Hashcat-Cheatsheet

Hashcat-Cheatsheet Hashcat Cheatsheet for OSCP https://hashcat.net/wiki/doku.php?id=hashcat Identify Hashes hash-identifier Example Hashes: https://hashcat.net/wiki/doku.php?id=examplehashes MAX POWER! I have found that I can squeeze some more power out of my hash cracking by adding these...

Quantum-Algorithm-for-Elliptic-Curve-Discrete-Logarithms-with-Space-Efficient-Point-Addition

Quantum Algorithm for Elliptic Curve Discrete Logarithms with Space-Efficient Point Addition This repository contains Qiskit code for resource estimation of the space-efficient quantum modular inversion and affine point-addition circuits used in elliptic-curve discrete logarithm settings. The...

redteam-plan

🔥 🚒 Planning a Red Team exercise This document helps inform red team planning by contrasting against the very specific red team style described in Red Teams. This method expresses several biases to optimize for blue team value and enthusiasm. It specifically avoids attempts to motivate by red tea...

Uncensored-AI

Heretic: Eliminación automática de censura para modelos de lenguaje Heretic es una herramienta que elimina la censura también conocida como "alineación de seguridad" de modelos de lenguaje basados en transformers sin necesidad de un post-entrenamiento costoso. Combina una implementación avanzada ...

heretic

Heretic: Fully automatic censorship removal for language models...

log-horizon

Microsoft Sentinel SIEM Log Source Analyzer I've had to answer "what are we actually getting out of these logs?" or "what is the recommended logs for Microsoft Sentinel" more times than I can count. The answer always depend on so many things, but we can be generic. So I built this thingy right...

pantagrule

Pantagrule conjuntos de reglas hashcat gigantescos generados a partir de contraseñas comprometidas Advertencia de mantenimiento del proyecto : Este proyecto se considera completado. No se realizarán solicitudes de extracción ni cambios en este proyecto en el futuro a menos que sean errores reales...

AI and the Automobile

Open Arsenal IA y las Especificaciones del Automóvil La colección AI and the Automobile reúne múltiples especificaciones que definen cómo la IA se integra en los sistemas de vehículos modernos. En su conjunto, trata el automóvil como una plataforma definida por software donde la inteligencia se...

gradient-untangler

gradient-untangler A local research harness that searches for the exact tokens that make an open-weight language model start its answer the way you specify. Open-weight models ship as ordinary files: config.json, a tokenizer, and one or more .safetensors or .bin shards. A Hugging Face id is only ...

hakuin

Hakuin is a Blind SQL Injection BSQLI optimization and automation framework written in Python 3. It abstracts away the extraction logic and allows users to easily and efficiently dump databases from vulnerable web applications. To speed up the process, Hakuin utilizes a variety of optimization...

OneRuleToRuleThemStill

OneRuleToRuleThemStill Una versión renovada y optimizada de OneRuleToRuleThemAll. OneRuleToRuleThemStill ahora tiene una reducción de 5% 6.9% en reglas de 52,000 a 49,465 48,414 con 0% de pérdida de rendimiento frente a las brechas de datos de Lifeboat y LastFM. Actualizaciones: Deduplicación de ...

hate_crack

root@kitploit: / | \ / | \ \ | | / \ \ / \ / \ /\ \ \ / | |/ / \ Y // | | \ / \ | | // \ | \ /|| /\ | \ / / // / / / / Installation Installing from source is the only supported path. hatecrack is not distributed on PyPI: pip install hate-crack resolves to a 0.0.0 placeholder that...

schrodingers-toctou

Schrödinger's TOCTOU "...the definition of 'sane compiler' grows ever looser." The binary you run is not the program you wrote. The compiler optimizer rewrites your source in ways you never see — and some of those changes can silently and legally turn seemingly secure code into vulnerable binarie...

trape

trape stable v2.0 People tracker on the Internet: Learn to track the world, to avoid being traced. Trape is an OSINT analysis and research tool, which allows people to track and execute intelligent social engineering attacks in real time. It was created with the aim of teaching the world how larg...

CVE-2026-2796-escape-wasm-by-using-wasm

CVE-2026-2796 — SpiderMonkey WebAssembly Sandbox Escape Proof-of-concept exploit chain for CVE-2026-2796 , a JIT miscompilation / type-confusion in Mozilla SpiderMonkey's WebAssembly import optimization "JavaScript: WebAssembly" component. A crafted wasm module obtains arbitrary read/write of the...

Exponentiated-Gradient-Descent-LLM-Attack

Change Readme File. This is a Project that explores the Exponentiated Gradient Descent optimizaiton method to produce adversarial suffix to attack algined Large Language Models. The method is shown to be effective on Llama-2 chat model with 7 Billion parameters. To run pgd script on a number of...

vhosts-sieve

VHosts Sieve Searching for virtual hosts among non-resolvable domains. Installation root@kitploit: git clone https://github.com/dariusztytko/vhosts-sieve.git pip3 install -r vhosts-sieve/requirements.txt Usage Get a list of subdomains e.g. using Amass root@kitploit: $ amass enum -v -passive -o...

Adaptive_Greedy_Local_Search

Adaptive Greedy Local Search AGLS Semantic-Preserving Prompt Hijacking: A Black-Box Adversarial Attack on Auto-Prompt Optimization ICME 2026 Abstract: Large Language Models LLMs are increasingly equipped with automatic prompt-optimization modules that rewrite the user’s input and explicitly prese...

Astro - Unauthorized Third-Party Image Access

Astro 5.13.2 and 4.16.18 contains an information disclosure vulnerability caused by improper validation of protocol-relative URLs in the image optimization endpoint, letting attackers serve images from unauthorized third-party domains, exploit requires on-demand rendering deployment. id:...

YARA-Performance-Guidelines

YARA Performance Guidelines Writing efficient YARA rules is essential for maintaining fast and accurate scanning performance. This guide provides key principles and best practices to help you optimize your rules, reduce unnecessary computation, and avoid common pitfalls. It incorporates insights...