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...

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...

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...

CVE-2026-33833 Azure Machine Learning Notebook Spoofing Vulnerability

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CVE-2026-33833

Azure Machine Learning is affected where the issue occurs in the downstream component’s output handling, described as an improper neutralization of special elements that enables network spoofing. The CVE-2026-33833 entry notes an attacker could exploit this via a network vector with no user inter...

CVE-2026-33833 Azure Machine Learning Notebook Spoofing Vulnerability

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Azure Machine Learning Notebook Spoofing Vulnerability

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...

Machine Learning Engineering Open Book 安全漏洞

Machine Learning Engineering Open Book is a collection of methodologies for training and fine-tuning large language models developed by Stas Bekman. There is a security vulnerability in Machine Learning Engineering Open Book. This vulnerability arises from the use of the torch-checkpoint-shrink.p...

Microsoft Azure Machine Learning 注入漏洞

Microsoft Azure Machine Learning is a machine learning service provided by Microsoft Corporation in the United States. There is an injection vulnerability present in Microsoft Azure Machine Learning. Attackers utilize this vulnerability to carry out phishing attacks...

PT-2026-40141

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...

FreeMOCA: Memory-Free Continual Learning for Malicious Code Analysis

As over 200 million new malware samples are identified each year, antivirus systems must continuously adapt to the evolving threat landscape. However, retraining solely on new samples leads to catastrophic forgetting and exploitable blind spots, while retraining on the entire dataset incurs...

Convolutional-Neural-Networks for Deanonymisation of I2P Traffic

This study investigates the potential for deanonymizing services within the Invisible Internet Project I2P network through passive traffic analysis and machine learning techniques. The primary objective is to identify distinctive patterns in I2P traffic despite the encryption of its payload. To...

KLA91034 Multiple vulnerabilities in Microsoft Azure

Multiple vulnerabilities were found in Microsoft Azure. Malicious users can exploit these vulnerabilities to spoof user interface, bypass security restrictions, gain privileges. Below is a complete list of vulnerabilities: 1. A spoofing vulnerability in Azure Machine Learning Notebook can be...

strix-advanced

⚡ Strix-Advanced AI-Powered Security Testing Platform An...

LLMs for Secure Hardware Design and Related Problems: Opportunities and Challenges

The integration of Large Language Models LLMs into Electronic Design Automation EDA and hardware security is rapidly reshaping the semiconductor industry. While LLMs offer unprecedented capabilities in generating Register Transfer Level RTL code, automating testbenches, and bridging the semantic...

MARGIN: Margin-Aware Regularized Geometry for Imbalanced Vulnerability Detection

Software vulnerability detection is critical for ensuring software security and reliability. Despite recent advances in deep learning, real-world vulnerability datasets suffer from two severe challenges: frequency imbalance and difficulty imbalance. We reinterpret these challenges from an embeddi...

CVE-2026-3007

Successful exploitation of the stored cross-site scripting XSS vulnerability could allow an attacker to execute arbitrary JavaScript on any user account that has access to Koollab LMS’ courselet feature...

UBUNTU-CVE-2022-50943

Moodle LMS 4.0 contains a cross-site scripting vulnerability that allows unauthenticated attackers to inject malicious scripts by submitting payloads through the search parameter. Attackers can inject JavaScript code via the search field in course/search.php to execute arbitrary scripts in users'...