Radiometrics VizAir

RISK EVALUATION Successful exploitation of these vulnerabilities could allow attackers to manipulate critical weather parameters and runway settings, mislead air traffic control and pilots, extract sensitive meteorological data, and cause significant disruption to airport operations, leading to...

Delta Electronics CNCSoft-G2

RISK EVALUATION Successful exploitation of this vulnerability could allow attackers to execute arbitrary code in the context of the current process. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of this vulnerability, such as:...

Survision License Plate Recognition Camera

RISK EVALUATION Successful exploitation of this vulnerability could allow an attacker to fully access the system without requiring authentication. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of this vulnerability, such as: Minimize...

IDIS ICM Viewer

RISK EVALUATION Successful exploitation of this vulnerability could result in an attacker executing arbitrary code. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of this vulnerability, such as: Minimize network exposure for all...

Towards Ultra-Low Latency: Binarized Neural Network Architectures for In-Vehicle Network Intrusion Detection

The Control Area Network CAN protocol is essential for in-vehicle communication, facilitating high-speed data exchange among Electronic Control Units ECUs. However, its inherent design lacks robust security features, rendering vehicles susceptible to cyberattacks. While recent research has...

Android Malware Detection: A Machine Learning Approach

This study examines machine learning techniques like Decision Trees, Support Vector Machines, Logistic Regression, Neural Networks, and ensemble methods to detect Android malware. The study evaluates these models on a dataset of Android applications and analyzes their accuracy, efficiency, and...

Astra Linux – Vulnerability found in Linux 6.1, Linux 6.12

IEEE P802.11-REVme D1.1 through D7.0 allow FragAttacks against mesh networks. In mesh networks that use Wi-Fi Protected Access WPA, WPA2, or WPA3 or Wired Equivalent Privacy WEP, an adversary can exploit this vulnerability to inject arbitrary frames towards devices that support receiving non-SSP...

CVE-2025-59501

Authentication bypass by spoofing in Microsoft Configuration Manager allows an authorized attacker to perform spoofing over an adjacent network...

Salt Typhoon APT Group: What Public Sector Leaders and Defenders Should Know

The Rapid7 Threat Focus: Salt Typhoon report profiles one of the most sophisticated and persistent state-sponsored threat actors operating today. Salt Typhoon, a Chinese espionage advanced persistent threat APT group linked to the Ministry of State Security MSS, has spent years infiltrating globa...

How scammers use your data to create personalized tricks that work

Think of your digital footprint as your online shadow—the trail you leave behind whenever you browse, post, shop, or even appear in someone’s contact list. It’s your likes, reviews, comments, and all the little traces you didn’t mean to share. Together, they paint a picture of you—one that friend...

CVE-2025-53880 susemanager-tftpsync-recv allows arbitrary file creation and deletion due to path traversal

A Path Traversal vulnerability in the tftpsync/add and tftpsync/delete scripts allows a remote attacker on an adjacent network to write or delete files on the filesystem with the privileges of the unprivileged wwwrun user. Although the endpoint is unauthenticated, access is restricted to a list o...

International Standards Organization ISO 15118-2 (Update A)

RISK EVALUATION Successful exploitation of this vulnerability could result in man-in-the-middle attacks. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of this vulnerability, such as: Minimize network exposure for all control system...

A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection

Anomaly detection is a critical task in cybersecurity, where identifying insider threats, access violations, and coordinated attacks is essential for ensuring system resilience. Graph-based approaches have become increasingly important for modeling entity interactions, yet most rely on homogeneou...

Twin-Field Quantum Key Distribution: Protocols, Security, and Open Problems

Twin-Field Quantum Key Distribution TF-QKD has emerged as a potential protocol for long distance secure communication, overcoming the rate-distance limitations of conventional quantum key distribution without requiring trusted repeaters. By having two parties transmit phase encoded weak coherent...

Vertikal Systems Hospital Manager Backend Services

RISK EVALUATION Successful exploitation of these vulnerabilities could allow an attacker to obtain unauthorized access to and disclose sensitive information. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of these vulnerabilities, such...

Attention Augmented GNN RNN-Attention Models for Advanced Cybersecurity Intrusion Detection

In this paper, we propose a novel hybrid deep learning architecture that synergistically combines Graph Neural Networks GNNs, Recurrent Neural Networks RNNs, and multi-head attention mechanisms to significantly enhance cybersecurity intrusion detection capabilities. By leveraging the comprehensiv...

[SECURITY] Fedora 43 Update: wireshark-4.6.0-1.fc43

Wireshark allows you to examine protocol data stored in files or as it is captured from wired or wireless WiFi or Bluetooth networks, USB devices, and many other sources. It supports dozens of protocol capture file formats and understands more than a thousand protocols. It has many powerful...

This ‘Privacy Browser’ Has Dangerous Hidden Features

The Universe Browser is believed to have been downloaded millions of times. But researchers say it behaves like malware and has links to Asia’s booming cybercrime and illegal gambling networks...

An Experimental Study of Trojan Vulnerabilities in UAV Autonomous Landing

This study investigates the vulnerabilities of autonomous navigation and landing systems in Urban Air Mobility UAM vehicles. Specifically, it focuses on Trojan attacks that target deep learning models, such as Convolutional Neural Networks CNNs. Trojan attacks work by embedding covert triggers...

CVE-2025-40778

A vulnerability exists in BIND’s DNS resolver logic that makes it overly permissive when accepting resource records RRs in responses. Under certain conditions, this flaw allows attackers to inject unsolicited or forged DNS records into the cache. This can be exploited to poison the resolver cache...