Mageia: Security Advisory (MGASA-2025-0140)

The remote host is missing an update for the 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...

MAL-2025-6609 Malicious code in tronlid (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 387ea56c726485890b55cce5a96c6381e248be3c8eba22c22ead08e4b30db3b1 Package appears to be designed for private key exfiltration, but no known usage. The name appears to be related to the cryptocurrency TRX Tron / Tronix. Some...

CVE-2025-4005

creationtimestamp| type| source ---|---|--- 2025-04-28 07:11:43+00:00| published-proof-of-concept| https://t.me/DarkWebInformerCVEAlerts/13661 2025-04-28 07:13:24+00:00| seen| https://bsky.app/profile/potato.software/post/3lnu7pr677c2b 2025-04-28 09:41:00+00:00| seen|...

MAL-2025-3497 Malicious code in jd-npm-com-test (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 0f205097feb67db492d1ce42f141278ef445cb7792b8c530f866eb0a837e6d47 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

Simplified and Secure MCP Gateways for Enterprise AI Integration

The increased adoption of the Model Context Protocol MCP for AI Agents necessitates robust security for Enterprise integrations. This paper introduces the MCP Gateway to simplify self-hosted MCP server integration. The proposed architecture integrates security principles, authentication, intrusio...

A Cryptographic Perspective on Mitigation Vs. Detection in Machine Learning

In this paper, we initiate a cryptographically inspired theoretical study of detection versus mitigation of adversarial inputs produced by attackers of Machine Learning algorithms during inference time. We formally define defense by detection DbD and defense by mitigation DbM. Our definitions com...

Smart Water Security with AI and Blockchain-Enhanced Digital Twins

Water distribution systems in rural areas face serious challenges such as a lack of real-time monitoring, vulnerability to cyberattacks, and unreliable data handling. This paper presents an integrated framework that combines LoRaWAN-based data acquisition, a machine learning-driven Intrusion...

A Virtual Cybersecurity Department for Securing Digital Twins in Water Distribution Systems

Digital twins DTs help improve real-time monitoring and decision-making in water distribution systems. However, their connectivity makes them easy targets for cyberattacks such as scanning, denial-of-service DoS, and unauthorized access. Small and medium-sized enterprises SMEs that manage these...

openSUSE Security Advisory (SUSE-SU-2025:1370-1)

The remote host is missing an update for the 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...

Cybersecurity for Autonomous Vehicles

The increasing adoption of autonomous vehicles is bringing a major shift in the automotive industry. However, as these vehicles become more connected, cybersecurity threats have emerged as a serious concern. Protecting the security and integrity of autonomous systems is essential to prevent...

DeeCLIP: a Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images

This paper introduces DeeCLIP, a novel framework for detecting AI-generated images using CLIP-ViT and fusion learning. Despite significant advancements in generative models capable of creating highly photorealistic images, existing detection methods often struggle to generalize across different...

The Dark Side of Digital Twins: Adversarial Attacks on AI-Driven Water Forecasting

Digital twins DTs are improving water distribution systems by using real-time data, analytics, and prediction models to optimize operations. This paper presents a DT platform designed for a Spanish water supply network, utilizing Long Short-Term Memory LSTM networks to predict water consumption...

Ubuntu: Security Advisory (USN-7455-4)

The remote host is missing an update for the 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...

Mageia: Security Advisory (MGASA-2025-0138)

The remote host is missing an update for the 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...

Fedora: Security Advisory (FEDORA-2025-fd8eb9ca57)

The remote host is missing an update for the 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...

Nazgul Nostromo nhttpd Detection (HTTP)

HTTP based detection of Nazgul Nostromo nhttpd. 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...

MAL-2025-4227 Malicious code in ora3 (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 9d9ff95457d63990b263b77b0f3468dcd63e0d1837c81843b2d4249706db48c7 Package contains just a function to send out data. It or a package sharing the same IoCs is used in a malicious GitHub project to exfiltrate crypto currency...

Comparative Analysis of AI-Driven Security Approaches in DevSecOps: Challenges, Solutions, and Future Directions

The integration of security within DevOps, known as DevSecOps, has gained traction in modern software development to address security vulnerabilities while maintaining agility. Artificial Intelligence AI and Machine Learning ML have been increasingly leveraged to enhance security automation, thre...

FCGHunter: Towards Evaluating Robustness of Graph-Based Android Malware Detection

Graph-based detection methods leveraging Function Call Graphs FCGs have shown promise for Android malware detection AMD due to their semantic insights. However, the deployment of malware detectors in dynamic and hostile environments raises significant concerns about their robustness. While recent...

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection

Various deep learning DL methods have recently been utilized to detect software vulnerabilities. Real-world software vulnerability datasets are rare and hard to acquire, as there is no simple metric for classifying vulnerability. Such datasets are heavily imbalanced, and none of the current...