PT-2026-23636

Name of the Vulnerable Software and Affected Versions Chartbrew versions prior to 4.8.1 Description Chartbrew is a web application that connects to databases and APIs to create charts. Versions of the software prior to 4.8.1 contain a remote code execution issue stemming from the MongoDB dataset...

Before You Hand over the Wheel: Evaluating LLMs for Security Incident Analysis

Security incident analysis SIA poses a major challenge for security operations centers, which must manage overwhelming alert volumes, large and diverse data sources, complex toolchains, and limited analyst expertise. These difficulties intensify because incidents evolve dynamically and require...

chartbrew 代码注入漏洞

Chartbrew is an open-source data visualization and dashboard building tool developed by Chartbrew. Versions of Chartbrew prior to 4.8.1 contained a code injection vulnerability, which was caused by remote code execution vulnerabilities in MongoDB dataset queries...

SecureRAG-RTL: A Retrieval-Augmented, Multi-Agent, Zero-Shot LLM-Driven Framework for Hardware Vulnerability Detection

Large language models LLMs have shown remarkable capabilities in natural language processing tasks, yet their application in hardware security verification remains limited due to scarcity of publicly available hardware description language HDL datasets. This knowledge gap constrains LLM performan...

Integer Overflow Bypasses Memory Safety Checks in H5 Dataset Loading

This report is not public...

DKD-KAN: A Lightweight Knowledge-Distilled KAN Intrusion Detection Framework, Based on MLP and KAN

Cyber-security systems often operate in resource-constrained environments, such as edge environments and real-time monitoring systems, where model size and inference time are crucial. A light-weight intrusion detection framework is proposed that utilizes the Kolmogorov-Arnold Network KAN to captu...

Gravity Falls: A Comparative Analysis of Domain-Generation Algorithm (DGA) Detection Methods for Mobile Device Spearphishing

Mobile devices are frequent targets of eCrime threat actors through SMS spearphishing smishing links that leverage Domain Generation Algorithms DGA to rotate hostile infrastructure. Despite this, DGA research and evaluation largely emphasize malware C2 and email phishing datasets, leaving limited...

Multi-Agent Honeypot-Based Request-Response Context Dataset for Improved SQL Injection Detection Performance

SQL injection remains a major threat to web applications, as existing defenses often fail against obfuscation and evolving attacks because of neglecting the request-response context. This paper presents a context-enriched SQL injection detection framework, focusing on constructing a high-quality...

Internet Malware Propagation: Dynamics and Control through SEIRV Epidemic Model with Relapse and Intervention

Malware attacks in today's vast digital ecosystem pose a serious threat. Understanding malware propagation dynamics and designing effective control strategies are therefore essential. In this work, we propose a generic SEIRV model formulated using ordinary differential equations to study malware...

How the Graph Construction Technique Shapes Performance in IoT Botnet Detection

The increasing incidence of IoT-based botnet attacks has driven interest in advanced learning models for detection. Recent efforts have focused on leveraging attention mechanisms to model long-range feature dependencies and Graph Neural Networks GNNs to capture relationships between data instance...

Quantifying Catastrophic Forgetting in IoT Intrusion Detection Systems

Distribution shifts in attack patterns within RPL-based IoT networks pose a critical threat to the reliability and security of large-scale connected systems. Intrusion Detection Systems IDS trained on static datasets often fail to generalize to unseen threats and suffer from catastrophic forgetti...

BIT-SUPERSET-2026-23982 Apache Superset: Improper Authorization in Dataset Creation Allows Access Control Bypass

An Improper Authorization vulnerability exists in Apache Superset that allows a low-privileged user to bypass data access controls. When creating a dataset, Superset enforces permission checks to prevent users from querying unauthorized data. However, an authenticated attacker with permissions to...

CVE-2026-23982

An Improper Authorization vulnerability exists in Apache Superset that allows a low-privileged user to bypass data access controls. When creating a dataset, Superset enforces permission checks to prevent users from querying unauthorized data. However, an authenticated attacker with permissions to...

GHSA-3M2G-V7JF-7FXC Apache Superset Improper Authorization allows low-privileged users to bypass access controls

An Improper Authorization vulnerability exists in Apache Superset that allows a low-privileged user to bypass data access controls. When creating a dataset, Superset enforces permission checks to prevent users from querying unauthorized data. However, an authenticated attacker with permissions to...

Apache Superset Improper Authorization allows low-privileged users to bypass access controls

An Improper Authorization vulnerability exists in Apache Superset that allows a low-privileged user to bypass data access controls. When creating a dataset, Superset enforces permission checks to prevent users from querying unauthorized data. However, an authenticated attacker with permissions to...

Incorrect Authorization

Overview apache-superset is a modern, enterprise-ready business intelligence web application. Affected versions of this package are vulnerable to Incorrect Authorization during the dataset creation process. An attacker can gain unauthorized access to restricted data by overwriting the SQL query o...

CVE-2026-23982

An Improper Authorization vulnerability exists in Apache Superset that allows a low-privileged user to bypass data access controls. When creating a dataset, Superset enforces permission checks to prevent users from querying unauthorized data. However, an authenticated attacker with permissions to...

CVE-2026-23982

An Improper Authorization vulnerability exists in Apache Superset that allows a low-privileged user to bypass data access controls. When creating a dataset, Superset enforces permission checks to prevent users from querying unauthorized data. However, an authenticated attacker with permissions to...

EUVD-2026-8476

An Improper Authorization vulnerability exists in Apache Superset that allows a low-privileged user to bypass data access controls. When creating a dataset, Superset enforces permission checks to prevent users from querying unauthorized data. However, an authenticated attacker with permissions to...

CVE-2026-23982 Apache Superset: Improper Authorization in Dataset Creation Allows Access Control Bypass

An Improper Authorization vulnerability exists in Apache Superset that allows a low-privileged user to bypass data access controls. When creating a dataset, Superset enforces permission checks to prevent users from querying unauthorized data. However, an authenticated attacker with permissions to...