Search Results for "extreme kernel vince"

A magisk module tweaker / optimizer which have the objective of improving the user-experience.

designed for better battery backup without compromising much on the performance side

The HackSys Extreme Vulnerable Driver (HEVD) is a Windows Kernel driver that is intentionally vulnerable. It has been developed for security researchers and enthusiasts to improve their skills in kernel-level exploitation. HEVD offers a range of vulnerabilities, from simple stack buffer overflows to more complex issues such as use-after-free, pool buffer overflows, and race conditions. This allows researchers to explore exploitation techniques for each implemented vulnerability.

This is a driver for the Antec series of Watercoolers, specifically the 1250 , 950, and 650. Other compatible coolers which use the Antec GRID protocol will probably also work. For Older Kuhlers that use the ASETEK Protcol, please see the H20-920 page.

Very fast cross-platform php script that describes the host server in extreme detail, giving information such as ram usage, disk space, raid arrays, hardware, network cards, kernel, os, samba/cups/truecrypt status, temps, disks, and much more. Latest code is here: https://github.com/jrgp/linfo

ESSPEE - Extreme Security Scanning Penetration testing & Exploitation Environment Ubuntu 12.04 LTS (Precise Pangolin) is purposefully selected as the base Operating System to obtain supports from Ubuntu for a long duration (till Apr 2017). It is packed with featured security tools with very less resource consumption and higher degree of stability. Thanks to Back Track, Blackbuntu, CAINE and DEFT and many others for inspiration. Being a sole developer to this distro, I wish it would...

Entirely source-based system. The goal is to provide extremely flexible but easy-to-compile Linux-like OS ready for SSI clusters. Installation procedure is network-independent and automated.

Dynamic Probes is a linux debugging facility that will operate under the most extreme software conditions. It offers a technique for debugging in both kernel and user space by allowing you to insert "probes" in running programs.

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. Burn emphasizes performance, flexibility, and portability for both training and inference. Developed in Rust, it is designed to empower machine learning engineers and researchers across industry and academia.