quark-engine

Presentación de informes de análisis de familias de malware Inicio Rápido Paso 1. Instalar mediante PyPi Instala la última versión de Quark Engine: root@kitploit: $ pip3 install -U quark-engine Paso 2. Descargar las últimas reglas Obtén la base de datos de reglas más reciente: root@kitploit: $...

yara-x

YARA-X YARA-X es una reencarnación de YARA, una herramienta de coincidencia de patrones diseñada pensando en los investigadores de malware. Esta nueva encarnación pretende ser más rápida, más segura y más fácil de usar que su predecesora. El objetivo final de YARA-X es reemplazar a YARA como la...

weakpass

Weakpass Here, you can find the list of tools and example of API server from weakpass.com for password and hash cracking in one place. 📂 Folder Structure tools A collection of password and hash cracking tools. Check them out: Kraker-js Lookup Passcheck Passgen libs Links to the libraries used in...

reasongate

ReasonGate A self-hostable gate that inspects the text going into and out of an LLM and returns an explainable allow / flag / block decision with a machine-readable audit record for every call. What this is The open-source core is rule-based. It does four things: recognizes known prompt-injection...

hexora

hexora Hexora es una herramienta de análisis estático diseñada para detectar patrones maliciosos y dañinos en código Python. Combina un motor de análisis estático basado en reglas con un modelo de aprendizaje automático que puntúa archivos fuente completos para clasificarlos como maliciosos o...

cupcake

Cupcake Make AI agents follow the rules. Policy enforcement layer for AI agents; yielding better performance and security without consuming model context. Deterministic rule-following for your agents. Interactive Examples Better performance by moving rules out of context and into policy-as-code...

DonkAI

Laboratorio práctico para el OWASP Top 10 para Aplicaciones LLM 2025 - no se requiere ningún LLM real. DonkAI es una aplicación web deliberadamente vulnerable que puedes ejecutar con un solo comando y usar para aprender cómo se rompen los sistemas integrados con LLM, rompiéndolos de verdad. Cada...

scodescanner

SCodeScanner SCodeScanner 代表源代码扫描器，用户可以通过它扫描源代码以发现关键漏洞。该扫描器的主要目标是在代码发布到生产环境之前，发现源代码中的漏洞。 发布新版本和公告的网站：https://scodescanner.info/ 特性 1. 支持 PHP 语言 2. 支持 YAML 语言 3. 将结果传递到如 Jira 和 Slack 等 bug 跟踪服务（将文件一次性发送给群组中的多个人）。 4. 以 JSON 格式输出结果，可轻松用于其他程序。 5. 基于规则工作。我们只需创建一些规则，如果目标规则不在 php/yaml 目录中。 6. 可扫描高级模式的规则...

kestrel

The kernel-level visibility of Falco, with the live UI the kernel-native tools don't ship. Quickstart · Spec · Views · Roadmap Kestrel traces kernel events process exec, file access, network connections with an eBPF agent and streams them to a SvelteKit web app that renders a live activity feed,...

toxy

toxy Not actively maintained, may not work with latest node.js runtimes. If you are interested in maintaining toxy, please open an issue...

Fulcrum-OSINT-monitor

FULCRUM — Architecture Technique v3.1 Vue d'ensemble FULC...

SQL-Injection-Detection-System

SQL Injection Detection System A comprehensive full-stack web...

unverified_exploits

Unverified Exploits - Rule-Based Exploit Generation & Testing...

An Empirical Security Evaluation of LLM-Generated Cryptographic Rust Code

Developers and organizations are using Large Language Models LLMs to generate security-critical code more frequently than ever, including cryptographic solutions for their products. This study presents an empirical evaluation of cryptographic security in 240 Rust code samples for two crypto...

Detecting Concept Drift in Evolving Malware Families Using Rule-Based Classifier Representations

This work proposes a structural approach to concept drift detection in malware classification using decision tree rulesets. Classifiers are trained across temporal windows on the EMBER2024 dataset, and drift is quantified by comparing extracted rule representations using feature importance,...

LLM-and-MCP

Detection and Exploitation of Vulnerabilities in Android Appli...

AgentWatcher: A Rule-Based Prompt Injection Monitor

Large language models LLMs and their applications, such as agents, are highly vulnerable to prompt injection attacks. State-of-the-art prompt injection detection methods have the following limitations: 1 their effectiveness degrades significantly as context length increases, and 2 they lack...

Auditing MCP Servers for Over-Privileged Tool Capabilities

The Model Context Protocol MCP has emerged as a standard for connecting Large Language Models LLMs to external tools and data. However, MCP servers often expose privileged capabilities, such as file system access, network requests, and command execution that can be exploited if not properly...

K000160272: Apache Solr vulnerability CVE-2026-22444

Security Advisory Description The "create core" API of Apache Solr 8.6 through 9.10.0 lacks sufficient input validation on some API parameters, which can cause Solr to check the existence of and attempt to read file-system paths that should be disallowed by Solr's "allowPaths" security setting...

The vulnerability of the Rule Based Authorization Plugin for the Apache Solr search engine allows a perpetrator to send arbitrary HTTP requests.

The vulnerability of the Rule Based Authorization Plugin for the Apache Solr search server is related to deficiencies in the authorization process. Exploiting this vulnerability allows a malicious actor to send arbitrary HTTP requests remotely...