Explain what Shannon entropy means and how it helps detect secrets in code.
Prompt 3
Help me run secret-scan against my own git repository's history.
Prompt 4
What kinds of secrets would a 100+ rule scanner like this typically catch?

Frequently asked questions

What is security-projects?

A growing collection of Python security tools, starting with a secret scanner that finds leaked passwords and keys in code and git history.

What language is security-projects written in?

Mainly Python. The stack also includes Python.

How hard is security-projects to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is security-projects for?

Mainly developer.

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