FLARE: Feature-Based Lightweight Aggregation for Robust Evaluation of IoT Intrusion Detection

The proliferation of Internet of Things IoT devices has expanded the attack surface, necessitating efficient intrusion detection systems IDSs for network protection. This paper presents FLARE, a feature-based lightweight aggregation for robust evaluation of IoT intrusion detection to address the...

Cisco Secure Network Analytics Data Forgery Issue Vulnerability

Cisco Secure Network Analytics is a network security solution designed to provide enterprise-wide network visibility and advanced threat detection and response capabilities. Cisco Secure Network Analytics is vulnerable to a data forgery issue, which can be exploited by a remote attacker to submit...

Valkyrie: a Response Framework to Augment Runtime Detection of Time-Progressive Attacks

A popular approach to detect cyberattacks is to monitor systems in real-time to identify malicious activities as they occur. While these solutions aim to detect threats early, minimizing damage, they suffer from a significant challenge due to the presence of false positives. False positives have ...

CVE-2025-3404

creationtimestamp| type| source ---|---|--- 2025-04-19 08:02:08+00:00| published-proof-of-concept| https://t.me/DarkWebInformerCVEAlerts/12577 2025-04-19 08:39:13+00:00| seen| https://bsky.app/profile/cve.skyfleet.blue/post/3ln5qctubwh2h 2025-04-19 09:02:35+00:00| seen|...

CVE-2022-47112

7-Zip 22.01 does not report an error for certain invalid xz files, involving stream flags and reserved bits. Some later versions are unaffected...

Application of Deep Reinforcement Learning for Intrusion Detection in Internet of Things: a Systematic Review

The Internet of Things IoT has significantly expanded the digital landscape, interconnecting an unprecedented array of devices, from home appliances to industrial equipment. This growth enhances functionality, e.g., automation, remote monitoring, and control, and introduces substantial security...

Fedora: Security Advisory (FEDORA-2025-80600b51c5)

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-2025:1294-1)

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...

Detecting Zero-Day Web Attacks with an Ensemble of LSTM, GRU, and Stacked Autoencoders

The rapid growth in web-based services has significantly increased security risks related to user information, as web-based attacks become increasingly sophisticated and prevalent. Traditional security methods frequently struggle to detect previously unknown zero-day web attacks, putting sensitiv...

Erlang/OTP SSH Application Detection

Binary data erlangotpsshdetect.nbin...

Linux kernel 安全漏洞

Linux kernel is the kernel used by Linux, the open source operating system of the Linux Foundation in the United States. A security vulnerability exists in the Linux kernel that stems from the use of drmerr instead of deverr for the HPD path, which could lead to null pointer dereferencing...

ROFBS$Α$: Real Time Backup System Decoupled from ML Based Ransomware Detection

This study introduces ROFBS$α$, a new defense architecture that addresses delays in detection in ransomware detectors based on machine learning. It builds on our earlier Real Time Open File Backup System, ROFBS, by adopting an asynchronous design that separates backup operations from detection...

Trace Gadgets: Minimizing Code Context for Machine Learning-Based Vulnerability Prediction

As the number of web applications and API endpoints exposed to the Internet continues to grow, so does the number of exploitable vulnerabilities. Manually identifying such vulnerabilities is tedious. Meanwhile, static security scanners tend to produce many false positives. While machine...

Designing a Reliable Lateral Movement Detector Using a Graph Foundation Model

Foundation models have recently emerged as a new paradigm in machine learning ML. These models are pre-trained on large and diverse datasets and can subsequently be applied to various downstream tasks with little or no retraining. This allows people without advanced ML expertise to build ML...

Fedora: Security Advisory (FEDORA-2025-472776e5dc)

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...

SUSE: Security Advisory (SUSE-SU-2025:1324-1)

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...

Linux kernel 安全漏洞

Linux kernel is the kernel used by Linux, the open source operating system of the Linux Foundation in the United States. A security vulnerability exists in Linux kernel that stems from not properly determining the user-space replication environment, which could lead to incorrect handling...

Everything You Wanted to Know about LLM-Based Vulnerability Detection but Were Afraid to Ask

Large Language Models are a promising tool for automated vulnerability detection, thanks to their success in code generation and repair. However, despite widespread adoption, a critical question remains: Are LLMs truly effective at detecting real-world vulnerabilities? Current evaluations, which...

Towards Explainable and Lightweight AI for Real-Time Cyber Threat Hunting in Edge Networks

As cyber threats continue to evolve, securing edge networks has become increasingly challenging due to their distributed nature and resource limitations. Many AI-driven threat detection systems rely on complex deep learning models, which, despite their high accuracy, suffer from two major...

CVE-2025-39436

creationtimestamp| type| source ---|---|--- 2025-04-17 16:48:48+00:00| seen| https://mastodon.social/users/CyberSignaler/statuses/114354325261385044 2025-04-17 18:24:21+00:00| seen| https://bsky.app/profile/cve.skyfleet.blue/post/3lmzq3clqkt2v 2025-04-20 05:00:06+00:00| published-proof-of-concept...