EUVD-2026-18462

Frappe Learning Management System LMS is a learning system that helps users structure their content. From version 2.27.0 to before version 2.48.0, Frappe LMS was vulnerable to stored XSS. This issue has been patched in version 2.48.0...

CVE-2026-34606

Frappe Learning Management System LMS is a learning system that helps users structure their content. From version 2.27.0 to before version 2.48.0, Frappe LMS was vulnerable to stored XSS. This issue has been patched in version 2.48.0...

CVE-2026-34606 Stored XSS in Frappe LMS

Frappe Learning Management System LMS is a learning system that helps users structure their content. From version 2.27.0 to before version 2.48.0, Frappe LMS was vulnerable to stored XSS. This issue has been patched in version 2.48.0...

CVE-2026-34606: Improper Neutralization of Input During Web Page Generation

Frappe Learning Management System LMS is a learning system that helps users structure their content. From version 2.27.0 to before version 2.48.0, Frappe LMS was vulnerable to stored XSS. This issue has been patched in version 2.48.0...

Frappe Learning Management System Cross-site Scripting Vulnerabilities

Frappe Learning Management System is an easy-to-use open-source learning management system developed by Frappe. Versions of the Frappe Learning Management System from 2.27.0 to 2.48.0 had a cross-site scripting vulnerability, which originated from a stored-cross-site scripting vulnerability...

PT-2026-29861

Name of the Vulnerable Software and Affected Versions Frappe Learning Management System LMS versions 2.27.0 through 2.47.9 Description Frappe Learning Management System LMS is a system designed to help users structure content. The software contains a stored Cross-Site Scripting XSS flaw, which...

CVE-2026-34445

Open Neural Network Exchange ONNX is an open standard for machine learning interoperability. Prior to version 1.21.0, the ExternalDataInfo class in ONNX was using Python’s setattr function to load metadata like file paths or data lengths directly from an ONNX model file. It didn’t check if the...

Asking AI for personal advice is a bad idea, Stanford study shows

Stanford computer scientists just proved what therapists already suspected: AI chatbots will agree with almost anything you say to keep you happy. The researchers caught these systems validating dangerous decisions just to maintain user engagement. That's a worrying development, especially given...

WordPress Masteriyo LMS plugin <= 2.1.6 - Missing Authorization to Authenticated (Student+) Privilege Escalation to Administrator vulnerability

Missing Authorization to Authenticated Student+ Privilege Escalation to Administrator vulnerability discovered by Hunter Jensen skid in WordPress Plugin Masteriyo - LMS versions = 2.1.6...

Label-Efficient Training Updates for Malware Detection over Time

Machine Learning ML-based detectors are becoming essential to counter the proliferation of malware. However, common ML algorithms are not designed to cope with the dynamic nature of real-world settings, where both legitimate and malicious software evolve. This distribution drift causes models...

CVE-2026-33879

Federated Learning and Interoperability Platform FLIP is an open-source platform for federated training and evaluation of medical imaging AI models across healthcare institutions. The FLIP login page in versions 0.1.1 and prior has no rate limiting or CAPTCHA, enabling brute-force and...

Secure Reinforcement Learning: On Model-Free Detection of Man in the Middle Attacks

We consider the problem of learning-based man-in-the-middle MITM attacks in cyber-physical systems CPS, and extend our previously proposed Bellman Deviation Detection BDD framework for model-free reinforcement learning RL. We refine the standard MDP attack model by allowing the reward function to...

Quantum Bit Error Rate Analysis in BB84 Quantum Key Distribution: Measurement, Statistical Estimation, and Eavesdropping Detection

Quantum Key Distribution QKD provides information-theoretic security by exploiting the principles of quantum mechanics. Among QKD protocols, the BB84 scheme remains the most widely adopted for both theoretical research and practical implementation. A critical parameter determining the reliability...

Context-Aware Phishing Email Detection Using Machine Learning and NLP

Phishing attacks remain among the most prevalent cybersecurity threats, causing significant financial losses for individuals and organizations worldwide. This paper presents a machine learning-based phishing email detection system that analyzes email body content using natural language processing...

CVE-2026-33879

Federated Learning and Interoperability Platform FLIP is an open-source platform for federated training and evaluation of medical imaging AI models across healthcare institutions. The FLIP login page in versions 0.1.1 and prior has no rate limiting or CAPTCHA, enabling brute-force and...

CVE-2026-33879

CVE-2026-33879 affects the Federated Learning and Interoperability Platform (FLIP). Technical details across sources show that FLIP versions prior to 0.1.1 expose the login page without rate limiting or CAPTCHA, enabling brute-force and credential-stuffing attacks. This affects external users and...

EUVD-2026-16818

Federated Learning and Interoperability Platform FLIP is an open-source platform for federated training and evaluation of medical imaging AI models across healthcare institutions. The FLIP login page in versions 0.1.1 and prior has no rate limiting or CAPTCHA, enabling brute-force and...

CVE-2026-33879 FLIP doesn't have rate limiting or brute-force protection on login

Federated Learning and Interoperability Platform FLIP is an open-source platform for federated training and evaluation of medical imaging AI models across healthcare institutions. The FLIP login page in versions 0.1.1 and prior has no rate limiting or CAPTCHA, enabling brute-force and...

CVE-2026-33879

Federated Learning and Interoperability Platform FLIP is an open-source platform for federated training and evaluation of medical imaging AI models across healthcare institutions. The FLIP login page in versions 0.1.1 and prior has no rate limiting or CAPTCHA, enabling brute-force and...

CVE-2026-33879: Improper Restriction of Excessive Authentication Attempts

Federated Learning and Interoperability Platform FLIP is an open-source platform for federated training and evaluation of medical imaging AI models across healthcare institutions. The FLIP login page in versions 0.1.1 and prior has no rate limiting or CAPTCHA, enabling brute-force and...