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...

Learning the Wrong Lessons: Syntactic-Domain Spurious Correlations in Language Models

Whitepaper from researchers at MIT, Northeastern University, and Meta. For an LLM to correctly respond to an instruction it must understand both the semantics and the domain i.e., subject area of a given task-instruction pair. However, syntax can also convey implicit information Recent work shows...

An Efficient Privacy-Preserving Intrusion Detection Scheme for UAV Swarm Networks

The rapid proliferation of unmanned aerial vehicles UAVs and their applications in diverse domains, such as surveillance, disaster management, agriculture, and defense, have revolutionized modern technology. While the potential benefits of swarm-based UAV networks are growing significantly, they...

Department-Specific Security Awareness Campaigns: A Cross-Organizational Study of HR and Accounting

Many cyberattacks succeed because they exploit flaws at the human level. To address this problem, organizations rely on security awareness programs, which aim to make employees more resilient against social engineering. While some works have suggested that such programs should account for...

Exposing Vulnerabilities in RL: A Novel Stealthy Backdoor Attack through Reward Poisoning

Reinforcement learning RL has achieved remarkable success across diverse domains, enabling autonomous systems to learn and adapt to dynamic environments by optimizing a reward function. However, this reliance on reward signals creates a significant security vulnerability. In this paper, we study ...