Allocation of Resources Without Limits or Throttling

Overview Affected versions of this package are vulnerable to Allocation of Resources Without Limits or Throttling due to the improper enforcement of resource limits in the nftables rules generation process for managed bridge networks. An attacker can exhaust the DHCP pool and disrupt network...

CVE-2025-53122

Improper Neutralization of Special Elements used in an SQL Command 'SQL Injection' vulnerability in OpenNMS Horizon and Meridian applications allows SQL Injection. Users should upgrade to Meridian 2024.2.6 or newer, or Horizon 33.16 or newer. Meridian and Horizon installation instructions state...

CVE-2025-53122 SQLi in OpenNMS Horizon and Meridian

Improper Neutralization of Special Elements used in an SQL Command 'SQL Injection' vulnerability in OpenNMS Horizon and Meridian applications allows SQL Injection. Users should upgrade to Meridian 2024.2.6 or newer, or Horizon 33.16 or newer. Meridian and Horizon installation instructions state...

CVE-2025-53121

Multiple stored XSS were found on different nodes with unsanitized parameters in OpenMNS Horizon 33.0.8 and versions earlier than 33.1.6 on multiple platforms that allow an attacker to store on database and then inject HTML and/or Javascript on the page. The solution is to upgrade to Horizon...

CVE-2025-53121

CVE-2025-53121 : OpenNMS Horizon contains a stored XSS vulnerability on multiple nodes caused by unsanitized parameters. Affects Horizon 33.0.8 and all versions prior to 33.1.6. The issue allows an attacker to store data in the database and later render malicious HTML/JavaScript on vulnerable pag...

IDGraphs: Intrusion Detection and Analysis Using Stream Compositing

Traffic anomalies and attacks are commonplace in today's networks and identifying them rapidly and accurately is critical for large network operators. For a statistical intrusion detection system IDS, it is crucial to detect at the flow-level for accurate detection and mitigation. However, existi...

PhishKey: a Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction

Phishing attacks pose a significant cybersecurity threat, evolving rapidly to bypass detection mechanisms and exploit human vulnerabilities. This paper introduces PhishKey to address the challenges of adaptability, robustness, and efficiency. PhishKey is a novel phishing detection method using...

CVE-2025-52890 Incus vulnerable to antispoofing nftables firewall rule bypass on bridge networks with ACLs

Incus is a system container and virtual machine manager. When using an ACL on a device connected to a bridge, Incus versions 6.12 and 6.13generates nftables rules that partially bypass security options security.macfiltering, security.ipv4filtering and security.ipv6filtering. This can lead to ARP...

CVE-2025-52890

Incus CVE-2025-52890 affects the Incus system container/VM manager; versions 6.12 and 6.13 generate nftables rules when an ACL is used on a bridge-connected device, which partially bypasses security.mac_filtering, security.ipv4_filtering and security.ipv6_filtering. This can enable ARP spoofing o...

CVE-2025-52889

Incus (system container/VM manager) on versions 6.12–6.13 is vulnerable when an ACL on a bridge-connected device is used: nftables rules for local services can bypass security.mac_filtering, security.ipv4_filtering, and security.ipv6_filtering, enabling DHCP pool exhaustion and potential further ...

Poster: Enhancing GNN Robustness for Network Intrusion Detection Via Agent-Based Analysis

Graph Neural Networks GNNs show great promise for Network Intrusion Detection Systems NIDS, particularly in IoT environments, but suffer performance degradation due to distribution drift and lack robustness against realistic adversarial attacks. Current robustness evaluations often rely on...

Perry: a High-Level Framework for Accelerating Cyber Deception Experimentation

Cyber deception aims to distract, delay, and detect network attackers with fake assets such as honeypots, decoy credentials, or decoy files. However, today, it is difficult for operators to experiment, explore, and evaluate deception approaches. Existing tools and platforms have non-portable and...

Generative AI for Vulnerability Detection in 6G Wireless Networks: Advances, Case Study, and Future Directions

The rapid advancement of 6G wireless networks, IoT, and edge computing has significantly expanded the cyberattack surface, necessitating more intelligent and adaptive vulnerability detection mechanisms. Traditional security methods, while foundational, struggle with zero-day exploits, adversarial...

DHS Warns Pro-Iranian Hackers Likely to Target U.S. Networks After Iranian Nuclear Strikes

The United States government has warned of cyber attacks mounted by pro-Iranian groups after it launched airstrikes on Iranian nuclear sites as part of the Iran–Israel war that commenced on June 13, 2025. Stating that the ongoing conflict has created a "heightened threat environment" in the...

Vulnerability Assessment Combining CVSS Temporal Metrics and Bayesian Networks

Vulnerability assessment is a critical challenge in cybersecurity, particularly in industrial environments. This work presents an innovative approach by incorporating the temporal dimension into vulnerability assessment, an aspect neglected in existing literature. Specifically, this paper focuses...

LiSec-RTF: Reinforcing RPL Resilience against Routing Table Falsification Attack in 6LoWPAN

Routing Protocol for Low-Power and Lossy Networks RPL is an energy-efficient routing solution for IPv6 over Low-Power Wireless Personal Area Networks 6LoWPAN, recommended for resource-constrained devices. While RPL offers significant benefits, its security vulnerabilities pose challenges,...

Technical Evaluation of a Disruptive Approach in Homomorphic AI

We present a technical evaluation of a new, disruptive cryptographic approach to data security, known as HbHAI Hash-based Homomorphic Artificial Intelligence. HbHAI is based on a novel class of key-dependent hash functions that naturally preserve most similarity properties, most AI algorithms rel...

Intriguing Frequency Interpretation of Adversarial Robustness for CNNs and ViTs

Adversarial examples have attracted significant attention over the years, yet understanding their frequency-based characteristics remains insufficient. In this paper, we investigate the intriguing properties of adversarial examples in the frequency domain for the image classification task, with t...

An Attack Method for Medical Insurance Claim Fraud Detection Based on Generative Adversarial Network

Insurance fraud detection represents a pivotal advancement in modern insurance service, providing intelligent and digitalized monitoring to enhance management and prevent fraud. It is crucial for ensuring the security and efficiency of insurance systems. Although AI and machine learning algorithm...

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs

Chip manufacturing is a complex process, and to achieve a faster time to market, an increasing number of untrusted third-party tools and designs from around the world are being utilized. The use of these untrusted third party intellectual properties IPs and tools increases the risk of adversaries...