Accuracy and Efficiency Trade-Offs in LLM-Based Malware Detection and Explanation: A Comparative Study of Parameter Tuning Vs. Full Fine-Tuning

This study examines whether Low-Rank Adaptation LoRA fine-tuned Large Language Models LLMs can approximate the performance of fully fine-tuned models in generating human-interpretable decisions and explanations for malware classification. Achieving trustworthy malware detection, particularly when...

MAL-2025-191790 Malicious code in mescouilles (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 c081f74035c370212a2a4d7ab34d10ddc29fdb634e9cedfeeebd407e43b15fae Importing the module starts an infostealer --- Category: MALICIOUS - The campaign has clearly malicious intent, like infostealers. Campaign: 2025-11-mescouille...

LLMs As Firmware Experts: A Runtime-Grown Tree-Of-Agents Framework

Large Language Models LLMs and their agent systems have recently demonstrated strong potential in automating code reasoning and vulnerability detection. However, when applied to large-scale firmware, their performance degrades due to the binary nature of firmware, complex dependency structures, a...

Evaluation of Real-Time Mitigation Techniques for Cyber Security in IEC 61850 / IEC 62351 Substations

The digitalization of substations enlarges the cyber-attack surface, necessitating effective detection and mitigation of cyber attacks in digital substations. While machine learning-based intrusion detection has been widely explored, such methods have not demonstrated detection and mitigation...

commix-master

Commix short for command injection exploi...

A Novel and Practical Universal Adversarial Perturbations against Deep Reinforcement Learning Based Intrusion Detection Systems

Intrusion Detection Systems IDS play a vital role in defending modern cyber physical systems against increasingly sophisticated cyber threats. Deep Reinforcement Learning-based IDS, have shown promise due to their adaptive and generalization capabilities. However, recent studies reveal their...

EBPF-PATROL: Protective Agent for Threat Recognition and Overreach Limitation Using EBPF in Containerized and Virtualized Environments

With the increasing use and adoption of cloud and cloud-native computing, the underlying technologies i.e., containerization and virtualization have become foundational. However, strict isolation and maintaining runtime security in these environments has become increasingly challenging. Existing...

Federated Anomaly Detection and Mitigation for EV Charging Forecasting under Cyberattacks

Electric Vehicle EV charging infrastructure faces escalating cybersecurity threats that can severely compromise operational efficiency and grid stability. Existing forecasting techniques are limited by the lack of combined robust anomaly mitigation solutions and data privacy preservation...

Think Fast: Real-Time IoT Intrusion Reasoning Using IDS and LLMs at the Edge Gateway

As the number of connected IoT devices continues to grow, securing these systems against cyber threats remains a major challenge, especially in environments with limited computational and energy resources. This paper presents an edge-centric Intrusion Detection System IDS framework that integrate...

Exploit for Improper Authentication in Oracle Concurrent_Processing

CVE-2025-61882 & CVE-2025-61884 EDIT: Oracle just disclose...

Get Certified on Wiz Defend for Threat Detection and Response

Wiz Defend Certification validates skills in cloud threat detection and response for SOC, IT, and security professionals...

AudioCodes Fax/IVR Appliance 2.6.23 Scanner

AudioCodes Fax/IVR Appliance version 2.6.23 vulnerability scanning tool that detects instances for identification purposes but does not actively exploit them...

Huawei EulerOS: Security Advisory for openjpeg2 (EulerOS-SA-2025-2441)

The remote host is missing an update for the Huawei EulerOS SPDX-FileCopyrightText: 2025 Greenbone AG Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-only ifdescription...

Deepfake Geography: Detecting AI-Generated Satellite Images

The rapid advancement of generative models such as StyleGAN2 and Stable Diffusion poses a growing threat to the authenticity of satellite imagery, which is increasingly vital for reliable analysis and decision-making across scientific and security domains. While deepfake detection has been...

AutoGraphAD: A Novel Approach Using Variational Graph Autoencoders for Anomalous Network Flow Detection

Network Intrusion Detection Systems NIDS are essential tools for detecting network attacks and intrusions. While extensive research has explored the use of supervised Machine Learning for attack detection and characterisation, these methods require accurately labelled datasets, which are very...

Huawei EulerOS: Security Advisory for icu (EulerOS-SA-2025-2435)

The remote host is missing an update for the Huawei EulerOS SPDX-FileCopyrightText: 2025 Greenbone AG Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-only ifdescription...

curl: Out-of-bounds read in HTTP method handling causes undefined behavior and potential crash This is sharp, Gaurav. We’ve got a real memory-safety bug ins

Summary -​‍​‌‍​‍‌​‍​‌‍​‍‌ Component: libcurl core HTTP handling HTTP/2 request translation and CONNECT detection - Type: out-of-bounds read resulting from missing null-termination - Impact: Behavior not defined by the specification, the program can crash DoS and CONNECT requests can be...

Systematically Deconstructing APVD Steganography and Its Payload with a Unified Deep Learning Paradigm

In the era of digital communication, steganography allows covert embedding of data within media files. Adaptive Pixel Value Differencing APVD is a steganographic method valued for its high embedding capacity and invisibility, posing challenges for traditional steganalysis. This paper proposes a...

"To Survive, I Must Defect": Jailbreaking LLMs Via the Game-Theory Scenarios

As LLMs become more common, non-expert users can pose risks, prompting extensive research into jailbreak attacks. However, most existing black-box jailbreak attacks rely on hand-crafted heuristics or narrow search spaces, which limit scalability. Compared with prior attacks, we propose Game-Theor...

SecurityMetrics Wins “Data Leak Detection Solution of the Year” in 2025 CyberSecurity Breakthrough Awards Program

Orem, United States, November 18th, 2025, CyberNewsWire SecurityMetrics, a leading innovator in compliance and cybersecurity, today announced that…...