8649 matches found
Shai-Hulud: Ongoing Package Supply Chain Worm Delivering Data-Stealing Malware
Detect and mitigate a critical supply chain compromise affecting over 100+ packages, organizations should act urgently...
Malicious code in ember-headless-form (npm)
The package was compromised and malicious code added. --- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 4687ef20e35f1ba6932bfe28dbaae50901c594a51071d24c97e6d496f7001382 Any computer that has this package installed or running should be considered fully compromised. All...
Linux Distros Unpatched Vulnerability : CVE-2023-44216
The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - PVRIC PowerVR Image Compression on Imagination 2018 and later GPU devices offers software-transparent compression that enables cross-origin pixel-stealing attac...
Secure MmWave Beamforming with Proactive-ISAC Defense against Beam-Stealing Attacks
Millimeter-wave mmWave communication systems face increasing susceptibility to advanced beam-stealing attacks, posing a significant physical layer security threat. This paper introduces a novel framework employing an advanced Deep Reinforcement Learning DRL agent for proactive and adaptive defens...
Mitigating Watermark Stealing Attacks in Generative Models Via Multi-Key Watermarking
Watermarking offers a promising solution for GenAI providers to establish the provenance of their generated content. A watermark is a hidden signal embedded in the generated content, whose presence can later be verified using a secret watermarking key. A threat to GenAI providers are \emphwaterma...
Adversarial Threats in Quantum Machine Learning: a Survey of Attacks and Defenses
Quantum Machine Learning QML integrates quantum computing with classical machine learning, primarily to solve classification, regression and generative tasks. However, its rapid development raises critical security challenges in the Noisy Intermediate-Scale Quantum NISQ era. This chapter examines...
Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks
The success of deep learning in medical imaging applications has led several companies to deploy proprietary models in diagnostic workflows, offering monetized services. Even though model weights are hidden to protect the intellectual property of the service provider, these models are exposed to...
Banana Squad Hides Data-Stealing Malware in Fake GitHub Repositories
Banana Squad hid data-stealing malware in fake GitHub repos posing as Python tools, tricking users and targeting sensitive info like browser and wallet data...
Rust-based Myth Stealer Malware Spread via Fake Gaming Sites Targets Chrome, Firefox Users
Cybersecurity researchers have shed light on a previously undocumented Rust-based information stealer called Myth Stealer that's being propagated via fraudulent gaming websites. "Upon execution, the malware displays a fake window to appear legitimate while simultaneously decrypting and executing...
CVE-2025-40675
CVE-2025-40675 is a reflected XSS vulnerability reported in Bagisto v2.0.0. The issue arises from the use of the URL parameter query in the /search endpoint, enabling an attacker to inject and execute arbitrary JavaScript in a victim’s browser. The impact described across sources includes potenti...
Stealix: Model Stealing Via Prompt Evolution
Model stealing poses a significant security risk in machine learning by enabling attackers to replicate a black-box model without access to its training data, thus jeopardizing intellectual property and exposing sensitive information. Recent methods that use pre-trained diffusion models for data...
SoK: Are Watermarks in LLMs Ready for Deployment?
Large Language Models LLMs have transformed natural language processing, demonstrating impressive capabilities across diverse tasks. However, deploying these models introduces critical risks related to intellectual property violations and potential misuse, particularly as adversaries can imitate...
BESA: Boosting Encoder Stealing Attack with Perturbation Recovery
To boost the encoder stealing attack under the perturbation-based defense that hinders the attack performance, we propose a boosting encoder stealing attack with perturbation recovery named BESA. It aims to overcome perturbation-based defenses. The core of BESA consists of two modules: perturbati...
TensorShield: Safeguarding On-Device Inference by Shielding Critical DNN Tensors with TEE
To safeguard user data privacy, on-device inference has emerged as a prominent paradigm on mobile and Internet of Things IoT devices. This paradigm involves deploying a model provided by a third party on local devices to perform inference tasks. However, it exposes the private model to two primar...
CVE-2024-22854
DOM-based HTML injection vulnerability in the main page of Darktrace Threat Visualizer version 6.1.27 bundle version 61050 and before has been identified. A URL, crafted by a remote attacker and visited by an authenticated user, allows open redirect and potential credential stealing using an...
CVE-2023-44216
PVRIC PowerVR Image Compression on Imagination 2018 and later GPU devices offers software-transparent compression that enables cross-origin pixel-stealing attacks against feTurbulence and feBlend in the SVG Filter specification, aka a GPU.zip issue. For example, attackers can sometimes accurately...
CVE-2022-30017
Rescue Dispatch Management System 1.0 suffers from Stored XSS, leading to admin account takeover via cookie stealing...
CVE-2021-42662
A Stored Cross Site Scripting XSS vulnerability exists in Sourcecodester Online Event Booking and Reservation System in PHP/MySQL via the Holiday reason parameter. An attacker can leverage this vulnerability in order to run javascript commands on the web server surfers behalf, which can lead to...
CVE-2021-29250
BTCPay Server through 1.0.7.0 suffers from a Stored Cross Site Scripting XSS vulnerability within the POS Add Products functionality. This enables cookie stealing...
CVE-2020-27885
Cross-Site Scripting XSS vulnerability on WSO2 API Manager 3.1.0. By exploiting a Cross-site scripting vulnerability the attacker can hijack a logged-in user’s session by stealing cookies which means that a malicious hacker can change the logged-in user’s password and invalidate the session of th...