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Efficient Compliance
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Security configuration is complex. With thousands of group policies available in Windows, choosing the “best” setting is difficult. It’s not always obvious which permutations of policies are requir…
Hackish way to intercept and modify non-HTTP protocols through Burp & others.
Ghidra is a software reverse engineering (SRE) framework
Penetration Testing For - Web | Mobile | API | Thick Client | Source Code Review | DevSecOps | Wireless | Network Pentesting, etc...
A OWASP Based Checklist With 80+ Test Cases
HardeningKitty and Windows Hardening Settings
Fast and customizable vulnerability scanner based on simple YAML based DSL.
Harden Windows Safely, Securely using Official Supported Microsoft methods and proper explanation | Always up-to-date and works with the latest build of Windows | Provides tools and Guides for Pers…
GUI to Manage Software Restriction Policies and harden Windows Home OS
Utility for configuring Windows 10 built-in Defender antivirus settings.
HardeningKitty - Checks and hardens your Windows configuration
Snyk CLI scans and monitors your projects for security vulnerabilities.
Dependency-Track is an intelligent Component Analysis platform that allows organizations to identify and reduce risk in the software supply chain.
A simple tool for visually comparing two PDF files
ModSecurity is an open source, cross platform web application firewall (WAF) engine for Apache, IIS and Nginx. It has a robust event-based programming language which provides protection from a rang…
Export all instance from a matrix req instance
Rename your screenshots with ollama LLaVA, GPT-4o and macOS OCR
The modern API client that lives in your terminal.
Make awesome display tables using Python.
A central repository to keep track of the status of work on and support for free-threaded CPython (see PEP 703), with a focus on the scientific and ML/AI ecosystem
An OpenAPI (fka Swagger) client & converter in python, which is type-safe, dynamic, spec-compliant.
The Browser Exploitation Framework Project
Softmax for Arbitrary Label Trees (SALT) is a framework for training segmentation networks using conditional probabilities to model hierarchical relationships in the data.