CVE Search Engine - Security Vulnerabilities and Exploits Search Tool

show all

5080 matches found

Positive Technologies•added 2025/10/06 12:00 a.m.•12 views

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...

5.4CVSS5.9AI score0.00256EPSS

SaveExploits0References5

Packet Storm News•added 2025/10/06 12:00 a.m.•14 views

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...

6.7AI score

SaveExploits0

Packet Storm News•added 2025/10/06 12:00 a.m.•17 views

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...

7.4AI score

SaveExploits0

Packet Storm News•added 2025/10/05 12:00 a.m.•15 views

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...

6.8AI score

SaveExploits0

Packet Storm News•added 2025/10/05 12:00 a.m.•22 views

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...

7.2AI score

SaveExploits0