LLM-Driven Feature-Level Adversarial Attacks on Android Malware Detectors

The rapid growth in both the scale and complexity of Android malware has driven the widespread adoption of machine learning ML techniques for scalable and accurate malware detection. Despite their effectiveness, these models remain vulnerable to adversarial attacks that introduce carefully crafte...

How an LMS Cloud Model Supports Scalable Learning

There's a new era for training and development programs, making the LMS Learning Management System cloud model the…...

Causal-Guided Detoxify Backdoor Attack of Open-Weight LoRA Models

Low-Rank Adaptation LoRA has emerged as an efficient method for fine-tuning large language models LLMs and is widely adopted within the open-source community. However, the decentralized dissemination of LoRA adapters through platforms such as Hugging Face introduces novel security vulnerabilities...

MORPHEUS: A Multidimensional Framework for Modeling, Measuring, and Mitigating Human Factors in Cybersecurity

Current cybersecurity research increasingly acknowledges the human factor, yet remains fragmented, often treating user vulnerabilities as isolated and static traits. This paper introduces MORPHEUS, a holistic framework that operationalizes human-centric security as a dynamic and interconnected...

Social Engineering Attacks: A Systemisation of Knowledge on People against Humans

Our systematisation of knowledge on Social Engineering Attacks SEAs, identifies the human, organisational, and adversarial dimensions of cyber threats. It addresses the growing risks posed by SEAs, highly relevant in the context physical cyber places, such as travellers at airports and residents ...

HTTP-Smuggling

HTTP-Smuggling simpel Practical lab for learning HTTP Request...

EUVD-2025-203700

In the Linux kernel, the following vulnerability has been resolved: drm/amd/display: Cache streams targeting link when performing LT automation WHY Last LT automation update can cause crash by referencing currentstate and calling into dcupdateplanesandstream which may clobber currentstate. HOW...

PHANTOM: Progressive High-Fidelity Adversarial Network for Threat Object Modeling

The scarcity of cyberattack data hinders the development of robust intrusion detection systems. This paper introduces PHANTOM, a novel adversarial variational framework for generating high-fidelity synthetic attack data. Its innovations include progressive training, a dual-path VAE-GAN...

INE Highlights Enterprise Shift Toward Hands-On Training Amid Widening Skills Gaps

Cary, North Carolina, USA, 11th December 2025, CyberNewsWire...

LLM-Assisted AHP for Explainable Cyber Range Evaluation

Cyber Ranges CRs have emerged as prominent platforms for cybersecurity training and education, especially for Critical Infrastructure CI sectors that face rising cyber threats. One way to address these threats is through hands-on exercises that bridge IT and OT domains to improve defensive...

From awareness to action: Building a security-first culture for the agentic AI era

The insights gained from Cybersecurity Awareness Month, right through to Microsoft Ignite 2025, demonstrate that security remains a top priority for business leaders. It serves as a strategic lever for organizational growth, fosters trust, and facilitates the advancement of AI innovation. The Wor...

From awareness to action: Building a security-first culture for the agentic AI era

The insights gained from Cybersecurity Awareness Month, right through to Microsoft Ignite 2025, demonstrate that security remains a top priority for business leaders. It serves as a strategic lever for organizational growth, fosters trust, and facilitates the advancement of AI innovation. The Wor...

2 Men Linked to China’s Salt Typhoon Hacker Group Likely Trained in a Cisco ‘Academy’

The names of two partial owners of firms linked to the Salt Typhoon hacker group also appeared in records for a Cisco training program—years before the group targeted Cisco’s devices in a spy campaign...

CVE-2025-1161

Incorrect Use of Privileged APIs vulnerability in NomySoft Information Technology Training and Consulting Inc. Nomysem allows Privilege Escalation. This issue affects Nomysem: through May 2025...

EUVD-2025-202404

Incorrect Use of Privileged APIs vulnerability in NomySoft Information Technology Training and Consulting Inc. Nomysem allows Privilege Escalation.This issue affects Nomysem: through May 2025...

Chasing Shadows: Pitfalls in LLM Security Research

Large language models LLMs are increasingly prevalent in security research. Their unique characteristics, however, introduce challenges that undermine established paradigms of reproducibility, rigor, and evaluation. Prior work has identified common pitfalls in traditional machine learning researc...

Information-Dense Reasoning for Efficient and Auditable Security Alert Triage

Security Operations Centers face massive, heterogeneous alert streams under minute-level service windows, creating the Alert Triage Latency Paradox: verbose reasoning chains ensure accuracy and compliance but incur prohibitive latency and token costs, while minimal chains sacrifice transparency a...

Exploit for OS Command Injection in Gnu Bash

Exploiting Shellshock CVE-2014-6271: A Complete, Modern Demo...

Exploit for CVE-2025-55182

React2Shell Vulnerable Banking Application Lab Deliberately v...

One Detector Fits All: Robust and Adaptive Detection of Malicious Packages from PyPI to Enterprises

The rise of supply chain attacks via malicious Python packages demands robust detection solutions. Current approaches, however, overlook two critical challenges: robustness against adversarial source code transformations and adaptability to the varying false positive rate FPR requirements of...