Malicious code in deep_eel_z3n (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector ca317d3f4010ebf98c1ddcb859e5f72cccd55980b6355a825383105d403dfb5e This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...

MAL-2025-55752 Malicious code in deep_giraffe_z3n (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 8f8e789e71cb3d452108c48dec8f4b6deb11f3dc4b1ce86c5713e335f97cceb2 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...

CLSA-2025-1762420153 delve: Fix of CVE-2024-34156

rebuild with newer golang to fix CVE-2024-34156 stack exhaustion in encoding/gob when decoding deeply nested structures...

CVE-2025-64106

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 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 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 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

Cursor (code editor with AI) versions 1.7.28 and below contain an input validation flaw in the MCP server installation that allows specially crafted deep-links to bypass security warnings and execute attacker-specified commands when a user accepts the server connection. Affected component: the MC...

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...

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

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

The issue CVE-2025-29270 affects Deep Sea Electronics DSE855 devices, specifically versions 1.1.0 through 1.1.26. The vulnerability is an incorrect access control in the realtime.cgi endpoint, which can allow an attacker to access the admin panel and take full control of the device. The impact is...

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...

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...

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...