CVE-2021-47907

Rocket LMS 1.1 contains a persistent cross-site scripting vulnerability in the support ticket module that allows authenticated users to inject malicious script code through the title parameter. Attackers can submit support tickets with embedded HTML/JavaScript payloads that execute in the browser...

PT-2026-39496

Rocket LMS 1.1 contains a persistent cross-site scripting vulnerability in the support ticket module that allows authenticated users to inject malicious script code through the title parameter. Attackers can submit support tickets with embedded HTML/JavaScript payloads that execute in the browser...

Operationalizing Cybersecurity Governance for Mitigation Planning with Attack-Path Modeling and Reinforcement Learning

We address a fundamental challenge in cybersecurity operations of translating governance frameworks into actionable mitigation decisions under realistic resource constraints. Frameworks such as the NIST Cybersecurity Framework CSF provide widely adopted measures of organizational maturity, but do...

Strategic Commitments Shape Collective Cybersecurity under AI Inequality

The growing integration of AI into cybersecurity is reshaping the balance between attackers and defenders. When access to advanced AI-enabled defence tools is uneven, resource-limited defenders may be unable to adopt effective protection, creating persistent system vulnerabilities. We study the...

CoreExploit-Final

CoreExploit 🔐 Ethical Penetration Testing Learning Platfor...

CVE-2026-32207

Improper neutralization of input during web page generation 'cross-site scripting' in Azure Machine Learning allows an unauthorized attacker to perform spoofing over a network...

EUVD-2026-28447

Improper neutralization of input during web page generation 'cross-site scripting' in Azure Machine Learning allows an unauthorized attacker to perform spoofing over a network...

From Conceptual Scaffold to Prototype: A Standardized Zonal Architecture for Wi-Fi Security Training

Wi-Fi is the dominant wireless access technology, but its widespread use also exposes systems to threats such as rogue access points, deauthentication attacks, and other IEEE 802.11-specific vulnerabilities. Although Cyber Ranges CRs have become valuable platforms for cybersecurity training and...

CVE-2026-32207

Improper neutralization of input during web page generation 'cross-site scripting' in Azure Machine Learning allows an unauthorized attacker to perform spoofing over a network...

CVE-2026-32207

CVE-2026-32207 concerns an XSS vulnerability in Azure Machine Learning Notebook/Notebook UI where improper neutralization of input during web page generation enables an unauthenticated attacker to spoof content over the network. Underlying cause: improper sanitization of user-controlled input in ...

CVE-2026-32207 Azure Machine Learning Notebook Spoofing Vulnerability

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CVE-2026-32207

Improper neutralization of input during web page generation 'cross-site scripting' in Azure Machine Learning allows an unauthorized attacker to perform spoofing over a network...

CVE-2026-32207 Azure Machine Learning Notebook Spoofing Vulnerability

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Azure Machine Learning Notebook Spoofing Vulnerability

Improper neutralization of input during web page generation 'cross-site scripting' in Azure Machine Learning allows an unauthorized attacker to perform spoofing over a network...

TUANDROMD-X: Advanced Entropy and Visual Analytics Dataset for Enhanced Malware Detection and Classification

Malware and malware-based attacks are becoming more prevalent and complex. Attackers regularly come up with new techniques that have the ability to evade conventional and signature-based malware defense. In order to address such threats, there is an increasing demand for advanced and better defen...

PT-2026-38576

Name of the Vulnerable Software and Affected Versions Azure Machine Learning affected versions not specified Description Improper neutralization of input during web page generation in Azure Machine Learning allows an unauthorized attacker to perform spoofing over a network. This issue is a form o...

Microsoft Azure Machine Learning 跨站脚本漏洞

Microsoft Azure Machine Learning is a machine learning service provided by Microsoft Corporation in the United States. Microsoft Azure Machine Learning has a cross-site scripting vulnerability, which stems from improper input during the web page generation process. This vulnerability could allow...

KLA91030 Multiple vulnerabilities in Microsoft Azure

Multiple vulnerabilities were found in Microsoft Azure. Malicious users can exploit these vulnerabilities to gain privileges, execute arbitrary code, bypass security restrictions, spoof user interface. Below is a complete list of vulnerabilities: 1. An elevation of privilege vulnerability in Azur...

AoI-Guided Client Selection for Robust and Timely Federated Intrusion Detection in Cloud-Edge Security Analytics

Federated learning FL is attractive for cloud-edge intrusion detection because it enables collaborative training over distributed telemetry without centralizing raw logs. In production security analytics pipelines, however, only a subset of clients participates in each round, and heterogeneous...

Fundamental Limitations of Post-Quantum Cryptographic Architectures

Modern lattice-based cryptography, particularly the learning with errors paradigm, relies on injecting artificial noise to secure data against quantum adversaries. This study systematically examines the theoretical and physical boundaries of this noise-reliant model across four interconnected...