7233 matches found
EUVD-2022-26716
Malicious code in bioql PyPI...
EUVD-2025-21710
Malicious code in bioql PyPI...
EUVD-2025-25043
Malicious code in bioql PyPI...
EUVD-2024-47465
Malicious code in bioql PyPI...
EUVD-2023-54425
Malicious code in bioql PyPI...
EUVD-2023-26058
Malicious code in bioql PyPI...
Explainable but Vulnerable: Adversarial Attacks on XAI Explanation in Cybersecurity Applications
Explainable Artificial Intelligence XAI has aided machine learning ML researchers with the power of scrutinizing the decisions of the black-box models. XAI methods enable looking deep inside the models' behavior, eventually generating explanations along with a perceived trust and transparency...
Your Meta AI conversations may come back as ads in your feed
Meta has announced that conversations with its AI assistant will soon be used for targeted advertising. If you’re the kind of person that notices ads for products just after you spoke about them, you won't be happy about this update. Meta AI is the company’s generative AI assistant, built into...
pentest-automation-suite
Penetration Testing Automation Tools 🔴 Automated Penetratio...
Daniel Miessler on the AI Attack/Defense Balance
His conclusion: Context wins Basically whoever can see the most about the target, and can hold that picture in their mind the best, will be best at finding the vulnerabilities the fastest and taking advantage of them. Or, as the defender, applying patches or mitigations the fastest. And if you’re...
Wordfence Intelligence Weekly WordPress Vulnerability Report (September 22, 2025 to September 28, 2025)
Calling all Vulnerability Researchers and Bug Bounty Hunters! Operation: Maximum Impact Challenge ! Now through November 10, 2025, earn 2X bounty rewards forall in-scope submissions in software with at least 5,000 active installs and fewer than 5 million active installs. Bounties up to $31,200 pe...
AI Security 101: Mapping the AI Attack Surface
A practical guide to the risks, blind spots, and protections every security team needs to know...
Small Businesses and Ransomware: Navigating the AI Era Threat
Ransomware has evolved from a niche hacker tactic into a mainstream threat, and small businesses are increasingly in…...
Adaptive Deception Framework with Behavioral Analysis for Enhanced Cybersecurity Defense
This paper presents CADL Cognitive-Adaptive Deception Layer, an adaptive deception framework achieving 99.88% detection rate with 0.13% false positive rate on the CICIDS2017 dataset. The framework employs ensemble machine learning Random Forest, XGBoost, Neural Networks combined with behavioral...
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...
A Bootiful Podcast: Dr. Kris De Volder on developer tooling for Spring developers and AI
Hi, Spring fans! In this installment we talk to Spring tooling legend Dr. Kris De Volder on tooling, AI, and so much more...
CVE-2025-58055
Discourse is an open-source community discussion platform. In versions 3.5.0 and below, the Discourse AI suggestion endpoints for topic “Title”, “Category”, and “Tags” allowed authenticated users to extract information about topics that they weren’t authorized to access. By modifying the “topicid...
CVE-2025-58055 Discourse AI Suggestions Contain Insecure Direct Object Reference
Discourse is an open-source community discussion platform. In versions 3.5.0 and below, the Discourse AI suggestion endpoints for topic “Title”, “Category”, and “Tags” allowed authenticated users to extract information about topics that they weren’t authorized to access. By modifying the “topicid...
CVE-2025-58055 Discourse AI Suggestions Contain Insecure Direct Object Reference
Discourse is an open-source community discussion platform. In versions 3.5.0 and below, the Discourse AI suggestion endpoints for topic “Title”, “Category”, and “Tags” allowed authenticated users to extract information about topics that they weren’t authorized to access. By modifying the “topicid...