PT-2026-26669

GMT is an open source collection of command-line tools for manipulating geographic and Cartesian data sets. In versions from 6.6.0 and prior, a stack-based buffer overflow vulnerability was identified in the gmt remote dataset id function within src/gmt remote.c. This issue occurs when a speciall...

Generic Mapping Tools 安全漏洞

The Generic Mapping Tools is an open-source set of geographic data mapping and processing tools. Versions of Generic Mapping Tools 6.6.0 and earlier contain security vulnerabilities. These vulnerabilities stem from the gmtremotedatasetid function, which handles specially crafted long strings and...

A Novel Solution for Zero-Day Attack Detection in IDS Using Self-Attention and Jensen-Shannon Divergence in WGAN-GP

The increasing sophistication of cyber threats, especially zero-day attacks, poses a significant challenge to cybersecurity. Zero-day attacks exploit unknown vulnerabilities, making them difficult to detect and defend against. Existing approaches patch flaws and deploy an Intrusion Detection Syst...

Cyber-Resilient Digital Twins: Discriminating Attacks for Safe Critical Infrastructure Control

Industrial Cyber-Physical Systems ICPS face growing threats from cyber-attacks that exploit sensor and control vulnerabilities. Digital Twin DT technology can detect anomalies via predictive modelling, but current methods cannot distinguish attack types and often rely on costly full-system...

Exploit for Uncontrolled Resource Consumption in Siemens 6Bk1602-0Aa12-0Tp0_Firmware

AetherGuard Security Test Dataset !License: MIThttps://im...

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 ...

Learning the APT Kill Chain: Temporal Reasoning over Provenance Data for Attack Stage Estimation

Advanced Persistent Threats APTs evolve through multiple stages, each exhibiting distinct temporal and structural behaviors. Accurate stage estimation is critical for enabling adaptive cyber defense. This paper presents StageFinder, a temporal graph learning framework for multi-stage attack...

Path Traversal via Unsanitized Version String in Versioned Dataset Loading

This report is not public...

CVE-2026-25887

Chartbrew is an open-source web application that can connect directly to databases and APIs and use the data to create charts. Prior to version 4.8.1, there is a remote code execution vulnerability via the MongoDB dataset Query. This issue has been patched in version 4.8.1...

Reality Check for Tor Website Fingerprinting in the Open World

Website fingerprinting WF attacks on Tor can infer user destinations from encrypted traffic metadata. However, their real-world effectiveness remains debated due to laboratory settings that fail to capture network fluctuations, evaluate noise, and create a representative open world. In this work,...

CVE-2026-25887

Chartbrew is an open-source web application that can connect directly to databases and APIs and use the data to create charts. Prior to version 4.8.1, there is a remote code execution vulnerability via the MongoDB dataset Query. This issue has been patched in version 4.8.1...

CVE-2026-25887 Chartbrew: Remote Code Execution (RCE) via MongoDB Dataset Query

Chartbrew is an open-source web application that can connect directly to databases and APIs and use the data to create charts. Prior to version 4.8.1, there is a remote code execution vulnerability via the MongoDB dataset Query. This issue has been patched in version 4.8.1...

CVE-2026-25887 Chartbrew: Remote Code Execution (RCE) via MongoDB Dataset Query

Chartbrew is an open-source web application that can connect directly to databases and APIs and use the data to create charts. Prior to version 4.8.1, there is a remote code execution vulnerability via the MongoDB dataset Query. This issue has been patched in version 4.8.1...

EUVD-2026-9976

Chartbrew is an open-source web application that can connect directly to databases and APIs and use the data to create charts. Prior to version 4.8.1, there is a remote code execution vulnerability via the MongoDB dataset Query. This issue has been patched in version 4.8.1...

CVE-2026-25887 Chartbrew: Remote Code Execution (RCE) via MongoDB Dataset Query

Chartbrew is an open-source web application that can connect directly to databases and APIs and use the data to create charts. Prior to version 4.8.1, there is a remote code execution vulnerability via the MongoDB dataset Query. This issue has been patched in version 4.8.1...

CVE-2026-25887

Chartbrew is affected prior to version 4.8.1 with a remote code execution vulnerability via the MongoDB dataset Query. The issue, classified as CVSS 3.1 Base Score 7.2 (HIGH), has been patched in version 4.8.1. Affected: Chartbrew

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...

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...

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...