35668 matches found
MAL-2025-6242 Malicious code in dexa56 (npm)
--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware f43715f87a1218ff23eb2b375c7b84ac74b6e17a9035aeb9ea4c0657546b4484 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...
MAL-2025-6244 Malicious code in jet-os-detection (npm)
--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware ae12c732362620c804ce4ff9fc2e85cd4f861a8084f6b9016fe67ce31b57c955 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...
Malicious code in jet-os-detection (npm)
--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware ae12c732362620c804ce4ff9fc2e85cd4f861a8084f6b9016fe67ce31b57c955 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...
Enhancing IoT Intrusion Detection Systems through Adversarial Training
The augmentation of Internet of Things IoT devices transformed both automation and connectivity but revealed major security vulnerabilities in networks. We address these challenges by designing a robust intrusion detection system IDS to detect complex attacks by learning patterns from the...
CVE-2025-50128
creationtimestamp| type| source ---|---|--- 2025-07-24 15:30:17+00:00| seen| https://infosec.place/objects/333685a9-60c1-49f8-bf8f-d77381bb539f...
AI-generated image watermarks can be easily removed, say researchers
Now that AI can make fake images that look real, how can we know what's legitimate and what isn't? One of the primary ways has been the use of defensive watermarking, which means embedding invisible markers in AI-generated images to show they were made up. Now, researchers have broken that...
Information Security Based on LLM Approaches: a Review
Information security is facing increasingly severe challenges, and traditional protection means are difficult to cope with complex and changing threats. In recent years, as an emerging intelligent technology, large language models LLMs have shown a broad application prospect in the field of...
Debian: Security Advisory (DLA-4248-1)
The remote host is missing an update for the Debian 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...
Secure One-Sided Device-Independent Quantum Key Distribution under Collective Attacks with Enhanced Robustness
We study the security of a quantum key distribution QKD protocol under the one-sided device-independent 1sDI setting, which assumes trust in only one party's measurement device. This approach effectively provides a balance between the experimental viability of device-dependent DD-QKD and the...
Sonos Device Detection (AirPlay)
AirPlay based detection of Sonos devices. 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 scriptoid"1.3.6.1.4.1.25623.1.0.155013"...
Fedora: Security Advisory (FEDORA-2025-27b8e92f04)
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...
Unmasking Synthetic Realities in Generative AI: a Comprehensive Review of Adversarially Robust Deepfake Detection Systems
The rapid advancement of Generative Artificial Intelligence has fueled deepfake proliferation-synthetic media encompassing fully generated content and subtly edited authentic material-posing challenges to digital security, misinformation mitigation, and identity preservation. This systematic revi...
Regression-Aware Continual Learning for Android Malware Detection
Malware evolves rapidly, forcing machine learning ML-based detectors to adapt continuously. With antivirus vendors processing hundreds of thousands of new samples daily, datasets can grow to billions of examples, making full retraining impractical. Continual learning CL has emerged as a scalable...
openSUSE Security Advisory (SUSE-SU-2025:02447-1)
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...
Debian: Security Advisory (DLA-4249-1)
The remote host is missing an update for the Debian 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...
SUSE: Security Advisory (SUSE-SU-2025:02471-1)
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...
openSUSE Security Advisory (SUSE-SU-2025:02448-1)
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...
CVE-2025-2634
creationtimestamp| type| source ---|---|--- 2025-07-23 18:35:58+00:00| seen| https://bsky.app/profile/cve.skyfleet.blue/post/3lunnxhmdce2i 2025-07-29 10:00:00+00:00| seen| https://www.cisa.gov/news-events/ics-advisories/icsa-25-210-01...
Kerberoasting Detections: A New Approach to a Decade-Old Challenge
Security experts have been talking about Kerberoasting for over a decade, yet this attack continues to evade typical defense methods. Why? It's because existing detections rely on brittle heuristics and static rules, which don't hold up for detecting potential attack patterns in highly variable...