teatime

=========================================== Teatime - A Blockchain RPC Attack Framework .. image:: https://img.shields.io/pypi/v/teatime.svg :target: https://pypi.python.org/pypi/teatime .. image:: https://img.shields.io/travis/dmuhs/teatime.svg :target: https://travis-ci.com/dmuhs/teatime...

siemframework

SIEMS FRAMEWORK MultiSIEM Modular Python3 Attack Framework By ElevenPaths https://www.elevenpaths.com/ Usage: python3 ./siemsframework.py INTRODUCTION SIEMs are defensive tools increasingly used in the field of cybersecurity, especially by major companies and companies intended to monitor highly...

MAAD-AF

MAAD 공격 프레임워크 MAAD-AF는 Microsoft 365 및 Entra IDAzure AD 환경을 위한 오픈소스 클라우드 공격 도구입니다. MAAD-AF는 간단하고 빠르며 효과적인 보안 테스트를 제공합니다. 거의 설정이 필요 없는 프로세스로 Microsoft 클라우드 제어를 검증하고 탐지 및 대응 기능을 테스트하며, 완전히 대화형 워크플로우를 통해 모의 공격을 실행할 수 있습니다. MAAD-AF는 기본적으로 PowerShell로 개발되었습니다. 사용법 1. GitHub에서 MAAD-AF를 클론하거나 다운로드합니다. 2...

beef

Copyright c 2006-2026 Wade Alcorn - [email protected] Browser Exploitation Framework BeEF - https://beefproject.com See the file 'doc/COPYING' for copying permission =============================================================================== BeEF란 무엇인가? BeEF는 Browser Exploitation...

The-Full-Attack-Chain

⚔️ The Full Attack Chain — Capstone Red Team Engagement Int...

Operation-Molasses

🍯 OPERATION MOLASSES PEKMEZ Zencefil Efendi's Cyber Dow...

Position: AI Security Policy Should Target Systems, Not Models

We present swarm-attack, an open-source adversarial testing framework in which multiple lightweight LLM agents coordinate through shared memory, parallel exploration, and evolutionary optimization. Together, our results demonstrate that both safety bypass of frontier models and software...

Skill Description Deception Attack against Task Routing in Internet of Agents

A new paradigm, Internet of Agents IoA, is transforming networked systems into LLM-driven service networks, where heterogeneous agents collaborate through task routing based on their self-declared skill descriptions. Although this promising paradigm enables agentic, distributed, and advanced...

DeepStage: Learning Autonomous Defense Policies against Multi-Stage APT Campaigns

This paper presents DeepStage, a deep reinforcement learning DRL framework for adaptive, stage-aware defense against Advanced Persistent Threats APTs. The enterprise environment is modeled as a partially observable Markov decision process POMDP, where host provenance and network telemetry are fus...

Poisoning the Pixels: Revisiting Backdoor Attacks on Semantic Segmentation

Semantic segmentation models are widely deployed in safety-critical applications such as autonomous driving, yet their vulnerability to backdoor attacks remains largely underexplored. Prior segmentation backdoor studies transfer threat settings from existing image classification tasks, focusing...

Jailbreaking Embodied LLMs Via Action-Level Manipulation

Embodied Large Language Models LLMs enable AI agents to interact with the physical world through natural language instructions and actions. However, beyond the language-level risks inherent to LLMs themselves, embodied LLMs with real-world actuation introduce a new vulnerability: instructions tha...

Automating Agent Hijacking Via Structural Template Injection

Agent hijacking, highlighted by OWASP as a critical threat to the Large Language Model LLM ecosystem, enables adversaries to manipulate execution by injecting malicious instructions into retrieved content. Most existing attacks rely on manually crafted, semantics-driven prompt manipulation, which...

The Crown Jewels of Active Directory: How Trellix Helix Detects NTDS.dit Theft

The Crown Jewels of Active Directory: How Trellix Helix Detects NTDS.dit Theft By Adithya Chandra and Maulik Maheta · February 2, 2026 Executive summary Active Directory serves as the central repository for an organization's authentication infrastructure. Malicious actors frequently focus on...

Turning threat reports into detection insights with AI

Security teams routinely need to transform unstructured threat knowledge, such as incident narratives, red team breach-path writeups, threat actor profiles, and public reports into concrete defensive action. The early stages of that work are often the slowest. These include extracting tactics,...

Turning threat reports into detection insights with AI

Security teams routinely need to transform unstructured threat knowledge, such as incident narratives, red team breach-path writeups, threat actor profiles, and public reports into concrete defensive action. The early stages of that work are often the slowest. These include extracting tactics,...

RunawayEvil: Jailbreaking the Image-To-Video Generative Models

Image-to-Video I2V generation synthesizes dynamic visual content from image and text inputs, providing significant creative control. However, the security of such multimodal systems, particularly their vulnerability to jailbreak attacks, remains critically underexplored. To bridge this gap, we...

A Practical Honeypot-Based Threat Intelligence Framework for Cyber Defence in the Cloud

In cloud environments, conventional firewalls rely on predefined rules and manual configurations, limiting their ability to respond effectively to evolving or zero-day threats. As organizations increasingly adopt platforms such as Microsoft Azure, this static defense model exposes cloud assets to...

Securing Large Language Models (LLMs) from Prompt Injection Attacks

Large Language Models LLMs are increasingly being deployed in real-world applications, but their flexibility exposes them to prompt injection attacks. These attacks leverage the model's instruction-following ability to make it perform malicious tasks. Recent work has proposed JATMO, a task-specif...

Endpoint Security Agent: A Comprehensive Approach to Real-Time System Monitoring and Threat Detection

As cyber threats continue to evolve in complexity and frequency, robust endpoint protection is essential for organizational security. This paper presents "Endpoint Security Agent: A Comprehensive Approach to Real-time System Monitoring and Threat Detection" a modular, real-time security solution...

Inside LockBit: Technical, Behavioral, and Financial Anatomy of a Ransomware Empire

LockBit has evolved from an obscure Ransomware-as-a-Service newcomer in 2019 to the most prolific ransomware franchise of 2024. Leveraging a recently leaked MySQL dump of the gang's management panel, this study offers an end-to-end reconstruction of LockBit's technical, behavioral, and financial...