Search Results for "python compile source code"
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Showing 7 open source projects for "python compile source code"
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thc-hydra
Shows how easy it would be to gain unauthorized access to a system
Number one of the biggest security holes are passwords, as every password security study shows. This tool is a proof of concept code, to give researchers and security consultants the possibility to show how easy it would be to gain unauthorized access from remote to a system. There are already several login hacker tools available, however, none does either support more than one protocol to attack or support parallelized connects. It was tested to compile cleanly on Linux, Windows/Cygwin... -
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Gobuster
Directory/File, DNS and VHost busting tool written in Go
Gobuster is a tool used to brute-force. This project is born out of the necessity to have something that didn't have a fat Java GUI (console FTW), something that did not do recursive brute force, something that allowed me to brute force folders and multiple extensions at once, something that compiled to native on multiple platforms, something that was faster than an interpreted script (such as Python), and something that didn't require a runtime. Provides several modes, like the classic... -
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SIPVicious
Security tools that can be used to audit SIP based VoIP systems
SIPVicious OSS has been around since 2007 and is actively updated to help security teams, QA and developers test SIP-based VoIP systems and applications. Open-source security suite for auditing SIP based VoIP systems. Also known as friendly-scanner, it is freely available to help pentesters, security teams and developers quickly test their SIP systems. Download the latest source code from git or the latest release, send pull requests and open issues. Install the latest and greatest release... -
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FireCX
Open source OWASP penetration testing tool written in Python 3
FireCX is an open source OWASP penetration testing tool written in Python 3, that can speed up the the process of finding common PHP vulnerabilities in PHP code, i.e. command injection, local/remote file inclusion and SQL injection. -
No-Nonsense Code-to-Cloud Security for Devs | AikidoAikido provides a unified security platform for developers, combining 12 powerful scans like SAST, DAST, and CSPM. AI-driven AutoFix and AutoTriage streamline vulnerability management, while runtime protection blocks attacks.
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SHAD0W
A post exploitation framework designed to operate covertly
It uses a range of methods to evade EDR and AV while allowing the operator to continue using tooling and tradecraft they are familiar with. Its powered by Python 3.8 and C, and uses Donut for payload generation. By using Donut along with the process injection capabilities of SHAD0W, it provides the operator the ability to execute .NET assemblies, DLLs, EXEs, JS, VBS or XSLs fully inside the memory. Dynamically resolved syscalls are heavily used to avoid userland API hooking, anti-DLL injection... -
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mssqlproxy
Toolkit aimed to perform lateral movement in restricted environments
mssqlproxy is a toolkit aimed to perform lateral movement in restricted environments through a compromised Microsoft SQL Server via socket reuse. The client requires impacket and sysadmin privileges on the SQL server. The first step is to execute code in the SQL Server process context. As extended stored procedures are going to be deprecated in future versions of MSSQL, we pay attention to Microsoft recommendations and thus, use CLR assemblies instead. -
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gxLibrary : C++ (CUDA+AMP+CPU)
C++ library for easy simulations on any CUDA/AMP/CPU or remote PC
Helps to program ( in C++) simulations or long-running calculations with many iterations. Easily write C++ code that is same as single-threaded ( or shorter and simpler) , and gxLibrary will compile and run that code as massive multi-threaded on any available GPU (CUDA/AMP) or CPU, either on local or remote PC. Write code functions once, just like they would be written for regular single-threaded cases - no need to write separate code for CUDA or AMP or CPU, or to modify code for parallel...
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