EUVD-2024-48347

Malicious code in bioql PyPI...

EUVD-2023-37205

Malicious code in bioql PyPI...

EUVD-2024-54083

Malicious code in bioql PyPI...

EUVD-2024-32511

Malicious code in bioql PyPI...

EUVD-2023-0256

Malicious code in bioql PyPI...

EUVD-2021-31364

Malicious code in bioql PyPI...

EUVD-2024-31639

Malicious code in bioql PyPI...

EUVD-2024-0168

Malicious code in bioql PyPI...

EUVD-2024-0170

Malicious code in bioql PyPI...

EUVD-2024-0089

Malicious code in bioql PyPI...

EUVD-2025-31429

Malicious code in bioql PyPI...

EUVD-2024-3100

Malicious code in bioql PyPI...

CVE-2025-9332

The Interactive Human Anatomy with Clickable Body Parts plugin for WordPress is vulnerable to Stored Cross-Site Scripting via admin settings in all versions up to, and including, 2.6 due to insufficient input sanitization and output escaping. This makes it possible for authenticated attackers, wi...

CVE-2025-9372 Ultimate Multi Design Video Carousel <= 1.4 - Authenticated (Editor+) Stored Cross-Site Scripting

The Ultimate Multi Design Video Carousel plugin for WordPress is vulnerable to Stored Cross-Site Scripting in all versions up to, and including, 1.4 due to insufficient input sanitization and output escaping. This makes it possible for authenticated attackers, with editor-level access, to inject...

CVE-2025-10053

CVE-2025-10053 concerns the WordPress plugin TableGen – Data Table Generator . The vulnerability is a stored XSS in admin settings due to insufficient input sanitization and output escaping, affecting all versions up to 1.3.1. Exploitation requires authenticated access with administrator-level pr...

NEXUS: Network Exploration for EXploiting Unsafe Sequences in Multi-Turn LLM Jailbreaks

Large Language Models LLMs have revolutionized natural language processing but remain vulnerable to jailbreak attacks, especially multi-turn jailbreaks that distribute malicious intent across benign exchanges and bypass alignment mechanisms. Existing approaches often explore the adversarial space...

LegalSim: Multi-Agent Simulation of Legal Systems for Discovering Procedural Exploits

We present LegalSim, a modular multi-agent simulation of adversarial legal proceedings that explores how AI systems can exploit procedural weaknesses in codified rules. Plaintiff and defendant agents choose from a constrained action space for example, discovery requests, motions, meet-and-confer,...

PT-2025-40494

The Interactive Human Anatomy with Clickable Body Parts plugin for WordPress is vulnerable to Stored Cross-Site Scripting via admin settings in all versions up to, and including, 2.6 due to insufficient input sanitization and output escaping. This makes it possible for authenticated attackers, wi...

A Cybersecurity AI Agent Selection and Decision Support Framework

This paper presents a novel, structured decision support framework that systematically aligns diverse artificial intelligence AI agent architectures, reactive, cognitive, hybrid, and learning, with the comprehensive National Institute of Standards and Technology NIST Cybersecurity Framework CSF...

MALF: A Multi-Agent LLM Framework for Intelligent Fuzzing of Industrial Control Protocols

Industrial control systems ICS are vital to modern infrastructure but increasingly vulnerable to cybersecurity threats, particularly through weaknesses in their communication protocols. This paper presents MALF Multi-Agent LLM Fuzzing Framework, an advanced fuzzing solution that integrates large...