535 matches found
WordPress plugin Attention Bar 安全漏洞
WordPress and the WordPress plugin are products of the WordPress Foundation, a blogging platform developed in the PHP language. The platform has the ability to host personal blog sites on PHP and MySQL based servers.WordPress plugin is an application plugin. A security vulnerability exists in...
ForensicFlow: A Tri-Modal Adaptive Network for Robust Deepfake Detection
Deepfakes generated by advanced GANs and autoencoders severely threaten information integrity and societal stability. Single-stream CNNs fail to capture multi-scale forgery artifacts across spatial, texture, and frequency domains, limiting robustness and generalization. We introduce the...
HyMAD: A Hybrid Multi-Activity Detection Approach for Border Surveillance and Monitoring
Seismic sensing has emerged as a promising solution for border surveillance and monitoring; the seismic sensors that are often buried underground are small and cannot be noticed easily, making them difficult for intruders to detect, avoid, or vandalize. This significantly enhances their...
DualTAP: A Dual-Task Adversarial Protector for Mobile MLLM Agents
The reliance of mobile GUI agents on Multimodal Large Language Models MLLMs introduces a severe privacy vulnerability: screenshots containing Personally Identifiable Information PII are often sent to untrusted, third-party routers. These routers can exploit their own MLLMs to mine this data,...
CVE-2025-12471
The Hubbub Lite – Fast, free social sharing and follow buttons plugin for WordPress is vulnerable to Reflected Cross-Site Scripting via the 'dpsplistattentionsearch' parameter in all versions up to, and including, 1.36.0 due to insufficient input sanitization and output escaping. This makes it...
CVE-2025-12471
The Hubbub Lite – Fast, free social sharing and follow buttons plugin for WordPress is vulnerable to Reflected Cross-Site Scripting via the 'dpsplistattentionsearch' parameter in all versions up to, and including, 1.36.0 due to insufficient input sanitization and output escaping. This makes it...
CVE-2025-12471 Hubbub Lite <= 1.36.0 - Reflected Cross-Site Scripting
The Hubbub Lite – Fast, free social sharing and follow buttons plugin for WordPress is vulnerable to Reflected Cross-Site Scripting via the 'dpsplistattentionsearch' parameter in all versions up to, and including, 1.36.0 due to insufficient input sanitization and output escaping. This makes it...
EUVD-2025-37978
The Hubbub Lite – Fast, free social sharing and follow buttons plugin for WordPress is vulnerable to Reflected Cross-Site Scripting via the 'dpsplistattentionsearch' parameter in all versions up to, and including, 1.36.0 due to insufficient input sanitization and output escaping. This makes it...
PT-2025-45179
Name of the Vulnerable Software and Affected Versions Hubbub Lite versions up to and including 1.36.0 Description The Hubbub Lite – Fast, free social sharing and follow buttons plugin for WordPress is susceptible to Reflected Cross-Site Scripting due to inadequate input sanitization and output...
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...
Can Transformer Memory Be Corrupted? Investigating Cache-Side Vulnerabilities in Large Language Models
Even when prompts and parameters are secured, transformer language models remain vulnerable because their key-value KV cache during inference constitutes an overlooked attack surface. This paper introduces Malicious Token Injection MTI, a modular framework that systematically perturbs cached key...
Clutch Control: An Attention-Based Combinatorial Bandit for Efficient Mutation in JavaScript Engine Fuzzing
JavaScript engines are widely used in web browsers, PDF readers, and server-side applications. The rise in concern over their security has led to the development of several targeted fuzzing techniques. However, existing approaches use random selection to determine where to perform mutations in...
A Graph-Attentive LSTM Model for Malicious URL Detection
Malicious URLs pose significant security risks as they facilitate phishing attacks, distribute malware, and empower attackers to deface websites. Blacklist detection methods fail to identify new or obfuscated URLs because they depend on pre-existing patterns. This work presents a hybrid deep...
EUVD-2021-27173
Malware in sbrugna...
EUVD-2006-4085
Malware in sbrugna...
PhishSSL: Self-Supervised Contrastive Learning for Phishing Website Detection
Phishing websites remain a persistent cybersecurity threat by mimicking legitimate sites to steal sensitive user information. Existing machine learning-based detection methods often rely on supervised learning with labeled data, which not only incurs substantial annotation costs but also limits...
EUVD-2022-27202
Malicious code in bioql PyPI...
EUVD-2025-5048
Malicious code in bioql PyPI...