Lepus

Lepus Lepus is a tool for enumerating subdomains, checking for subdomain takeovers and perform port scans - and boy, is it fast! Basic Usage lepus.py yahoo.com Summary Enumeration modes Subdomain Takeover Port Scan Installation Arguments Full command example Enumeration modes The enumeration mode...

PoT

Phishing en Twitter Generar tweets automáticamente como él/ella ¿Cómo funciona? 1- Recopilar datos de la cuenta de Twitter del objetivo 2- Encontrar amigos del objetivo y copiar su cuenta 3- Generar tweet automáticamente con el algoritmo de cadenas de Markov y enviarlo Instalación git clone...

HellPot

Resumen HellPot es un honeypot interminable basado en Heffalump que envía bots HTTP desobedientes al infierno. Destaca por implementar un archivo de configuración toml, tener registro en JSON y ofrecer importantes mejoras de rendimiento. Graves Consecuencias Los clientes idealmente bots que ignor...

PT-2026-41802

Name of the Vulnerable Software and Affected Versions The product name cannot be determined affected versions not specified Description An out-of-bounds write can occur when using LZMA compression in the MIFF encoder due to a missing check. An out-of-bounds write is a memory corruption issue wher...

Operationalizing Cybersecurity Governance for Mitigation Planning with Attack-Path Modeling and Reinforcement Learning

We address a fundamental challenge in cybersecurity operations of translating governance frameworks into actionable mitigation decisions under realistic resource constraints. Frameworks such as the NIST Cybersecurity Framework CSF provide widely adopted measures of organizational maturity, but do...

CSLE: A Reinforcement Learning Platform for Autonomous Security Management

Reinforcement learning is a promising approach to autonomous and adaptive security management in networked systems. However, current reinforcement learning solutions for security management are mostly limited to simulation environments and it is unclear how they generalize to operational systems...

An Efficient Anomaly Detection Framework for Wireless Sensor Networks Using Markov Process

Wireless Sensor Networks forms the backbone of modern cyber physical systems used in various applications such as environmental monitoring, healthcare monitoring, industrial automation, and smart infrastructure. Ensuring the reliability of data collected through these networks is essential as the...

EUVD-2024-1647

Malicious code in bioql PyPI...

Markov Chain-Based Model of Blockchain Radio Access Networks

Security has always been a priority, for researchers, service providers and network operators when it comes to radio access networks RAN. One wireless access approach that has captured attention is blockchain enabled RAN B-RAN due to its secure nature. This research introduces a framework that...

Trusted Data Fusion, Multi-Agent Autonomy, Autonomous Vehicles

Multi-agent collaboration enhances situational awareness in intelligence, surveillance, and reconnaissance ISR missions. Ad hoc networks of unmanned aerial vehicles UAVs allow for real-time data sharing, but they face security challenges due to their decentralized nature, making them vulnerable t...

Learning-Based Cost-Aware Defense of Parallel Server Systems against Malicious Attacks

We consider the cyber-physical security of parallel server systems, which is relevant for a variety of engineering applications such as networking, manufacturing, and transportation. These systems rely on feedback control and may thus be vulnerable to malicious attacks such as denial-of-service,...

Secure Goal-Oriented Communication: Defending against Eavesdropping Timing Attacks

Goal-oriented Communication GoC is a new paradigm that plans data transmission to occur only when it is instrumental for the receiver to achieve a certain goal. This leads to the advantage of reducing the frequency of transmissions significantly while maintaining adherence to the receiver's...

Balancing Privacy and Utility in Correlated Data: a Study of Bayesian Differential Privacy

Privacy risks in differentially private DP systems increase significantly when data is correlated, as standard DP metrics often underestimate the resulting privacy leakage, leaving sensitive information vulnerable. Given the ubiquity of dependencies in real-world databases, this oversight poses a...

Secure Time-Modulated Intelligent Reflecting Surface via Generative Flow Networks

We propose a novel directional modulation DM design for OFDM transmitters aided by a time-modulated intelligent reflecting surface TM-IRS. The TM-IRS is configured to preserve the integrity of transmitted signals toward multiple legitimate users while scrambling the signal in all other directions...

CVE-2024-34075

kurwov is a fast, dependency-free library for creating Markov Chains. An unsafe sanitization of dataset contents on the MarkovDatagetNext method used in Markovgenerate and Markovchoose allows a maliciously crafted string on the dataset to throw and stop the function from running properly. If a...

Malware Attackers Using MacroPack to Deliver Havoc, Brute Ratel, and PhantomCore

Threat actors are likely employing a tool designated for red teaming exercises to serve malware, according to new findings from Cisco Talos. The program in question is a payload generation framework called MacroPack, which is used to generate Office documents, Visual Basic scripts, Windows...

Denial Of Service (DoS)

kurwov is vulnerable to Denial Of Service DoS. The vulnerability is due to improper sanitization within the MarkovDatagetNext method, which is utilized in both Markovgenerate and Markovchoose functions, which results in a maliciously crafted string within the dataset to bypass sanitization checks...

kurwov vulnerable to Denial of Service due to improper data sanitization

Summary An unsafe sanitization of dataset contents on the MarkovDatagetNext method used in Markovgenerate and Markovchoose allows a maliciously crafted string on the dataset to throw and stop the function from running properly. Details...

CVE-2024-34075

kurwov is a fast, dependency-free library for creating Markov Chains. An unsafe sanitization of dataset contents on the MarkovDatagetNext method used in Markovgenerate and Markovchoose allows a maliciously crafted string on the dataset to throw and stop the function from running properly. If a...

CVE-2024-34075 kurwov vulnerable to Denial of Service due to improper data sanitization

kurwov is a fast, dependency-free library for creating Markov Chains. An unsafe sanitization of dataset contents on the MarkovDatagetNext method used in Markovgenerate and Markovchoose allows a maliciously crafted string on the dataset to throw and stop the function from running properly. If a...