17631 matches found
CVE-2025-46491
CVE-2025-46491 describes a Stored XSS in the WordPress plugin Multi-Column Taxonomy List caused by improper neutralization of input during web page generation. The vulnerability affects versions up to 1.5 (as reported). The connected documents confirm the XSS type and the affected plugin, but the...
Darcula Adds GenAI to Phishing Toolkit, Lowering the Barrier for Cybercriminals
The threat actors behind the Darcula phishing-as-a-service PhaaS platform have released new updates to their cybercrime suite with generative artificial intelligence GenAI capabilities. "This addition lowers the technical barrier for creating phishing pages, enabling less tech-savvy criminals to...
CVE-2025-3435
The Mang Board WP plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the boardheader and boardfooter parameters in all versions up to, and including, 1.8.6 due to insufficient input sanitization and output escaping. This makes it possible for authenticated attackers, with...
SUSE CVE-2025-27538
Mattermost versions 10.5.x = 10.5.1, 9.11.x = 9.11.9 fail to enforce MFA checks in PUT /api/v4/users/user-id/mfa when the requesting user differs from the target user ID, which allows users with editotherusers permission to activate or deactivate MFA for other users, even if those users have not...
CVE-2025-3435 MangBoard WP <= 1.8.6 - Authenticated (Administrator+) Stored Cross-Site Scripting via Board Header And Footer
The Mang Board WP plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the boardheader and boardfooter parameters in all versions up to, and including, 1.8.6 due to insufficient input sanitization and output escaping. This makes it possible for authenticated attackers, with...
CVE-2025-3435 MangBoard WP <= 1.8.6 - Authenticated (Administrator+) Stored Cross-Site Scripting via Board Header And Footer
The Mang Board WP plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the boardheader and boardfooter parameters in all versions up to, and including, 1.8.6 due to insufficient input sanitization and output escaping. This makes it possible for authenticated attackers, with...
CVE-2025-3435: Improper Neutralization of Input During Web Page Generation
The Mang Board WP plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the boardheader and boardfooter parameters in all versions up to, and including, 1.8.6 due to insufficient input sanitization and output escaping. This makes it possible for authenticated attackers, with...
Optimized Approaches to Malware Detection: a Study of Machine Learning and Deep Learning Techniques
Digital systems find it challenging to keep up with cybersecurity threats. The daily emergence of more than 560,000 new malware strains poses significant hazards to the digital ecosystem. The traditional malware detection methods fail to operate properly and yield high false positive rates with l...
WordPress plugin Multi-Column Taxonomy List has a cross-site scripting vulnerability
WordPress and WordPress plugin are both products of the WordPress Foundation.WordPress is a blogging platform developed in the PHP language. WordPress plugin is an application plugin that supports personal blog sites on PHP and MySQL servers. A cross-site scripting vulnerability exists in WordPre...
CVE-2025-46491: Improper Neutralization of Input During Web Page Generation
Improper Neutralization of Input During Web Page Generation 'Cross-site Scripting' vulnerability in Matthew Muro Multi-Column Taxonomy List multi-column-taxonomy-list allows Stored XSS.This issue affects Multi-Column Taxonomy List: from n/a through = 1.5...
From Randomized Response to Randomized Index: Answering Subset Counting Queries with Local Differential Privacy
Local Differential Privacy LDP is the predominant privacy model for safeguarding individual data privacy. Existing perturbation mechanisms typically require perturbing the original values to ensure acceptable privacy, which inevitably results in value distortion and utility deterioration. In this...
Contrastive Learning for Continuous Touch-Based Authentication
Smart mobile devices have become indispensable in modern daily life, where sensitive information is frequently processed, stored, and transmitted-posing critical demands for robust security controls. Given that touchscreens are the primary medium for human-device interaction, continuous user...
Moodle Multiple Vulnerabilities (MSA-25-0014, MSA-25-0015, MSA-25-0017)
Moodle is prone to multiple vulnerabilities. SPDX-FileCopyrightText: 2025 Greenbone AG Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-only CPE = "cpe:/a:moodle:moodle"; ifdescription...
CVE-2025-45427
creationtimestamp| type| source ---|---|--- 2025-04-23 17:19:22+00:00| seen| https://bsky.app/profile/cve.skyfleet.blue/post/3lnipapo3j32t 2025-04-23 17:48:49+00:00| seen| https://mastodon.social/users/CyberSignaler/statuses/114388535130823992 2025-04-23 18:39:46+00:00| seen|...
Amplified Vulnerabilities: Structured Jailbreak Attacks on LLM-Based Multi-Agent Debate
Multi-Agent Debate MAD, leveraging collaborative interactions among Large Language Models LLMs, aim to enhance reasoning capabilities in complex tasks. However, the security implications of their iterative dialogues and role-playing characteristics, particularly susceptibility to jailbreak attack...
Quantifying Source Speaker Leakage in One-To-One Voice Conversion
Using a multi-accented corpus of parallel utterances for use with commercial speech devices, we present a case study to show that it is possible to quantify a degree of confidence about a source speaker's identity in the case of one-to-one voice conversion. Following voice conversion using a...
CLPSTNet: a Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning
In recent years, a large number of works have introduced Convolutional Neural Networks CNNs into image steganography, which transform traditional steganography methods such as hand-crafted features and prior knowledge design into steganography methods that neural networks autonomically learn...
Unspecified Vulnerability in Oracle MySQL (CNVD-2025-17379)
Oracle MySQL is an open source relational database management system from Oracle Corporation.MySQL Connectors is one of the drivers for connecting applications that use MySQL. A security vulnerability exists in MySQL Connectors for Oracle MySQL, which can be exploited by attackers to conduct an...
