8849 matches found
From Detection to Response: A Deep Learning and Retrieval-Augmented Generation Framework for Network Intrusion Mitigation
Machine-learning-based Intrusion Detection Systems IDS have achieved impressive accuracy in classifying network attacks, yet they consistently fall short on the question that matters most to a security analyst: what should I do next? This paper presents a unified, end-to-end framework that closes...
Federated Naive Bayes with Real Mixture of Gaussians and Institutional Governance Regularization for Network Intrusion Detection
Federated learning for intrusion detection rests on a flawed premise: that every participating institution contributes equally to the shared model. In practice, a financial institution with mature security controls and low vulnerability exposure produces fundamentally different data than a...
Agent Security Is a Systems Problem
We take the position that agent security must be approached as a systems problem: the AI model powering the agent must be treated as an untrusted component, and security invariants must be enforced at the system level. Through this lens, efforts to increase model robustness the dominant viewpoint...
Advance_WAF_project_CS
WAFinity - Infinite Protection, Intelligent Detection WAFin...
Chromium: CVE-2026-8531 Heap buffer overflow in WebML
This CVE was assigned by Chrome. Microsoft Edge Chromium-based ingests Chromium, which addresses this vulnerability. Please see Google Chrome Releases for more information...
Filter-Then-Verify: A Multiphase GNN and ModernBERT Framework for Social Engineering Detection in Email Networks
Social engineering attacks exploit human trust rather than software vulnerabilities, making them difficult to detect using conventional filters. We propose a two-stage filter-then-verify framework combining inductive Graph Neural Networks GNNs for structural anomaly detection with a co-attention...
Integration of AI in Cybersecurity: Current Trends with a Focused Look at Intrusion Detection Applications
Artificial Intelligence AI is widely adopted today for its ability to detect patterns, automate tasks, and reduce time and cost across various applications. Its integration into Cybersecurity has garnered significant attention, particularly in areas such as intrusion detection, malware analysis,...
A Red Teaming Framework for Evaluating Robustness of AI-Enabled Security Orchestration, Automation, and Response Systems
AI-enabled Security Orchestration, Automation, and Response SOAR systems increasingly employ autonomous agents for cyber defense, yet their resilience to adaptive adversaries is underexplored. We introduce an autonomous red teaming framework that integrates large language models LLMs with...
Azure Machine Learning Spoofing
The vulnerability of the software for working with Azure Machine Learning algorithms is related to the lack of measures taken to neutralize special elements in the output data. Exploiting this vulnerability allows a remote attacker to perform spearishing attacks...
CVE-2026-7648
The LearnPress – WordPress LMS Plugin for Create and Sell Online Courses plugin for WordPress is vulnerable to payment bypass through user-controlled key in all versions up to, and including, 4.3.5. This is due to improper handling of user-supplied request parameters in the REST API endpoint, whi...
Personal AI Infrastructure 5.0.0
PAI is a Personalized AI Platform designed to magnify your capabilities. It's designed for humans most of all, but can be used by teams, companies, or Federations of Planets desiring to be better versions of themselves. The goal of the project is to get people working with AI and lower the bar...
CVE-2026-33833
Improper neutralization of special elements in output used by a downstream component 'injection' in Azure Machine Learning allows an unauthorized attacker to perform spoofing over a network...
H2O REST API Code Execution
The vulnerability of the REST API interface of the H2O machine learning platform is related to deficiencies in the deserialization mechanism. Exploiting this vulnerability allows a remote attacker to execute arbitrary code...
H2O Machine Learning Platform Deserialization
The vulnerability of the H2O machine learning platform is related to deficiencies in the deserialization mechanism. Exploiting this vulnerability allows a remote attacker to circumvent security restrictions, disclose sensitive information, and execute arbitrary code...
EUVD-2026-29580
Improper neutralization of special elements in output used by a downstream component 'injection' in Azure Machine Learning allows an unauthorized attacker to perform spoofing over a network...
deep-learning-plus (>=0.0.5, <=0.0.7), torchfl (>=0.1.1, <=0.1.5) potentially affected by CVE-2026-31221 via pytorch-lightning (1.5.7)
pytorch-lightning PYPI version 1.5.7 is affected by a known vulnerability. The following packages have a transitive dependency on pytorch-lightning and may be impacted: - deep-learning-plus =0.0.5, =0.1.1, =0.1.5 Source cves: CVE-2026-31221 Source advisory: OSV:GHSA-75M9-98V2-HJPM...
classy-core (>=0.2.1.dev20220303, <=0.2.1), open-metric-learning (>=0.3.0, <=0.3.6) potentially affected by CVE-2026-31221 via pytorch-lightning (1.5.9)
pytorch-lightning PYPI version 1.5.9 is affected by a known vulnerability. The following packages have a transitive dependency on pytorch-lightning and may be impacted: - classy-core =0.2.1.dev20220303, =0.3.0, =0.3.6 Source cves: CVE-2026-31221 Source advisory: OSV:GHSA-75M9-98V2-HJPM...
chatmof (>=0.2.0, <=0.2.2), finetuning-scheduler (0.2.0) +2 more potentially affected by CVE-2026-31221 via pytorch-lightning (1.7.0)
pytorch-lightning PYPI version 1.7.0 is affected by a known vulnerability. The following packages have a transitive dependency on pytorch-lightning and may be impacted: - chatmof =0.2.0, =1.1.2, =0.3.7, =0.3.11 Source cves: CVE-2026-31221 Source advisory: OSV:GHSA-75M9-98V2-HJPM...
