CVE-2026-25372 WordPress Academy LMS plugin <= 3.5.3 - Broken Access Control vulnerability

Missing Authorization vulnerability in Kodezen LLC Academy LMS academy allows Exploiting Incorrectly Configured Access Control Security Levels.This issue affects Academy LMS: from n/a through = 3.5.3...

FormaLMS 安全漏洞

FormaLMS is an open-source learning management system developed by Forma.association. It is designed to meet specific needs related to corporate training. Versions of FormaLMS prior to 4.1.18 contained a security vulnerability. This vulnerability stemmed from the password recovery function, which...

PT-2026-20714

Missing Authorization vulnerability in Kodezen LLC Academy LMS academy allows Exploiting Incorrectly Configured Access Control Security Levels.This issue affects Academy LMS: from n/a through = 3.5.3...

Arc2Morph: Identity-Preserving Facial Morphing with Arc2Face

Face morphing attacks are widely recognized as one of the most challenging threats to face recognition systems used in electronic identity documents. These attacks exploit a critical vulnerability in passport enrollment procedures adopted by many countries, where the facial image is often acquire...

A Unified Evaluation of Learning-Based Similarity Techniques for Malware Detection

Cryptographic digests e.g., MD5, SHA-256 are designed to provide exact identity. Any single-bit change in the input produces a completely different hash, which is ideal for integrity verification but limits their usefulness in many real-world tasks like threat hunting, malware analysis and digita...

Collaborative Zone-Adaptive Zero-Day Intrusion Detection for IoBT

The Internet of Battlefield Things IoBT relies on heterogeneous, bandwidth-constrained, and intermittently connected tactical networks that face rapidly evolving cyber threats. In this setting, intrusion detection cannot depend on continuous central collection of raw traffic due to disrupted link...

Exploiting Layer-Specific Vulnerabilities to Backdoor Attack in Federated Learning

Federated learning FL enables distributed model training across edge devices while preserving data locality. This decentralized approach has emerged as a promising solution for collaborative learning on sensitive user data, effectively addressing the longstanding privacy concerns inherent in...

From SFT to RL: Demystifying the Post-Training Pipeline for LLM-Based Vulnerability Detection

The integration of LLMs into vulnerability detection VD has shifted the field toward interpretable and context-aware analysis. While post-training methods have shown promise in general coding tasks, their systematic application to VD remains underexplored. In this paper, we present the first...

Backdoor Attacks on Contrastive Continual Learning for IoT Systems

The Internet of Things IoT systems increasingly depend on continual learning to adapt to non-stationary environments. These environments can include factors such as sensor drift, changing user behavior, device aging, and adversarial dynamics. Contrastive continual learning CCL combines contrastiv...

CVE-2019-25320

E Learning Script 1.0 contains an authentication bypass vulnerability that allows attackers to access the dashboard without valid credentials by manipulating login parameters. Attackers can exploit the /login.php file by sending a specific payload '=''or' to bypass authentication and gain...

Exploit for Cross-site Scripting in Chamilo Chamilo_Lms

CVE-2023-4220 Arbitrary File Upload / RCE - PoC I created...

LoRA-Based Parameter-Efficient LLMs for Continuous Learning in Edge-Based Malware Detection

The proliferation of edge devices has created an urgent need for security solutions capable of detecting malware in real time while operating under strict computational and memory constraints. Recently, Large Language Models LLMs have demonstrated remarkable capabilities in recognizing complex...

Unknown Attack Detection in IoT Networks Using Large Language Models: A Robust, Data-Efficient Approach

The rapid evolution of cyberattacks continues to drive the emergence of unknown zero-day threats, posing significant challenges for network intrusion detection systems in Internet of Things IoT networks. Existing machine learning and deep learning approaches typically rely on large labeled...

An Empirical Study of the Imbalance Issue in Software Vulnerability Detection

Vulnerability detection is crucial to protect software security. Nowadays, deep learning DL is the most promising technique to automate this detection task, leveraging its superior ability to extract patterns and representations within extensive code volumes. Despite its promise, DL-based...

PT-2026-7920

E Learning Script 1.0 contains an authentication bypass vulnerability that allows attackers to access the dashboard without valid credentials by manipulating login parameters. Attackers can exploit the /login.php file by sending a specific payload '=''or' to bypass authentication and gain...

CVE-2026-26031

Frappe Learning Management System LMS is a learning system that helps users structure their content. Prior to 2.44.0, security issue was identified in Frappe Learning, where unauthorised users were able to access the full list of enrolled students by email in batches. This vulnerability is fixed ...

CVE-2026-26031

Frappe Learning Management System LMS is a learning system that helps users structure their content. Prior to 2.44.0, security issue was identified in Frappe Learning, where unauthorised users were able to access the full list of enrolled students by email in batches. This vulnerability is fixed ...

CVE-2026-26031 Frappe LMS affected by unauthorised user was able to access the full list of batch enrolled students

Frappe Learning Management System LMS is a learning system that helps users structure their content. Prior to 2.44.0, security issue was identified in Frappe Learning, where unauthorised users were able to access the full list of enrolled students by email in batches. This vulnerability is fixed ...

CVE-2026-26031

The CVE describes a privacy flaw in Frappe Learning Management System (LMS) prior to version 2.44.0, where unauthorised users could retrieve the full list of enrolled students (by email) in batches. Affected software is the Frappe LMS prior to 2.44.0; the root cause is not explicitly detailed in ...

PT-2026-7726

Name of the Vulnerable Software and Affected Versions Frappe Learning Management System versions prior to 2.44.0 Description A security issue was identified in Frappe Learning Management System where unauthorized users could access the full list of enrolled students, including their email...