19030 matches found
Modern vehicle cybersecurity trends
Modern vehicles are transforming into full-fledged digital devices that offer a multitude of features, from common smartphone-like conveniences to complex intelligent systems and services designed to keep everyone on the road safe. However, this digitalization, while aimed at improving comfort an...
MixGAN: a Hybrid Semi-Supervised and Generative Approach for DDoS Detection in Cloud-Integrated IoT Networks
The proliferation of cloud-integrated IoT systems has intensified exposure to Distributed Denial of Service DDoS attacks due to the expanded attack surface, heterogeneous device behaviors, and limited edge protection. However, DDoS detection in this context remains challenging because of complex...
Cherry pie, Douglas firs and the last trip of the summer
Welcome to this week's edition of the Threat Source newsletter. Diane, 2:01 p.m., August 21st. I've just returned from a remarkable journey through Seattle and the misty roads of the Olympic Peninsula. If you ever find yourself driving beneath those towering Douglas firs or dragged by your partne...
FUJIFILM Healthcare Americas Synapse Mobility
RISK EVALUATION Successful exploitation of this vulnerability could allow an attacker to access information beyond their assigned roles. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of this vulnerability, such as: Minimize network...
F5 Networks BIG-IP : Apache HTTP server vulnerability (K000153074)
The version of F5 Networks BIG-IP installed on the remote host is prior to 17.1.3.1 / 17.5.1.4 / 21.0.0.1. It is, therefore, affected by a vulnerability as referenced in the K000153074 advisory. HTTP response splitting in the core of Apache HTTP Server allows an attacker who can manipulate the...
Aura-CAPTCHA: a Reinforcement Learning and GAN-Enhanced Multi-Modal CAPTCHA System
Aura-CAPTCHA was developed as a multi-modal CAPTCHA system to address vulnerabilities in traditional methods that are increasingly bypassed by AI technologies, such as Optical Character Recognition OCR and adversarial image processing. The design integrated Generative Adversarial Networks GANs fo...
PT-2025-49310
Name of the Vulnerable Software and Affected Versions Array Networks ArrayOS AG versions prior to 9.4.5.9 Description Array Networks ArrayOS AG before version 9.4.5.9 contains a command injection flaw. This issue has been exploited in the wild, specifically between August and December 2025,...
Citizen Lab Reports Hidden VPN Networks Sharing Ownership and Security Flaws
Citizen Lab's new report, Hidden Links, uncovers a network of VPN providers like Turbo VPN and VPN Monster…...
Default Credentials in nginx-defender Configuration Files
This is a configuration vulnerability affecting nginx-defender deployments. Example configuration files config.yaml, docker-compose.yml contain default credentials defaultpassword: "changemeplease", GFSECURITYADMINPASSWORD=admin123. If users deploy nginx-defender without changing these defaults,...
Linux Distros Unpatched Vulnerability : CVE-2024-4032
The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - The ipaddress module contained incorrect information about whether certain IPv4 and IPv6 addresses were designated as globally reachable or private. This affect...
CVE-2025-38512
In the Linux kernel, the following vulnerability has been resolved: wifi: prevent A-MSDU attacks in mesh networks This patch is a mitigation to prevent the A-MSDU spoofing vulnerability for mesh networks. The initial update to the IEEE 802.11 standard, in response to the FragAttacks, missed this...
MPOCryptoML: Multi-Pattern Based Off-Chain Crypto Money Laundering Detection
Recent advancements in money laundering detection have demonstrated the potential of using graph neural networks to capture laundering patterns accurately. However, existing models are not explicitly designed to detect the diverse patterns of off-chain cryptocurrency money laundering. Neglecting...
SUSE CVE-2025-38512
In the Linux kernel, the following vulnerability has been resolved: wifi: prevent A-MSDU attacks in mesh networks This patch is a mitigation to prevent the A-MSDU spoofing vulnerability for mesh networks. The initial update to the IEEE 802.11 standard, in response to the FragAttacks, missed this...
CVE-2025-38512
In the Linux kernel, the following vulnerability has been resolved: wifi: prevent A-MSDU attacks in mesh networks This patch is a mitigation to prevent the A-MSDU spoofing vulnerability for mesh networks. The initial update to the IEEE 802.11 standard, in response to the FragAttacks, missed this...
AZL-66398 CVE-2025-38512 affecting package kernel for versions less than 6.6.104.2-1
In the Linux kernel, the following vulnerability has been resolved: wifi: prevent A-MSDU attacks in mesh networks This patch is a mitigation to prevent the A-MSDU spoofing vulnerability for mesh networks. The initial update to the IEEE 802.11 standard, in response to the FragAttacks, missed this...
DEBIAN-CVE-2025-38512
In the Linux kernel, the following vulnerability has been resolved: wifi: prevent A-MSDU attacks in mesh networks This patch is a mitigation to prevent the A-MSDU spoofing vulnerability for mesh networks. The initial update to the IEEE 802.11 standard, in response to the FragAttacks, missed this...
UBUNTU-CVE-2025-38512
In the Linux kernel, the following vulnerability has been resolved: wifi: prevent A-MSDU attacks in mesh networks This patch is a mitigation to prevent the A-MSDU spoofing vulnerability for mesh networks. The initial update to the IEEE 802.11 standard, in response to the FragAttacks, missed this...
CVE-2025-38512 wifi: prevent A-MSDU attacks in mesh networks
In the Linux kernel, the following vulnerability has been resolved: wifi: prevent A-MSDU attacks in mesh networks This patch is a mitigation to prevent the A-MSDU spoofing vulnerability for mesh networks. The initial update to the IEEE 802.11 standard, in response to the FragAttacks, missed this...
CVE-2025-38512
Intel/summary (CVE-2025-38512) The Linux kernel patch for wifi A-MSDU spoofing in mesh networks fixes a vulnerability where an A‑MSDU could be incorrectly parsed as a standard MSDU. The mitigation detects this by parsing a received A‑MSDU as MSDU, computing the Mesh Control header length, and ver...
CVE-2025-38512
In the Linux kernel, the following vulnerability has been resolved: wifi: prevent A-MSDU attacks in mesh networks This patch is a mitigation to prevent the A-MSDU spoofing vulnerability for mesh networks. The initial update to the IEEE 802.11 standard, in response to the FragAttacks, missed this...