99 matches found
pwnspoof
pwnSpoof from Punk Security generates realistic spoofed log files for common web servers with customisable attack scenarios. Every log bundle is unique and completely customisable, making it perfect for generating CTF scenarios and for training serials. Can you find the attacker session and build...
hyenae-ng
Hyenae NG Hyenae NG Next Generation is a re-write of the original Hyenae tool which was originally published back in the year 2010. Besides switching from C to C++, using modern design concepts, Hyenae NG was just like the original Hyenae written with maximum portability in mind. Since the origin...
automatic-api-attack-tool
Automatic API Attack Tool Imperva's customizable API attack tool takes an API specification as an input, and generates and runs attacks that are based on it as an output. The tool is able to parse an API specification and create fuzzing attack scenarios based on what is defined in the API...
Atomic-Red-Team-C2
描述 ARTC2 是一个现代化的执行框架，帮助安全团队从单个和多个入侵点目标扩展攻击场景的执行。它旨在生成可操作的情报，提升安全产品和事件响应的有效性。 操作系统支持 Windows 操作系统 功能特性 ARTC2 核心功能与能力源自 SILENTTRINITY，通过 Boo 执行的原子测试来自 ATOMIC-RED-TEAM。所有其他功能增强都是为了确保作战技艺、敏捷性、可扩展性和快速执行不受影响。...
What SecureIQLab Cloud WAAP 5.0 means for your application security
You cannot verify a vendor’s security claims from their own datasheet, including ours. That is why independent validation matters. In our recent guide to the best WAAP solutions Best WAAP Solutions 2026: Enterprise Buyer Guide, we argued that every serious shortlist should include independent...
Google’s synchronized passkeys can be stolen in ‘Pass‑ta‑key’ attacks
Passkeys were supposed to make stolen passwords a thing of the past. No password to phish, no secret to reuse, and no string of characters sitting in a database waiting to be leaked. Over time, it's thought that passkeys will replace passwords entirely. But what happens when malware steals the...
Bridging the Smart City Cybersecurity Data Gap through AI-Driven Synthetic Dataset Generation
Smart cities rely on interconnected cyber-physical systems that integrate sensors, IoT devices, cloud platforms, and AI-driven services and decision-making. While these systems enhance city services, they also introduce complex cybersecurity challenges due to their large attack surfaces,...
CRESS: Quantifying Vulnerabilities of Attack Scenarios in Hardware Reverse Engineering
The safety, security, and reliability of microelectronic systems depend on a trustworthy, secured supply chain and design flow. Globally distributed supply chains or unintentional design weaknesses leave the door open for attacks on the hardware level. These scenarios encompass counterfeiting,...
SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-Enabled Medical Devices
The growing integration of artificial intelligence AI and machine learning ML in medical systems requires effective measures to address emerging security risks. One such risk is that of adversaries introducing false data through vulnerable system components during inference, causing misdiagnosis...
Guaranteed Jailbreaking Defense Via Disrupt-And-Rectify Smoothing
This paper proposes a guaranteed defense method for large language models LLMs to safeguard against jailbreaking attacks. Drawing inspiration from the denoised-smoothing approach in the adversarial defense domain, we propose a novel smoothing-based defense method, termed Disrupt-and-Rectify...
Oracle Poisoning: Corrupting Knowledge Graphs to Weaponise AI Agent Reasoning
We define Oracle Poisoning, an attack class in which an adversary corrupts a structured knowledge graph that AI agents query at runtime via tool-use protocols, causing incorrect conclusions through correct reasoning. Unlike prompt injection, Oracle Poisoning manipulates the data agents reason ove...
Your Agent, Their Asset: A Real-World Safety Analysis of OpenClaw
OpenClaw, the most widely deployed personal AI agent in early 2026, operates with full local system access and integrates with sensitive services such as Gmail, Stripe, and the filesystem. While these broad privileges enable high levels of automation and powerful personalization, they also expose...
NetSecBed: A Container-Native Testbed for Reproducible Cybersecurity Experimentation
Cybersecurity research increasingly depends on reproducible evidence, such as traffic traces, logs, and labeled datasets, yet most public datasets remain static and offer limited support for controlled re-execution and traceability, especially in heterogeneous multi-protocol environments. This...
How Microsoft Defender protects high-value assets in real-world attack scenarios
In this article 1. Using asset context to strengthen detection 2. How high-value asset protection works 3. Real-world high-value asset protection scenarios 4. Protecting your HVAs 5. Learn more High-value assets including domain controllers, web servers, and identity infrastructure are frequent...
CAM-LDS: Cyber Attack Manifestations for Automatic Interpretation of System Logs and Security Alerts
Log data are essential for intrusion detection and forensic investigations. However, manual log analysis is tedious due to high data volumes, heterogeneous event formats, and unstructured messages. Even though many automated methods for log analysis exist, they usually still rely on domain-specif...
CVE-2026-21853 AFFiNE: One-click Remote Code Execution through Custom URL Handling
AFFiNE is an open-source, all-in-one workspace and an operating system. Prior to version 0.25.4, there is a one-click remote code execution vulnerability. This vulnerability can be exploited by embedding a specially crafted affine: URL on a website. An attacker can trigger the vulnerability in tw...
Penetration Testing of Agentic AI: A Comparative Security Analysis across Models and Frameworks
Agentic AI introduces security vulnerabilities that traditional LLM safeguards fail to address. Although recent work by Unit 42 at Palo Alto Networks demonstrated that ChatGPT-4o successfully executes attacks as an agent that it refuses in chat mode, there is no comparative analysis in multiple...
AI-Driven Cybersecurity Testbed for Nuclear Infrastructure: Comprehensive Evaluation Using METL Operational Data
Advanced nuclear reactor systems face increasing cybersecurity threats as sophisticated attackers exploit cyber-physical interfaces to manipulate control systems while evading traditional IT security measures. This research presents a comprehensive evaluation of artificial intelligence approaches...
ANCORA: Accurate Intrusion Recovery for Web Applications
Modern web application recovery presents a critical dilemma. Coarse-grained snapshot rollbacks cause unacceptable data loss for legitimate users. Surgically removing an attack's impact is hindered by a fundamental challenge in high-concurrency environments: it is difficult to attribute resulting...
