A tool for detecting and masking secrets
Microsoft Azure Security Center Management Client Library for Python
Microsoft Corporation Azure Keyvault Securitydomain Client Library for Python
Argon2 for Python
JOSE implementation in Python
Type annotations for boto3 SecurityHub 1.42.89 service generated with mypy-boto3-builder 8.12.0
Type annotations for boto3 SecurityIncidentResponse 1.42.3 service generated with mypy-boto3-builder 8.12.0
Type annotations for boto3 CodeGuruSecurity 1.42.3 service generated with mypy-boto3-builder 8.12.0
Type annotations for boto3 SecurityLake 1.42.3 service generated with mypy-boto3-builder 8.12.0
comprehensive password hashing framework supporting over 30 schemes
Security oriented static analyser for python code.
Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more.
A tiny, secure, URL-friendly, unique string ID generator for Python
Tool for detecting secrets in the codebase
Zope Security Framework
Tool for detecting secrets in the codebase
Google Cloud Securitycenter API client library
AWS IAM Security Assessment tool that identifies violations of least privilege and generates a risk-prioritized HTML report.
Python tools to analyze security characteristics of MS Office and OLE files (also called Structured Storage, Compound File Binary Format or Compound Document File Format), for Malware Analysis and Incident Response #DFIR
Generate locked-down AWS IAM Policies
Django Content Security Policy support.
Socket Security CLI for CI/CD
A multi-language, cross-platform library that provides cryptographic APIs that are secure, easy to use correctly, and hard(er) to misuse.
Keep track of failed login attempts in Django-powered sites.
HTTP security headers for Flask.
Dynamic instrumentation toolkit for developers, reverse-engineers, and security researchers
Marker library to detect whether urllib3 was installed with the deprecated [secure] extra
Enable users to hijack (=login as) and work on behalf of another user.
CVSS2/3/4 library with interactive calculator for Python 2 and Python 3
Python interface to the Landlock Linux Security Module.
Microsoft Azure Security Insight Management Client Library for Python
Type annotations for aiobotocore SecurityHub 3.5.0 service generated with mypy-boto3-builder 8.12.0
The Model Context Protocol (MCP) Atlassian integration is an open-source implementation that bridges Atlassian products (Jira and Confluence) with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Atlassian tools while maintaining data privacy and security. Key features include:
security for aiohttp.web
Secure Peer Protocol
Client and server side session timeout with warnings
Simple symmetric GPG file encryption and decryption
Simple security for Flask apps.
securitylake data for botocore. See the `botocore-a-la-carte` package for more info.
MCP server for querying security framework controls (SCF) - map between ISO 27001, NIST CSF, DORA, PCI DSS, and more
Security Bench - Security testing for LLM pipelines