Optigo Networks ONS NC600 信任管理问题漏洞

The Optigo Networks ONS NC600 is a professional building automation network controller from Optigo Networks designed as a security gateway for BACnet/IP and MS/TP networks. A trust management issue vulnerability exists in the Optigo Networks ONS NC600 versions 4.2.1-084 through 4.7.2-330, which...

PT-2025-19913 · Optigo Networks · Optigo Networks Ons Nc600

Name of the Vulnerable Software and Affected Versions: Optigo Networks ONS NC600 versions 4.2.1-084 through 4.7.2-330 Description: An issue exists where an attacker could connect to the device's ssh server and utilize the system's components to perform OS command executions. Recommendations: For...

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks

Hierarchical Federated Learning HFL has recently emerged as a promising solution for intelligent decision-making in vehicular networks, helping to address challenges such as limited communication resources, high vehicle mobility, and data heterogeneity. However, HFL remains vulnerable to...

Addressing Noise and Stochasticity in Fraud Detection for Service Networks

Fraud detection is crucial in social service networks to maintain user trust and improve service network security. Existing spectral graph-based methods address this challenge by leveraging different graph filters to capture signals with different frequencies in service networks. However, most...

编号撤回

goTenna Mesh is a portable mesh networking device from goTenna that builds decentralized communication networks through intelligent routing algorithms and supports offline transmission of text/location/emergency signals from smartphones. This CVE number has been withdrawn...

A Novel Feature-Aware Chaotic Image Encryption Scheme for Data Security and Privacy in IoT and Edge Networks

The security of image data in the Internet of Things IoT and edge networks is crucial due to the increasing deployment of intelligent systems for real-time decision-making. Traditional encryption algorithms such as AES and RSA are computationally expensive for resource-constrained IoT devices and...

Cert-SSB: toward Certified Sample-Specific Backdoor Defense

Deep neural networks DNNs are vulnerable to backdoor attacks, where an attacker manipulates a small portion of the training data to implant hidden backdoors into the model. The compromised model behaves normally on clean samples but misclassifies backdoored samples into the attacker-specified...

Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks

Graph neural networks have been widely utilized to solve graph-related tasks because of their strong learning power in utilizing the local information of neighbors. However, recent studies on graph adversarial attacks have proven that current graph neural networks are not robust against malicious...

F5 Networks BIG-IP : PostgreSQL vulnerability (K000151082)

The version of F5 Networks BIG-IP installed on the remote host is prior to 17.1.1. It is, therefore, affected by a vulnerability as referenced in the K000151082 advisory. A flaw was found in postgresql in versions before 13.3, before 12.7, before 11.12, before 10.17 and before 9.6.22. While...

Russian Infrastructure Plays Crucial Role in North Korean Cybercrime Operations

In this blog entry, we discuss how North Korea's significant role in cybercrime – including campaigns attributed to Void Dokkaebi – is facilitated by extensive use of anonymization networks and the use of Russian IP ranges...

(0Day) Cato Networks Cato Client for macOS Helper Service Time-Of-Check Time-Of-Use Local Privilege Escalation Vulnerability

This vulnerability allows local attackers to escalate privileges on affected installations of Cato Networks Cato Client for macOS. An attacker must first obtain the ability to execute low-privileged code on the target system in order to exploit this vulnerability. The specific flaw exists within...

Breaking the Flow and the Bank: Stealthy Cyberattacks on Water Network Hydraulics

As water distribution networks WDNs become increasingly connected with digital infrastructures, they face greater exposure to cyberattacks that threaten their operational integrity. Stealthy False Data Injection Attacks SFDIAs are particularly concerning, as they manipulate sensor data to...

Quantum Technologies for beyond 5G and 6G Networks: Applications, Opportunities, and Challenges

As the world prepares for the advent of 6G networks, quantum technologies are becoming critical enablers of the next generation of communication systems. This survey paper investigates the convergence of quantum technologies and 6G networks, focusing on their applications, opportunities and...

The vulnerability of the Control Protocol Director (l2cpd) in Juniper Networks’ Junos OS and Junos OS Evolved operating systems allows a attacker to cause a service failure.

The vulnerability of the Control Protocol Director l2cpd in Juniper Networks’ Junos OS and Junos OS Evolved operating systems is related to type errors in implicit conversions. Exploiting this vulnerability can allow a malicious actor to trigger a service failure by sending a specially crafted LL...

BIT-PYTORCH-2025-32434 PyTorch: `torch.load` with `weights_only=True` leads to remote code execution

PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command Execution RCE vulnerability exists in PyTorch when loading a model using torch.load with...

Trustworthy Decentralized Autonomous Machines: a New Paradigm in Automation Economy

Decentralized Autonomous Machines DAMs represent a transformative paradigm in automation economy, integrating artificial intelligence AI, blockchain technology, and Internet of Things IoT devices to create self-governing economic agents participating in Decentralized Physical Infrastructure...

[SECURITY] Fedora 42 Update: prometheus-podman-exporter-1.16.0-1.fc42

Prometheus exporter for podman environments exposing containers, pods, images, volumes and networks information...

Scalable APT Malware Classification Via Parallel Feature Extraction and GPU-Accelerated Learning

This paper presents an underlying framework for both automating and accelerating malware classification, more specifically, mapping malicious executables to known Advanced Persistent Threat APT groups. The main feature of this analysis is the assembly-level instructions present in executables whi...

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-2025-25234

Omnissa UAG contains a Cross-Origin Resource Sharing CORS bypass vulnerability. A malicious actor with network access to UAG may be able to bypass administrator-configured CORS restrictions to gain access to sensitive networks...