347 matches found
librepods
!WARNING librepods.org is not an official website of the LibrePods project. It inaccurately claims to be the official website of the project by claiming copyrights and using the LibrePods logo in the footer. And at the same time, they say that the project is not affiliated with the LibrePods...
web-traffic-generator
web-traffic-generator Un generador de tráfico HTTP/S "orgánico" rápido y sucio. Acerca de Solo un script simple de Python mal escrito que "navega" sin rumbo por internet comenzando en ROOTURLS predefinidas y haciendo "clic" aleatoriamente en los enlaces de las páginas hasta alcanzar el MAXDEPTH...
noisy
Noisy A simple python script that generates random HTTP/DNS traffic noise in the background while you go about your regular web browsing, to make your web traffic data less valuable for selling and for extra obscurity. Tested on MacOS High Sierra, Ubuntu 16.04 and Raspbian Stretch and is compatab...
melody
Melody Monitorea el ruido de fondo de Internet Melody es un sensor de Internet transparente diseñado para inteligencia de amenazas y respaldado por un marco de reglas de detección que te permite etiquetar paquetes de interés para análisis y monitoreo de amenazas. Tabla de contenidos Melody Tabla ...
punchline
punchline End-to-end encrypted peer-to-peer chat over UDP. No accounts, no central server relaying/storing messages, no middleman. Just two peers, a direct connection, and Noise protocol encryption. https://github.com/user-attachments/assets/939e96d3-45e3-4484-9a27-28c3a0457b05 Table of Contents...
uddup
UDdup - URLs Deduplication Tool The tool gets a list of URLs, and removes "duplicate" pages in the sense of URL patterns that are probably repetitive and points to the same web template. For example: https://www.example.com/product/123 https://www.example.com/product/456...
bitchat
bitchat Una aplicación de mensajería descentralizada peer-to-peer con arquitectura de transporte dual: redes de malla Bluetooth locales para comunicación sin conexión y el protocolo Nostr basado en internet para alcance global. Sin cuentas, sin números de teléfono, sin servidores centrales. Es el...
TruffleSnout
TruffleSnout Kit de descubrimiento iterativo de AD para operadores ofensivos. Conciencia situacional y enumeración dirigida de bajo ruido. Preferencia por OpSec. Descubrir: Bosques y confianzas Dominios y confianzas GCs/DCs Buscar y consultar AD: Objetos y datos Límites para evitar activar...
llm-differential-privacy-gateway
Noisegate: una pasarela de privacidad diferencial para agentes de IA no confiables Un agente de IA que puede estudiar datos confidenciales sin poder identificar a una persona concreta. El límite es matemático, se aplica en código al que el agente no puede acceder, y el repositorio incluye los...
noise-java
Librería Noise-Java Noise-Java es una implementación en Java puro del Protocolo Noise, pensada como una implementación de referencia. El código se distribuye bajo los términos de la licencia MIT. Esta librería está escrita en Java puro, haciendo uso de la Extension de Criptografía Java JCE para...
File-Injector
File Injector Si quieres usar una versión anterior 1.0.2 o inferior, en la que necesitabas la imagen original para extraer el archivo, puedes descargarla aquí. Índice 1. Descripción 2. Primeros pasos Instalar requisitos Ejecutar el script Elegir entrada Elegir una imagen/audio base Elegir un...
challenge_repo
🎲 El Desafío de la Entropía 🇬🇧 Leer en Inglés | 🇹🇷 Türkçe Oku Introducción Hemos desarrollado un generador de números aleatorios de última generación que procesa Ruido de Radiofrecuencia RF a través de una arquitectura de red neuronal propietaria, seguida de posprocesamiento SHA-3. Afirmamos que...
Waveform Randomization for Secure ISAC
This paper studies waveform-level security for Integrated Sensing and Communication ISAC. Instead of relying on spatial beamforming or power allocation, we randomize the sensing waveform itself using phase keys and tangent Artificial Noise AN applied to a Fourier-curve constellation. Coordinated...
Online AutoML: Evaluating Poisoning Attacks on Adversarial Training Defense Strategy in IoT Networks
Machine learning ML-powered poisoning attack vectors are adversarial maneuvers whereby an attacker intentionally inserts, corrupts, or alters training data to distort an ML model's learning process. The objective is to diminish model efficacy, instill biases, induce misclassifications, or include...
Jailbreaking Open-Weight LLMs Via Random Embedding Perturbations
While open-weight models have enjoyed steady progress in capabilities and wide adoption across multiple domains, their safety remains an important concern. One key feature is the ability to refuse or deflect harmful, malicious, or insensitive prompts. In this paper, we expose safety vulnerabiliti...
Learnt Attacks on Quantum Key Distribution under Channel Noise and Device Drift
Quantum key distribution QKD links are provisioned from security analyses of stationary channels, whereas the devices that determine the channel drift between recalibrations. Whether an eavesdropper who cannot alter the channel's own noise gains by following that drift has not been quantified...
Unlocking Cross-Scenario Physical Layer Security: A Mixture-Of-Experts Framework with Generative Diffusion Models
The future 6G networks are expected to incorporate a proliferation of wireless services in diverse environments, which presents a significant challenge for information security. Conventionally optimization always requires recalculation and learning strategy often suffers poor generalization, whic...
Astra Linux – Vulnerability in aom
The file aomdsp/noisemodel.c in the libaom library within AOMedia, dated before March 24, 2021, contains a buffer overflow vulnerability...
When the Whole Company Adopts AI: What It Does to Your SOC
Over the past year, we watched a new class of alert appear in enterprise security operations centers and grow faster than anything else in the stream: alerts that were triggered by AI tools and agents. Not attacks against AI, but the ordinary, everyday footprint of an organization using it, from...
Video-Based Palm-Vein Authentication under Challenging Conditions
Palm-vein biometrics are increasingly used for secure, contactless authentication. Yet real-world deployment exposes them to surface noise sweat, dirt, illumination and motion variation, and temperature-driven changes in vascular visibility, which remain underexplored for lack of data captured...