EUVD-2005-4501

Malware in sbrugna...

EUVD-2005-4502

Malware in sbrugna...

EUVD-2005-1912

Malware in sbrugna...

EUVD-2025-3973

Malicious code in bioql PyPI...

EUVD-2024-30563

Malicious code in bioql PyPI...

exploitdb

This is an official repository of The Exploit Database, a project sponsored by Offensive Security. The repository contains a searchable archive of public exploits and corresponding vulnerable software, developed for use by penetration testers and vulnerability researchers. The Exploit Database is...

security-research

Security Research This project hosts security advisories and...

Agentic Discovery and Validation of Android App Vulnerabilities

Existing Android vulnerability detection tools overwhelm teams with thousands of low-signal warnings yet uncover few true positives. Analysts spend days triaging these results, creating a bottleneck in the security pipeline. Meanwhile, genuinely exploitable vulnerabilities often slip through,...

MAL-2025-7833 Malicious code in @dvpe/3dconcepts-ui (npm)

The package @dvpe/3dconcepts-ui was found to contain malicious code...

Bridging the Gap in Vision Language Models in Identifying Unsafe Concepts across Modalities

Whitepaper called Bridging The Gap In Vision Language Models In Identifying Unsafe Concepts Across Modalities...

Do Concept Replacement Techniques Really Erase Unacceptable Concepts?

Generative models, particularly diffusion-based text-to-image T2I models, have demonstrated astounding success. However, aligning them to avoid generating content with unacceptable concepts e.g., offensive or copyrighted content, or celebrity likenesses remains a significant challenge. Concept...

One Surrogate to Fool Them All: Universal, Transferable, and Targeted Adversarial Attacks with CLIP

Deep Neural Networks DNNs have achieved widespread success yet remain prone to adversarial attacks. Typically, such attacks either involve frequent queries to the target model or rely on surrogate models closely mirroring the target model -- often trained with subsets of the target model's traini...

Blind Spot Navigation: Evolutionary Discovery of Sensitive Semantic Concepts for LVLMs

Whitepaper called Blind Spot Navigation: Evolutionary Discovery Of Sensitive Semantic Concepts For LVLMs...

Silent Leaks: Implicit Knowledge Extraction Attack on RAG Systems through Benign Queries

Retrieval-Augmented Generation RAG systems enhance large language models LLMs by incorporating external knowledge bases, but they are vulnerable to privacy risks from data extraction attacks. Existing extraction methods typically rely on malicious inputs such as prompt injection or jailbreaking,...

DMind Benchmark: toward a Holistic Assessment of LLM Capabilities across the Web3 Domain

Large Language Models LLMs have achieved impressive performance in diverse natural language processing tasks, but specialized domains such as Web3 present new challenges and require more tailored evaluation. Despite the significant user base and capital flows in Web3, encompassing smart contracts...

CISA: Dams Sector Crisis Management Handbook

The Dams Sector Crisis Management Handbook 2025 introduces crisis management concepts, explains how crisis management measures are an important component of an overall risk management framework, and highlights guidelines to apply these concepts to dams and related infrastructure...

PatchFuzz: Patch Fuzzing for JavaScript Engines

Patch fuzzing is a technique aimed at identifying vulnerabilities that arise from newly patched code. While researchers have made efforts to apply patch fuzzing to testing JavaScript engines with considerable success, these efforts have been limited to using ordinary test cases or publicly...

Security Science (SecSci), Basic Concepts and Mathematical Foundations

This textbook compiles the lecture notes from security courses taught at Oxford in the 2000s, at Royal Holloway in the 2010s, and currently in Hawaii. The early chapters are suitable for a first course in security. The middle chapters have been used in advanced courses. Towards the end there are...

A Review on Privacy in DAG-Based DLTs

Directed Acyclic Graph DAG-based Distributed Ledger Technologies DLTs have emerged as a promising solution to the scalability issues inherent in traditional blockchains. However, amidst the focus on scalability, the crucial aspect of privacy within DAG-based DLTs has been largely overlooked. This...

Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts

Ensuring the ethical deployment of text-to-image models requires effective techniques to prevent the generation of harmful or inappropriate content. While concept erasure methods offer a promising solution, existing finetuning-based approaches suffer from notable limitations. Anchor-free methods...