PT-2026-31999

Chamilo LMS is a learning management system. Prior to 1.11.38, there is a path traversal in main/exercise/savescores.php leading to arbitrary file feletion. User input from $ REQUEST'test' is concatenated directly into filesystem path without canonicalization or traversal checks. This vulnerabili...

PT-2026-32002

Name of the Vulnerable Software and Affected Versions Chamilo LMS versions prior to 2.0.0-RC.3 Description Chamilo LMS, a learning management system, contains a Reflected Cross-Site Scripting XSS issue in the exercise question list admin panel. The vulnerability occurs because the pagination code...

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...

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...

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

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...

Frappe Learning Management System security 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 prior to 2.46.0 contained security vulnerabilities. These vulnerabilities stemmed from reliance on client-side calculations for quiz...

CVE-2026-39415: Client-Side Enforcement of Server-Side Security

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...

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...

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...

auto-deep-learning (>=0.1.5.1, <=0.1.5.4), autogluon-multimodal (>=0.6.3b20230121, <=0.6.3b20230203) +50 more potentially affected by CVE-2026-1839 via transformers (4.25.1)

transformers PYPI version 4.25.1 is affected by a known vulnerability. The following packages have a transitive dependency on transformers and may be impacted: - auto-deep-learning =0.1.5.1, =0.6.3b20230121, =0.0.1, =0.0.1, =2.3.0, =0.1.3, =0.0.1rc5, =0.0.7, =0.0.1, =1.12.0rc1, =0.12.0, =0.12.1 -...

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...

PoC-Adapt: Semantic-Aware Automated Vulnerability Reproduction with LLM Multi-Agents and Reinforcement Learning-Driven Adaptive Policy

While recent approaches leverage large language models LLMs and multi-agent pipelines to automatically generate proof-of-concept PoC exploits from vulnerability reports, existing systems often suffer from two fundamental limitations: unreliable validation based on surface-level execution signals...