From Conceptual Scaffold to Prototype: A Standardized Zonal Architecture for Wi-Fi Security Training

Wi-Fi is the dominant wireless access technology, but its widespread use also exposes systems to threats such as rogue access points, deauthentication attacks, and other IEEE 802.11-specific vulnerabilities. Although Cyber Ranges CRs have become valuable platforms for cybersecurity training and...

Information Theoretic Adversarial Training of Large Language Models

Large language models LLMs remain vulnerable to adversarial prompting despite advances in alignment and safety, often exhibiting harmful behaviors under novel attack strategies. While adversarial training can improve robustness, existing approaches are computationally expensive and difficult to...

linux-malware-toolbox

Linux Malware Samples - Educational Repository ⚠️ IMPORTAN...

linux-malwares

Linux Malware Samples - Educational Repository ⚠️ IMPORTAN...

Sunnet CTMS和Sunnet CPAS 代码问题漏洞

Sunnet CTMS and Sunnet CPAS are both products of China’s Sunnet Company. Sunnet CTMS is an enterprise training software. Sunnet CPAS is an enterprise performance management software. Both Sunnet CTMS and Sunnet CPAS have code vulnerabilities. These vulnerabilities stem from arbitrary file upload...

XekRung Technical Report

We present XekRung, a frontier large language model for cybersecurity, designed to provide comprehensive security capabilities. To achieve this, we develop diverse data synthesis pipelines tailored to the cybersecurity domain, enabling the scalable construction of high-quality training data and...

Docker_Desktop_POC

Java vulnerable scan POC Minimal Maven project used to comp...

Poster: ClawdGo: Endogenous Security Awareness Training for Autonomous AI Agents

Autonomous AI agents deployed on platforms such as OpenClaw face prompt injection, memory poisoning, supply-chain attacks, and social engineering, yet existing defences address only the platform perimeter, leaving the agent's own threat judgement entirely untrained. We present ClawdGo, a framewor...

The Governance Gap: How the EU AI Act Makes API Security a Compliance Imperative

Your legal team just handed you a 400-page document and said "figure out compliance." The EU AI Act is live, your organization falls under its scope, which is broader than many expect. Even non‑EU companies must comply if their AI systems are used, deployed, or produce effects within the European...

Mitigate or Fail: How Risk Management Shapes Cybersecurity Competency

Contemporary cybersecurity governance assumes that professionals apply risk reasoning. Yet major organisational failures persist despite investment in tools, staffing, and credentials. This study investigates the structural source of that paradox. Cybersecurity speaks the language of risk, but it...

EUVD-2026-24752

A flaw was found in InstructLab. The linuxtrain.py script hardcodes trustremotecode=True when loading models from HuggingFace. This allows a remote attacker to achieve arbitrary Python code execution by convincing a user to run ilab train/download/generate with a specially crafted malicious model...

CVE-2026-6859

A flaw was found in InstructLab. The linuxtrain.py script hardcodes trustremotecode=True when loading models from HuggingFace. This allows a remote attacker to achieve arbitrary Python code execution by convincing a user to run ilab train/download/generate with a specially crafted malicious model...

Security Is Relative: Training-Free Vulnerability Detection Via Multi-Agent Behavioral Contract Synthesis

Deep learning for vulnerability detection has shown promising results on early benchmarks, but recent evaluations reveal catastrophic degradation: models achieving F1 0.68 on legacy datasets collapse to 0.031 under strict deduplication. We identify the root cause as the semantic ambiguity problem...

Privacy-Aware Machine Unlearning with SISA for Reinforcement Learning-Based Ransomware Detection

Ransomware detection systems increasingly rely on behavior-based machine learning to address evolving attack strategies. However, emerging privacy compliance, data governance, and responsible AI deployment demand not only accurate detection but also the ability to efficiently remove the influence...

ConGISATA: A Framework for Continuous Gamified Information Security Awareness Training and Assessment

The incidence of cybersecurity attacks utilizing social engineering techniques has increased. Such attacks exploit the fact that in every secure system, there is at least one individual with the means to access sensitive information. Since it is easier to deceive a person than it is to bypass the...

EUVD-2026-22979

The vulnerability, if exploited, could allow an unauthenticated miscreant to perform operations intended only for Simulator Instructor or Simulator Developer Administrator roles, resulting in privilege escalation with potential for modification of simulation parameters, training configuration, an...

CVE-2026-5387

The vulnerability, if exploited, could allow an unauthenticated miscreant to perform operations intended only for Simulator Instructor or Simulator Developer Administrator roles, resulting in privilege escalation with potential for modification of simulation parameters, training configuration, an...

Incident response for AI: Same fire, different fuel

In this article 1. The fundamentals still hold 2. Where AI changes the equation 3. Closing the gaps in telemetry, tooling, and response 4. The human dimension 5. Looking ahead When a traditional security incident hits, responders replay what happened. They trace a known code path, find the defect...

CVE-2026-5387 AVEVA Pipeline Simulation Missing Authorization

The vulnerability, if exploited, could allow an unauthenticated miscreant to perform operations intended only for Simulator Instructor or Simulator Developer Administrator roles, resulting in privilege escalation with potential for modification of simulation parameters, training configuration, an...

CVE-2026-5387

The CVE-2026-5387 entry concerns AVEVA Pipeline Simulation where an unauthenticated actor can perform operations intended for Simulator Instructor/Developer (Administrator) roles, leading to privilege escalation and potential modification of simulation parameters, training configuration, and trai...