CVE-2016-15043

WP Mobile Detector plugin for WordPress

CVE-2016-15043 WP Mobile Detector <= 3.5 - Arbitrary File Upload

The WP Mobile Detector plugin for WordPress is vulnerable to arbitrary file uploads due to missing file type validation in resize.php file in versions up to, and including, 3.5. This makes it possible for unauthenticated attackers to upload arbitrary files on the affected sites server which may...

CVE-2016-15043 WP Mobile Detector <= 3.5 - Arbitrary File Upload

The WP Mobile Detector plugin for WordPress is vulnerable to arbitrary file uploads due to missing file type validation in resize.php file in versions up to, and including, 3.5. This makes it possible for unauthenticated attackers to upload arbitrary files on the affected sites server which may...

WordPress plugin WP Mobile Detector 代码问题漏洞

WordPress and WordPress plugin are both products of the WordPress Foundation.WordPress is a blogging platform developed using the PHP language. The platform supports setting up personal blog sites on servers with PHP and MySQL.WordPress plugin is an application plugin. A code issue vulnerability...

PT-2025-30129

Name of the Vulnerable Software and Affected Versions WP Mobile Detector versions up to and including 3.5 Description The WP Mobile Detector plugin for WordPress is vulnerable to arbitrary file uploads due to missing file type validation in the resize.php file. This allows unauthenticated attacke...

CovertAuth: Joint Covert Communication and Authentication in MmWave Systems

Beam alignment BA is a crucial process in millimeter-wave mmWave communications, enabling precise directional transmission and efficient link establishment. However, due to characteristics like omnidirectional exposure and the broadcast nature of the BA phase, it is particularly vulnerable to...

Universal and Efficient Detection of Adversarial Data through Nonuniform Impact on Network Layers

Deep Neural Networks DNNs are notoriously vulnerable to adversarial input designs with limited noise budgets. While numerous successful attacks with subtle modifications to original input have been proposed, defense techniques against these attacks are relatively understudied. Existing defense...

DEBIAN-CVE-2022-49994

In the Linux kernel, the following vulnerability has been resolved: bootmem: remove the vmemmap pages from kmemleak in putpagebootmem The vmemmap pages is marked by kmemleak when allocated from memblock. Remove it from kmemleak when freeing the page. Otherwise, when we reuse the page, kmemleak ma...

CVE-2022-49994

In the Linux kernel, the following vulnerability has been resolved: bootmem: remove the vmemmap pages from kmemleak in putpagebootmem The vmemmap pages is marked by kmemleak when allocated from memblock. Remove it from kmemleak when freeing the page. Otherwise, when we reuse the page, kmemleak ma...

Linux kernel 安全漏洞

Linux kernel is the kernel used by Linux, the open source operating system of the Linux Foundation in the United States. A security vulnerability exists in the Linux kernel that stems from bootmem not removing the vmemmap page from kmemleak, which could cause memory leak detection to stop...

Securing Traffic Sign Recognition Systems in Autonomous Vehicles

Deep Neural Networks DNNs are widely used for traffic sign recognition because they can automatically extract high-level features from images. These DNNs are trained on large-scale datasets obtained from unknown sources. Therefore, it is important to ensure that the models remain secure and are n...

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection

The challenges derived from the data-intensive nature of machine learning in conjunction with technologies that enable novel paradigms such as V2X and the potential offered by 5G communication, allow and justify the deployment of Federated Learning FL solutions in the vehicular intrusion detectio...

Fooling the Watchers: Breaking AIGC Detectors Via Semantic Prompt Attacks

The rise of text-to-image T2I models has enabled the synthesis of photorealistic human portraits, raising serious concerns about identity misuse and the robustness of AIGC detectors. In this work, we propose an automated adversarial prompt generation framework that leverages a grammar tree...

Test-Time Immunization: a Universal Defense Framework against Jailbreaks for (Multimodal) Large Language Models

While multimodal large language models LLMs have attracted widespread attention due to their exceptional capabilities, they remain vulnerable to jailbreak attacks. Various defense methods are proposed to defend against jailbreak attacks, however, they are often tailored to specific types of...

Mal-D2GAN: Double-Detector Based GAN for Malware Generation

Machine learning ML has been developed to detect malware in recent years. Most researchers focused their efforts on improving the detection performance but ignored the robustness of the ML models. In addition, many machine learning algorithms are very vulnerable to intentional attacks. To solve...

CVE-2025-22732

Improper Neutralization of Input During Web Page Generation 'Cross-site Scripting' vulnerability in Admiral Ad Blocking Detector ad-blocking-detector allows Stored XSS.This issue affects Ad Blocking Detector: from n/a through = 3.6.0...

CVE-2024-54157

In JetBrains YouTrack before 2024.3.52635 potential ReDoS was possible due to vulnerable RegExp in Ruby syntax detector...

CVE-2023-23933

OpenSearch Anomaly Detection identifies atypical data and receives automatic notifications. There is an issue with the application of document and field level restrictions in the Anomaly Detection plugin, where users with the Anomaly Detector role can read aggregated numerical data e.g. averages,...

CVE-2023-2353

The CHP Ads Block Detector plugin for WordPress is vulnerable to unauthorized plugin settings update and reset due to a missing capability check on the chpabdaction function in versions up to, and including, 3.9.4. This makes it possible for subscriber-level attackers to change or reset plugin...

CVE-2023-3456

Vulnerability of kernel raw address leakage in the hang detector module. Successful exploitation of this vulnerability may affect service confidentiality...