4514 matches found
A Survey on Agentic Security: Applications, Threats and Defenses
The rapid shift from passive LLMs to autonomous LLM-agents marks a new paradigm in cybersecurity. While these agents can act as powerful tools for both offensive and defensive operations, the very agentic context introduces a new class of inherent security risks. In this work we present the first...
Leveraging Large Language Models for Cybersecurity Risk Assessment -- a Case from Forestry Cyber-Physical Systems
In safety-critical software systems, cybersecurity activities become essential, with risk assessment being one of the most critical. In many software teams, cybersecurity experts are either entirely absent or represented by only a small number of specialists. As a result, the workload for these...
Enhancing Automotive Security with a Hybrid Approach Towards Universal Intrusion Detection System
Security measures are essential in the automotive industry to detect intrusions in-vehicle networks. However, developing a one-size-fits-all Intrusion Detection System IDS is challenging because each vehicle has unique data profiles. This is due to the complex and dynamic nature of the data...
AI in the 2026 Midterm Elections
We are nearly one year out from the 2026 midterm elections, and it's far too early to predict the outcomes. But it's a safe bet that artificial intelligence technologies will once again be a major storyline. The widespread fear that AI would be used to manipulate the 2024 US election seems rather...
Imperceptible Jailbreaking against Large Language Models
Jailbreaking attacks on the vision modality typically rely on imperceptible adversarial perturbations, whereas attacks on the textual modality are generally assumed to require visible modifications e.g., non-semantic suffixes. In this paper, we introduce imperceptible jailbreaks that exploit a...
PT-2025-40898
Name of the Vulnerable Software and Affected Versions Optimod versions 1.0.0.33 and 2.5.26 Optimod 5950 Optimod 5950HD Optimod 5750 Optimod 5750HD Optimod Trio Description A stored cross-site scripting XSS issue exists in Optimod audio processors. This allows a remote attacker to execute arbitrar...
P2P: A Poison-To-Poison Remedy for Reliable Backdoor Defense in LLMs
During fine-tuning, large language models LLMs are increasingly vulnerable to data-poisoning backdoor attacks, which compromise their reliability and trustworthiness. However, existing defense strategies suffer from limited generalization: they only work on specific attack types or task settings...
EUVD-2025-32535
A stored cross-site scripting XSS vulnerability in Optimod 5950 - Optimod 5950HD - Optimod 5750 - Optimod 5750HD - Optimod Trio - Optimod version 1.0.0.33 - System version 2.5.26, allows remote attackers to execute arbitrary JavaScript in the web browser of a user, by including a malicious payloa...
Selecting Cybersecurity Requirements: Effects of LLM Use and Professional Software Development Experience
This study investigates how access to Large Language Models LLMs and varying levels of professional software development experience affect the prioritization of cybersecurity requirements for web applications. Twenty-three postgraduate students participated in a research study to prioritize...
Agentic Misalignment: How LLMs Could Be Insider Threats
We stress-tested 16 leading models from multiple developers in hypothetical corporate environments to identify potentially risky agentic behaviors before they cause real harm. In the scenarios, we allowed models to autonomously send emails and access sensitive information. They were assigned only...
EUVD-2021-32386
Malicious code in bioql PyPI...
EUVD-2025-24126
Malicious code in bioql PyPI...
EUVD-2024-52019
Malicious code in bioql PyPI...
EUVD-2022-30410
Malicious code in bioql PyPI...
EUVD-2021-32435
Malicious code in bioql PyPI...
EUVD-2025-5923
Malicious code in bioql PyPI...
EUVD-2025-14939
Malicious code in bioql PyPI...
EUVD-2021-32404
Malicious code in bioql PyPI...