CVE-2025-7105 Denial of Service via JavaScript Memory Overflow in danny-avila/librechat

A vulnerability in danny-avila/librechat allows attackers to exploit the unrestricted Fork Function in /api/convos/fork to fork numerous contents rapidly. If the forked content includes a Mermaid graph with a large number of nodes, it can lead to a JavaScript heap out of memory error upon service...

EUVD-2025-206617

A vulnerability in danny-avila/librechat allows attackers to exploit the unrestricted Fork Function in /api/convos/fork to fork numerous contents rapidly. If the forked content includes a Mermaid graph with a large number of nodes, it can lead to a JavaScript heap out of memory error upon service...

CVE-2025-7105

A vulnerability in danny-avila/librechat allows attackers to exploit the unrestricted Fork Function in /api/convos/fork to fork numerous contents rapidly. If the forked content includes a Mermaid graph with a large number of nodes, it can lead to a JavaScript heap out of memory error upon service...

CVE-2025-7105

The CVE-2025-7105 entry concerns danny-avila/librechat where an unrestricted Fork Function at /api/convos/fork allows rapid forking of content. If a forked item contains a Mermaid graph with many nodes, a JavaScript heap out of memory error can occur on service restart, causing a Denial of Servic...

PT-2026-5653

Name of the Vulnerable Software and Affected Versions librechat affected versions not specified Description A flaw exists in danny-avila/librechat that allows attackers to exploit the unrestricted Fork Function. The vulnerable function is located at the /api/convos/fork endpoint. By rapidly forki...

WordPress plugin DASHBOARD BUILDER – WordPress plugin for Charts and Graphs 跨站请求伪造漏洞

WordPress and WordPress plugin are both products of the WordPress Foundation.WordPress is a blogging platform developed using the PHP language. The platform has the ability to host personal blog sites on PHP and MySQL based servers.WordPress plugin is an application plugin. WordPress plugin...

Operational Runtime Behavior Mining for Open-Source Supply Chain Security

Open-source software OSS is a critical component of modern software systems, yet supply chain security remains challenging in practice due to unavailable or obfuscated source code. Consequently, security teams often rely on runtime observations collected from sandboxed executions to investigate...

Cybersecurity AI: A Game-Theoretic AI for Guiding Attack and Defense

AI-driven penetration testing now executes thousands of actions per hour but still lacks the strategic intuition humans apply in competitive security. To build cybersecurity superintelligence --Cybersecurity AI exceeding best human capability-such strategic intuition must be embedded into agentic...

[SECURITY] Fedora 42 Update: duc-1.4.6-1.fc42

Duc is a collection of tools for indexing, inspecting and visualizing disk usage. Duc maintains a database of accumulated sizes of directories of the file system, and allows you to query this database with some tools, or create fancy graphs showing you where your bytes are...

SCyTAG: Scalable Cyber-Twin for Threat-Assessment Based on Attack Graphs

Understanding the risks associated with an enterprise environment is the first step toward improving its security. Organizations employ various methods to assess and prioritize the risks identified in cyber threat intelligence CTI reports that may be relevant to their operations. Some methodologi...

Better Call Graphs: A New Dataset of Function Call Graphs for Malware Classification

Function call graphs FCGs have emerged as a powerful abstraction for malware detection, capturing the behavioral structure of applications beyond surface-level signatures. Their utility in traditional program analysis has been well established, enabling effective classification and analysis of...

IoT-Based Android Malware Detection Using Graph Neural Network with Adversarial Defense

Since the Internet of Things IoT is widely adopted using Android applications, detecting malicious Android apps is essential. In recent years, Android graph-based deep learning research has proposed many approaches to extract relationships from applications as graphs to generate graph embeddings...

PROVEX: Enhancing SOC Analyst Trust with Explainable Provenance-Based IDS

Modern intrusion detection systems IDS leverage graph neural networks GNNs to detect malicious activity in system provenance data, but their decisions often remain a black box to analysts. This paper presents a comprehensive XAI framework designed to bridge the trust gap in Security Operations...

CVE-2025-14618

The Sweet Energy Efficiency plugin for WordPress is vulnerable to unauthorized access, modification, and loss of data due to a missing capability check on the 'sweetenergyefficiencyaction' AJAX handler in all versions up to, and including, 1.0.6. This makes it possible for authenticated attackers...

EUVD-2025-204264

The Sweet Energy Efficiency plugin for WordPress is vulnerable to unauthorized access, modification, and loss of data due to a missing capability check on the 'sweetenergyefficiencyaction' AJAX handler in all versions up to, and including, 1.0.6. This makes it possible for authenticated attackers...

CVE-2025-14618 Sweet Energy Efficiency <= 1.0.6 - Missing Authorization to Authenticated (Subscriber+) Arbitrary Graph Deletion

The Sweet Energy Efficiency plugin for WordPress is vulnerable to unauthorized access, modification, and loss of data due to a missing capability check on the 'sweetenergyefficiencyaction' AJAX handler in all versions up to, and including, 1.0.6. This makes it possible for authenticated attackers...

ScamSweeper: Detecting Illegal Accounts in Web3 Scams Via Transactions Analysis

The web3 applications have recently been growing, especially on the Ethereum platform, starting to become the target of scammers. The web3 scams, imitating the services provided by legitimate platforms, mimic regular activity to deceive users. However, previous studies have primarily concentrated...

A Research and Development Portfolio of GNN Centric Malware Detection, Explainability, and Dataset Curation

Graph Neural Networks GNNs have become an effective tool for malware detection by capturing program execution through graph-structured representations. However, important challenges remain regarding scalability, interpretability, and the availability of reliable datasets. This paper brings togeth...

EUVD-2025-198374

IBM webMethods Integration 10.11 through 10.11CoreFix22, 10.15 through 10.15CoreFix22, and 11.1 through 11.1CoreFix6 IBM webMethods Integration allow an authenticated user to execute arbitrary code on the system, caused by the deserialization of untrusted object graphs data...

AutoGraphAD: A Novel Approach Using Variational Graph Autoencoders for Anomalous Network Flow Detection

Network Intrusion Detection Systems NIDS are essential tools for detecting network attacks and intrusions. While extensive research has explored the use of supervised Machine Learning for attack detection and characterisation, these methods require accurately labelled datasets, which are very...