CVE-2025-64106 Cursor: Speedbump Modal Bypass in MCP Server Deep-Link

Cursor is a code editor built for programming with AI. In versions 1.7.28 and below, an input validation flaw in Cursor's MCP server installation enables specially crafted deep-links to bypass the standard security warnings and conceal executed commands from users if they choose to accept the...

CVE-2025-64106: Improper Neutralization of Special Elements used in an OS Command

Cursor is a code editor built for programming with AI. In versions 1.7.28 and below, an input validation flaw in Cursor's MCP server installation enables specially crafted deep-links to bypass the standard security warnings and conceal executed commands from users if they choose to accept the...

Cursor 操作系统命令注入漏洞

Cursor is an AI code editor from Cursor Open Source. An operating system command injection vulnerability exists in Cursor versions 1.7.28 and earlier, which stems from insufficient input validation during the MCP server installation process, and could lead to a specially crafted deep link bypassi...

PT-2025-45060

Name of the Vulnerable Software and Affected Versions Cursor versions 1.7.28 and below Description Cursor is a code editor designed for programming with AI. An input validation issue within Cursor’s MCP server installation allows maliciously crafted deep-links to circumvent standard security...

Machine and Deep Learning for Indoor UWB Jammer Localization

Ultra-wideband UWB localization delivers centimeter-scale accuracy but is vulnerable to jamming attacks, creating security risks for asset tracking and intrusion detection in smart buildings. Although machine learning ML and deep learning DL methods have improved tag localization, localizing...

CVE-2025-29270

Incorrect access control in the realtime.cgi endpoint of Deep Sea Electronics devices DSE855 v1.1.0 to v1.1.26 allows attackers to gain access to the admin panel and complete control of the device...

Penetrating the Hostile: Detecting DeFi Protocol Exploits through Cross-Contract Analysis

Decentralized finance DeFi protocols are crypto projects developed on the blockchain to manage digital assets. Attacks on DeFi have been frequent and have resulted in losses exceeding $80 billion. Current tools detect and locate possible vulnerabilities in contracts by analyzing the state changes...

CVE-2025-29270

Incorrect access control in the realtime.cgi endpoint of Deep Sea Electronics devices DSE855 v1.1.0 to v1.1.26 allows attackers to gain access to the admin panel and complete control of the device...

CVE-2025-29270

Incorrect access control in the realtime.cgi endpoint of Deep Sea Electronics devices DSE855 v1.1.0 to v1.1.26 allows attackers to gain access to the admin panel and complete control of the device...

MalDataGen: A Modular Framework for Synthetic Tabular Data Generation in Malware Detection

High-quality data scarcity hinders malware detection, limiting ML performance. We introduce MalDataGen, an open-source modular framework for generating high-fidelity synthetic tabular data using modular deep learning models e.g., WGAN-GP, VQ-VAE. Evaluated via dual validation TR-TS/TS-TR, seven...

CVE-2025-29270: Exposure of Sensitive Information to an Unauthorized Actor

Incorrect access control in the realtime.cgi endpoint of Deep Sea Electronics devices DSE855 v1.1.0 to v1.1.26 allows attackers to gain access to the admin panel and complete control of the device...

CVE-2025-29270

Deep Sea Electronics DSE855 USB to Ethernet communication devices, versions v1.1.0 through v1.1.26 , are susceptible to an incorrect access control vulnerability in the realtime.cgi endpoint. This flaw allows an unauthenticated attacker to bypass security measures, gain access to the administrato...

CVE-2025-29270

Incorrect access control in the realtime.cgi endpoint of Deep Sea Electronics devices DSE855 v1.1.0 to v1.1.26 allows attackers to gain access to the admin panel and complete control of the device...

PT-2025-44641

Name of the Vulnerable Software and Affected Versions Deep Sea Electronics DSE855 versions 1.1.0 through 1.1.26 Description A flaw exists in access control within the realtime.cgi endpoint of Deep Sea Electronics devices. This allows attackers to access the admin panel and gain complete control o...

A DRL-Empowered Multi-Level Jamming Approach for Secure Semantic Communication

Semantic communication SemCom aims to transmit only task-relevant information, thereby improving communication efficiency but also exposing semantic information to potential eavesdropping. In this paper, we propose a deep reinforcement learning DRL-empowered multi-level jamming approach to enhanc...

Nextcloud: Improper input validation On Exported deep-link handler crashes `FileDisplayActivity` on crafted external URL — Denial-of-Service

A vulnerability was discovered in the Nextcloud Android client application where improper input validation in the exported deep-link handler caused a null dereference in the FileDisplayActivity component. This resulted in an unhandled NullPointerException and application crash when the deep-link...

EulerOS 2.0 SP13 : polkit (EulerOS-SA-2025-2274)

According to the versions of the polkit packages installed, the EulerOS installation on the remote host is affected by the following vulnerabilities : A flaw was found in polkit. When processing an XML policy with 32 or more nested elements in depth, an out-of-bounds write can be triggered. This...

Security Bulletin: vulerability in IBM Spectrum Symphony with Elasticsearch

Summary vulerability in IBM Spectrum Symphony with Elasticsearch Vulnerability Details CVEID:CVE-2024-23450 DESCRIPTION: A flaw was discovered in Elasticsearch, where processing a document in a deeply nested pipeline on an ingest node could cause the Elasticsearch node to crash. CWE:CWE-400:...

Enhancing Security in Deep Reinforcement Learning: A Comprehensive Survey on Adversarial Attacks and Defenses

With the wide application of deep reinforcement learning DRL techniques in complex fields such as autonomous driving, intelligent manufacturing, and smart healthcare, how to improve its security and robustness in dynamic and changeable environments has become a core issue in current research...

Exploring the Effect of DNN Depth on Adversarial Attacks in Network Intrusion Detection Systems

Adversarial attacks pose significant challenges to Machine Learning ML systems and especially Deep Neural Networks DNNs by subtly manipulating inputs to induce incorrect predictions. This paper investigates whether increasing the layer depth of deep neural networks affects their robustness agains...