EUVD-2025-71973

Malicious code in robusttealsilkworm-65-tisubasah npm...

EUVD-2025-73899

Malicious code in robustpinnipedz3n npm...

MAL-2025-96391 Malicious code in robust_pinniped_z3n (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 885a4cc97a0a5ab9f13060e7addd9821cca4d067683f83aa29b0e69bc888b383 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...

Malicious code in robust_guppy_z3n (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 7a038ede0bbe240978aaffaaf502cd4c0a388e0bb9d5a8609c59513400b28896 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...

EUVD-2025-67025

Malicious code in robustguppyz3n npm...

EUVD-2025-52240

Malicious code in robust-tomato-shrimp npm...

EUVD-2025-52241

Malicious code in robust-gold-crocodile npm...

MAL-2025-70408 Malicious code in robust-gold-crocodile (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 0ba42932df7d8bb63e5d3c1050731f5c66bf4631014b7128d9163aaf53a52a6c This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...

EUVD-2025-49449

Malicious code in robustpheasantz3n npm...

EUVD-2025-49448

Malicious code in robustzebraz3n npm...

EUVD-2025-45458

Malicious code in robustfishz3n npm...

Enhancing Adversarial Robustness of IoT Intrusion Detection Via SHAP-Based Attribution Fingerprinting

The rapid proliferation of Internet of Things IoT devices has transformed numerous industries by enabling seamless connectivity and data-driven automation. However, this expansion has also exposed IoT networks to increasingly sophisticated security threats, including adversarial attacks targeting...

CrossGuard: Safeguarding MLLMs against Joint-Modal Implicit Malicious Attacks

Multimodal Large Language Models MLLMs achieve strong reasoning and perception capabilities but are increasingly vulnerable to jailbreak attacks. While existing work focuses on explicit attacks, where malicious content resides in a single modality, recent studies reveal implicit attacks, in which...

Colliding with Adversaries at ECML-PKDD 2025 Adversarial Attack Competition 1st Prize Solution

This report presents the winning solution for Task 1 of Colliding with Adversaries: A Challenge on Robust Learning in High Energy Physics Discovery at ECML-PKDD 2025. The task required designing an adversarial attack against a provided classification model that maximizes misclassification while...

DeepTrust: Multi-Step Classification through Dissimilar Adversarial Representations for Robust Android Malware Detection

Over the last decade, machine learning has been extensively applied to identify malicious Android applications. However, such approaches remain vulnerable against adversarial examples, i.e., examples that are subtly manipulated to fool a machine learning model into making incorrect predictions...

SASER: Stego Attacks on Open-Source LLMs

Open-source large language models LLMs have demonstrated considerable dominance over proprietary LLMs in resolving neural processing tasks, thanks to the collaborative and sharing nature. Although full access to source codes, model parameters, and training data lays the groundwork for transparenc...

EUVD-2025-19819

Malicious code in bioql PyPI...

FakeSound2: a Benchmark for Explainable and Generalizable Deepfake Sound Detection

The rapid development of generative audio raises ethical and security concerns stemming from forged data, making deepfake sound detection an important safeguard against the malicious use of such technologies. Although prior studies have explored this task, existing methods largely focus on binary...

Fluid-Antenna-Aided AAV Secure Communications in Eavesdropper Uncertain Location

For autonomous aerial vehicle AAV secure communications, traditional designs based on fixed position antenna FPA lack sufficient spatial degrees of freedom DoF, which leaves the line-of-sight-dominated AAV links vulnerable to eavesdropping. To overcome this problem, this paper proposes a framewor...

jaeles

This is a powerful, flexible, and easily extensible framework written in Go for building your own Web Application Scanner. The framework is called Jaeles and is designed to be highly customizable. It has a modular architecture, allowing users to easily add or remove plugins to suit their needs. T...