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...

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。 功能| 描述 ---|--- 快速部署| 自动化并扩展开源自位于不同区域环境的单目标和多目标入侵点的测试工作 现代命令与控制| 植入体与服务器通信： 使用 SILENTRINITY 的...

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...

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...

RISK: Auditing Industrial Control Systems for Too-Late-To-Recover Vulnerabilities

The security of industrial control systems ICS is important. Yet most ICS security efforts focus on the detection of ICS attacks, with much less attention to the recovery after detection. In this paper, we address this underexplored area by jointly auditing the detection and recovery of ICS...

Poster: Towards Selecting Threat Appropriate Industrial Intrusion Detection Systems

As the threat landscape against industrial control systems is dynamic, effective security requires detection strategies capable of timely reactions to these evolving threat situations. To address this problem, we propose the idea of a counter-threat intelligence sharing based mechanism to select...

Beyond Direct Access: Resource Hijacking in LLM Agents

Large language model agents are increasingly connected to high-value resources such as computing infrastructure, credentials, usage budgets, identities, private knowledge, communication channels, and organizational workflows. Existing agent security research mainly studies attacks on instructions...

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...

WeClawArena: An Auditable Sandbox and Benchmark for Cross-User Agents Collaboration and Security in Human-Centered Agent Networks

Recent advances in persistent personal-agent frameworks are making human-centered agent networks realistic deployment targets: each user can be served by an AI agent that acts on the user's behalf, maintains state, and communicates with other agents through social and task relations. In these...

Agentic Incident Response through Digital Twin-Enhanced Multiscale Planning

Incident response is currently managed by security operators using predefined playbooks, resulting in slow, labor-intensive security decision-making processes. Consequently, there is a growing need for automated incident response planning. Decision-theoretic approaches based on control,...

FuseChain: Runtime Evidence Reconstruction for Software Supply-Chain Attacks

Software supply-chain SSC attacks are increasingly multi-stage, cross-source, and temporally distributed. A single attack campaign may leave weak and fragmented traces across multi-source telemetry that captures different granularities and perspectives of runtime behavior. Existing runtime...

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...