CVE-2026-30876 Chamilo LMS: User enumeration vulnerability via response

Chamilo LMS is a learning management system. Prior to version 1.11.36, Chamilo is vulnerable to user enumeration with valid/invalid username. This issue has been patched in version 1.11.36...

CVE-2026-28430 Chamilo LMS Vulnerable to Unauthenticated SQL Injection in chamiko-lms model.ajax.php

Chamilo LMS is a learning management system. Prior to version 1.11.34, there is an unauthenticated SQL injection vulnerability which allows remote attackers to execute arbitrary SQL commands via the customdates parameter. By chaining this with a predictable legacy password reset mechanism, an...

CVE-2026-28430 Chamilo LMS Vulnerable to Unauthenticated SQL Injection in chamiko-lms model.ajax.php

Chamilo LMS is a learning management system. Prior to version 1.11.34, there is an unauthenticated SQL injection vulnerability which allows remote attackers to execute arbitrary SQL commands via the customdates parameter. By chaining this with a predictable legacy password reset mechanism, an...

CVE-2026-28430 Chamilo LMS Vulnerable to Unauthenticated SQL Injection in chamiko-lms model.ajax.php

Chamilo LMS is a learning management system. Prior to version 1.11.34, there is an unauthenticated SQL injection vulnerability which allows remote attackers to execute arbitrary SQL commands via the customdates parameter. By chaining this with a predictable legacy password reset mechanism, an...

PISmith: Reinforcement Learning-Based Red Teaming for Prompt Injection Defenses

Prompt injection poses serious security risks to real-world LLM applications, particularly autonomous agents. Although many defenses have been proposed, their robustness against adaptive attacks remains insufficiently evaluated, potentially creating a false sense of security. In this work, we...

PT-2026-25807

Chamilo LMS is a learning management system. Chamilo LMS version 1.11.34 and prior contains a Reflected Cross-Site Scripting XSS vulnerability in the session category listing page. The keyword parameter from $ REQUEST is echoed directly into an HTML href attribute without any encoding or...

EUVD-2026-11798

Improper Neutralization of Special Elements used in an SQL Command 'SQL Injection' vulnerability in Ays Pro Fox LMS fox-lms allows Blind SQL Injection.This issue affects Fox LMS: from n/a through = 1.0.6.3...

CVE-2026-31922

Improper Neutralization of Special Elements used in an SQL Command 'SQL Injection' vulnerability in Ays Pro Fox LMS fox-lms allows Blind SQL Injection.This issue affects Fox LMS: from n/a through = 1.0.6.3...

CVE-2026-31922

CVE-2026-31922 affects the WordPress Fox LMS plugin (fox-lms) for versions up to 1.0.6.3. It is described as an SQL Injection vulnerability due to improper neutralization, specifically enabling Blind SQL Injection in Fox LMS. The connected documents confirm the affected product and vulnerability ...

RadEar: A Self-Supervised RF Backscatter System for Voice Eavesdropping and Separation

Eavesdropping on voice conversations presents a growing threat to personal privacy and information security. In this paper, we present RadEar, a novel RF backscatter-based system designed to enable covert voice eavesdropping through walls. RadEar consists of two key components: i a batteryless RF...

CVE-2026-3962

A vulnerability was identified in Jcharis Machine-Learning-Web-Apps up to a6996b634d98ccec4701ac8934016e8175b60eb5. The impacted element is the function rendertemplate of the file Machine-Learning-Web-Apps-master/Build-n-Deploy-Flask-App-with-Waypoint/app/app.py of the component Jinja2 Template...

CVE-2026-3962 Jcharis Machine-Learning-Web-Apps Jinja2 Template app.py render_template cross site scripting

A vulnerability was identified in Jcharis Machine-Learning-Web-Apps up to a6996b634d98ccec4701ac8934016e8175b60eb5. The impacted element is the function rendertemplate of the file Machine-Learning-Web-Apps-master/Build-n-Deploy-Flask-App-with-Waypoint/app/app.py of the component Jinja2 Template...

CVE-2026-3962

The CVE-2026-3962 entry affects Jcharis Machine-Learning-Web-Apps (up to a6996b634d98ccec4701ac8934016e8175b60eb5) where the render_template function in Machine-Learning-Web-Apps-master/Build-n-Deploy-Flask-App-with-Waypoint/app/app.py under the Jinja2 Template Handler is vulnerable to cross-site...

CVE-2026-3920

Out of bounds memory access in WebML in Google Chrome prior to 146.0.7680.71 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. Chromium security severity: High...

PT-2026-24891

A vulnerability was identified in Jcharis Machine-Learning-Web-Apps up to a6996b634d98ccec4701ac8934016e8175b60eb5. The impacted element is the function render template of the file Machine-Learning-Web-Apps-master/Build-n-Deploy-Flask-App-with-Waypoint/app/app.py of the component Jinja2 Template...

Incremental Federated Learning for Intrusion Detection in IoT Networks under Evolving Threat Landscape

The expansion of Internet of Things IoT devices has increased the attack surface of networks, necessitating a robust and adaptive intrusion detection systems. Machine learning based systems have been considered promising in enhancing the detection performance. Federated learning settings enabled ...

Adversarial Reinforcement Learning for Detecting False Data Injection Attacks in Vehicular Routing

In modern transportation networks, adversaries can manipulate routing algorithms using false data injection attacks, such as simulating heavy traffic with multiple devices running crowdsourced navigation applications, to mislead vehicles toward suboptimal routes and increase congestion. To addres...

Machine-Learning-Web-Apps 代码注入漏洞

Machine-Learning-Web-Apps is a machine learning web application development framework developed by JCharis Jesse. There is a code injection vulnerability in Machine-Learning-Web-Apps, which stems from an incorrect operation on the rendertemplate function in the Jinja2 Template Handler component o...

pentesting-notes

🔐 Pentesting Notes Personal penetration testing documentati...

ProvAgent: Threat Detection Based on Identity-Behavior Binding and Multi-Agent Collaborative Attack Investigation

Advanced Persistent Threats APTs pose critical challenges to modern cybersecurity due to their multi-stage and stealthy nature. While provenance-based detection approaches show promise in capturing causal attack semantics, current threat provenance practices face two paradoxical issues: 1 expert...