PT-2026-32023

Chamilo LMS is a learning management system. Prior to 1.11.38, the get user info from username REST API endpoint returns personal information email, first name, last name, user ID, active status of any user to any authenticated user, including students. There is no authorization check. This...

Chamilo LMS 安全漏洞

Chamilo LMS is an open-source online learning and collaboration system developed by Chamilo. This system supports the creation of teaching content, remote training, and online quizzes. Prior to version 1.11.38, Chamilo LMS had a security vulnerability. This vulnerability stemmed from the REST API...

CVE-2026-5194

A flaw was found in wolfSSL. Missing hash/digest size and Object Identifier OID checks allow the acceptance of smaller, less secure digests during the verification of Elliptic Curve Digital Signature Algorithm ECDSA certificates. This could enable a remote attacker, with knowledge of the public...

CVE-2026-33780 Junos OS and Junos OS Evolved: In an EVPN-MPLS scenario churn of ESI routes causes a memory leak in l2ald

A Missing Release of Memory after Effective Lifetime vulnerability in the Layer 2 Address Learning Daemon l2ald of Juniper Networks Junos OS and Junos OS Evolved allows an adjacent, unauthenticated attacker to cause a memory leak ultimately leading to a Denial of Service DoS. In an EVPN-MPLS...

CVE-2026-5194

Missing hash/digest size and OID checks allow digests smaller than allowed when verifying ECDSA certificates, or smaller than is appropriate for the relevant key type, to be accepted by signature verification functions. This could lead to reduced security of ECDSA certificate-based authentication...

The agentic SOC—Rethinking SecOps for the next decade

Every major shift in cyberattacker behavior over the past decade has followed a meaningful shift in how defenders operate. When security operation centers SOCs deployed endpoint detection and response EDR—and later extended detection and response XDR—security teams raised the bar, pushing...

Tracing the Chain: Deep Learning for Stepping-Stone Intrusion Detection

Stepping-stone intrusions SSIs are a prevalent network evasion technique in which attackers route sessions through chains of compromised intermediate hosts to obscure their origin. Effective SSI detection requires correlating the incoming and outgoing flows at each relay host at extremely low fal...

CVE-2026-39415

Frappe Learning Management System LMS is a learning system that helps users structure their content. Prior to 2.46.0, a vulnerability has been identified in Frappe Learning where quiz scores can be modified by students before submission. The application currently relies on client-side calculated...

EUVD-2026-20603

Frappe Learning Management System LMS is a learning system that helps users structure their content. Prior to 2.46.0, a vulnerability has been identified in Frappe Learning where quiz scores can be modified by students before submission. The application currently relies on client-side calculated...

CVE-2026-39415 Frappe Learning Management System has Client-Side Manipulation of Quiz Scores

Frappe Learning Management System LMS is a learning system that helps users structure their content. Prior to 2.46.0, a vulnerability has been identified in Frappe Learning where quiz scores can be modified by students before submission. The application currently relies on client-side calculated...

CVE-2026-39415 Frappe Learning Management System has Client-Side Manipulation of Quiz Scores

Frappe Learning Management System LMS is a learning system that helps users structure their content. Prior to 2.46.0, a vulnerability has been identified in Frappe Learning where quiz scores can be modified by students before submission. The application currently relies on client-side calculated...

CVE-2026-39415

CVE-2026-39415 affects Frappe LMS prior to 2.46.0, where quiz scores could be altered client-side before submission due to reliance on client-side calculated scores. Impact: data integrity of quiz results is compromised; no confidentiality breach or privilege escalation reported. Remediation: upg...

WordPress Masteriyo - LMS plugin <= 2.1.5 - Payment Bypass vulnerability

WordPress Masteriyo - LMS plugin = 2.1.5 - Payment Bypass vulnerability discovered by davidfdzmorilla in WordPress Plugin Masteriyo - LMS versions = 2.1.5...

PT-2026-31439

Frappe Learning Management System LMS is a learning system that helps users structure their content. Prior to 2.46.0, a vulnerability has been identified in Frappe Learning where quiz scores can be modified by students before submission. The application currently relies on client-side calculated...

Frappe Learning Management System 安全漏洞

Frappe Learning Management System is an easy-to-use open-source learning management system developed by Frappe. Versions of the Frappe Learning Management System prior to 2.46.0 contained security vulnerabilities. These vulnerabilities stemmed from reliance on client-side calculations for quiz...

zantetsu-trainer is unmaintained

The zantetsu-trainer crate is no longer maintained. The ML training infrastructure it contained was removed as part of the zantetsu 0.2 release, which replaced the neural parser with a pure heuristic engine. A tombstone version 0.2.0 has been published and 0.1.4 has been yanked. There is no...

From Incomplete Architecture to Quantified Risk: Multimodal LLM-Driven Security Assessment for Cyber-Physical Systems

Cyber-physical systems often contend with incomplete architectural documentation or outdated information resulting from legacy technologies, knowledge management gaps, and the complexity of integrating diverse subsystems over extended operational lifecycles. This architectural incompleteness...

chromium -- security fixes

Chrome Releases reports: This update includes multiple security fixes: Critical: CVE-2026-5858: Heap buffer overflow in WebML. CVE-2026-5859: Integer overflow in WebML. High: CVE-2026-5860: Use after free in WebRTC. CVE-2026-5861: Use after free in V8. CVE-2026-5862: Inappropriate implementation ...

MA-IDS: Multi-Agent RAG Framework for IoT Network Intrusion Detection with an Experience Library

Network Intrusion Detection Systems NIDS face important limitations. Signature-based methods are effective for known attack patterns, but they struggle to detect zero-day attacks and often miss modified variants of previously known attacks, while many machine learning approaches offer limited...

Towards Resilient Intrusion Detection in CubeSats: Challenges, TinyML Solutions, and Future Directions

CubeSats have revolutionized access to space by providing affordable and accessible platforms for research and education. However, their reliance on Commercial Off-The-Shelf COTS components and open-source software has introduced significant cybersecurity vulnerabilities. Ensuring the cybersecuri...