secure-software-development

Secure Software Development — Notes & Exercise Writeups Perso...

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...

Agentic AI Is Transforming Defense, But Only Secure IT Infrastructure Will Maximize It

Over the past several weeks, the cybersecurity community has been reminded how quickly frontier and agentic AI in defense networks can challenge our assumptions. When Anthropic's Claude Mythos model was made available to a limited set of organizations as a technical preview, it was reported that ...

SmartMES-Range

SmartMES Attack-Defense Drill Site The Smart Manufacturing En...

Metasploit-Simulation-lab

🛡️ Metasploit Simulation Lab — Ethical Hacking Training !alt...

Human Factors in Cybersecurity in Icelandic Small and Medium-Sized Enterprises

Cybersecurity threats are increasing in all aspects of society due to the integration of digital systems into modern-day life and a volatile geo-political landscape. Technical factors are an ongoing arms race; however, the threat surface from human and social factors is still present, often...

Malicious Package

Overview @cplace-paw-fe/cf-training-extended is a malicious package. This package contains malicious code, and its content was removed from the official package manager. While this package might be attempting to impersonate a valid organization, there is no connection between that organization an...

MAL-2026-5047 Malicious code in @cplace-paw-fe/cf-training-extended (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 5c5db73fe2d964e3a417f9c13904b52af166bffa1edb36401e0dda939c281354 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security

Modern open-world agents such as OpenClaw exhibit powerful cross-environment execution capabilities yet introduce broad new safety risk sources. Meanwhile, advanced frontier AI models drastically lower attack barriers, rendering current agent alignment frameworks inadequate for real-world...

CERT-In Recommends 12-Hour Patching for Internet-Facing Flaws Amid AI-Assisted Attacks

The Indian Computer Emergency Response Team CERT-In has issued new guidelines requiring organizations to patch critical security vulnerabilities in internet-exposed systems within 12 hours of being flagged where "feasible" to safeguard against potential threats stemming from threat actors' abuse ...

Routing Cybersecurity Awareness Training by FFM Personality Trait: A Quasi-Experimental Evaluation

Cybersecurity awareness training has historically adopted a one-size-fits-all approach, despite established individual differences in how users process and retain security information. Personality has been proposed as one axis along which training content might be tailored; yet no prior study has...

Exploit for CVE-2026-0211

ISU-SecOps Nginx QUIC RCE Lab Modern web sunucularındaki Ngi...

Cybersecurity of Electric Vehicle Charging Infrastructure: Recent Advances, Open Challenges, and Future Directions

Electric Vehicles EVs have emerged as significant disruptors in the transportation sector over the past decade. Their growing popularity and adoption are accompanied by capital expenditures to deploy charging infrastructure. EV charging infrastructure sits at the intersection of the power grid, t...

Botnet Detection on CTU-13 Using Lightweight Machine Learning Models

Botnets are among the most persistent cyber threats, enabling large-scale attacks such as spam, credential theft, and distributed denial-of-service DDoS. While deep learning approaches have recently been applied to botnet detection, they are computationally intensive and often lack...

From Preventive to Reactive: How AI Coding Assistants Transform Developers' Security Awareness

AI coding assistants are now central to professional software development, yet their impact on how developers think about and practice security remains poorly understood. While prior work has documented vulnerability rates in AI-generated code, a more fundamental question persists: how do these...

Astra Linux – Vulnerability in Linux 5.10

In the Linux kernel, the following vulnerability has been resolved: drm/amd/display: preventing a hang during link training failure Why When link training fails, the phy clock will be disabled. However, in “enablestreams”, it is assumed that link training was successful, and the mux selects the p...

Astra Linux – Vulnerability in Linux 5.10

In the Linux kernel, the following vulnerability has been resolved: drm/i915/vrr: Configure VRR timings after enabling TRANSDDIFUNCCTL It appears that the ICL may hang when using an MCE if we set TRANSVRRVMAX/FLIPLINE before enabling TRANSDDIFUNCCTL. Personally, I was only able to reproduce such ...

Astra Linux – Vulnerability in Linux 5.10

In the Linux kernel, the following vulnerability has been resolved: drm/amd/display: Cache streams targeting the link when performing LT automation. REASON The last LT automation update may cause a crash by referencing currentstate and calling dcupdateplanesandstream, which might corrupt...

Profiling User Vulnerability to Phishing through Psychological and Behavioral Factors

Phishing remains one of the most pervasive cybersecurity threats, shifting the focus from technological vulnerabilities to human cognitive and psychological factors. In coherence with the trend of studies on phishing to increasingly focus on human aspects and vulnerable users profiling, this stud...

XAI FL-IDS: A Federated Learning and SHAP-Based Explainable Framework for Distributed Intrusion Detection Systems

An Intrusion Detection System IDS is vital in cybersecurity, detecting unauthorized activity across networks. With attacks on network layers increasing, stronger IDSs are needed. Yet most IDSs rely on centralized detection, forcing IoT nodes to ship data to a server, adding overhead and offering ...