Botnet Detection on CTU-13 Using Lightweight Machine Learning Models

Botnets are among the most persistent cyber threats, enabling large-scale attacks such as spam, credential theft, and distributed denial-of-service DDoS. While deep learning approaches have recently been applied to botnet detection, they are computationally intensive and often lack...

Explainable Machine Learning for Phishing Detection on Heterogeneous Datasets with MCP-Enabled Deployment

With the growth in digital transformation and Internet usage, the Social Engineering techniques such as Phishing have become a major concern for the users and the organizations. Phishing attacks involve deceptive techniques to trick users into revealing confidential information that causes...

Three Heads Are Better Than One: A Multi-Perspective Reasoning Framework for Enhanced Vulnerability Detection

Automated vulnerability detection is crucial for enhancing software security by identifying potential flaws that attackers could exploit, thereby reducing the reliance on labor-intensive manual code audits. Recent advancements have shifted towards leveraging large language models LLMs for...

Filter-Then-Verify: A Multiphase GNN and ModernBERT Framework for Social Engineering Detection in Email Networks

Social engineering attacks exploit human trust rather than software vulnerabilities, making them difficult to detect using conventional filters. We propose a two-stage filter-then-verify framework combining inductive Graph Neural Networks GNNs for structural anomaly detection with a co-attention...

CVE-2026-31237

The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization CWE-502 through its predict method. When a user provides a dataset file path to the predict method, the framework automatically determines the file format. If the file is a pickle .pkl file, it is loaded using...

On-Device Interpretable Tsetlin Machine-Based Intrusion Detection for Secure IoMT

The rapid evolution of digital health technologies is redefining healthcare services worldwide. The integration of wireless communication and Internet-enabled medical devices within Internet of Medical Things IoMT networks enables continuous, real-time patient monitoring. However, this increased...

FlowiseAI: Dataset create+update mass-assignment allows cross-workspace dataset takeover

Summary Type: Mass assignment via Object.assignentity, body - client-controlled workspaceId and on create, id overwritten on the Dataset entity - cross-workspace data takeover and IDOR. File: packages/server/src/services/dataset/index.ts Root cause: The Dataset controller/service constructs a new...

NPM: FlowiseAI: Dataset create+update mass-assignment allows cross-workspace dataset takeover

NPM: FlowiseAI: Dataset create+update mass-assignment allows cross-workspace dataset takeover vulnerability discovered by ? in WordPress Npm flowise versions = 3.1.1...

Improperly Controlled Modification of Dynamically-Determined Object Attributes

Overview flowise is a Flowiseai Server Affected versions of this package are vulnerable to Improperly Controlled Modification of Dynamically-Determined Object Attributes through improper handling of the Object.assign process in the dataset service. An attacker can gain unauthorized access to...

GHSA-5H9V-837X-M97R FlowiseAI: Dataset create+update mass-assignment allows cross-workspace dataset takeover

Summary Type: Mass assignment via Object.assignentity, body - client-controlled workspaceId and on create, id overwritten on the Dataset entity - cross-workspace data takeover and IDOR. File: packages/server/src/services/dataset/index.ts Root cause: The Dataset controller/service constructs a new...

[SECURITY] Fedora 42 Update: GitPython-3.1.50-1.fc42

GitPython is a python library used to interact with git repositories, high-level like git-porcelain, or low-level like git-plumbing. It provides abstractions of git objects for easy access of repository data, a nd additionally allows you to access the git repository more directly using eith er a...

PT-2026-41212

Name of the Vulnerable Software and Affected Versions Flowise versions prior to 3.1.2 Description A mass assignment issue exists in the dataset create and update processes. The application uses Object.assign to copy the request body into a Dataset entity without an explicit field allowlist,...

WARD: Adversarially Robust Defense of Web Agents against Prompt Injections

Web agents can autonomously complete online tasks by interacting with websites, but their exposure to open web environments makes them vulnerable to prompt injection attacks embedded in HTML content or visual interfaces. Existing guard models still suffer from limited generalization to unseen...

PT-2026-41213

Name of the Vulnerable Software and Affected Versions Flowise versions prior to 3.1.2 Description A mass assignment issue exists in the DatasetRow create and update processes. The application uses Object.assign to copy the request body into the DatasetRow entity without an explicit field allowlis...

Characterizing AI-Assisted Bot Traffic in Darknet Data: Implications for ICS and IIoT Security

The rise of automated scanning tools and AI assisted reconnaissance agents has significantly altered internet background traffic patterns, threatening the baseline assumptions underlying intrusion detection systems IDS deployed in critical infrastructure networks. This paper characterizes the...

VulTriage: Triple-Path Context Augmentation for LLM-Based Vulnerability Detection

Automated vulnerability detection is a fundamental task in software security, yet existing learning-based methods still struggle to capture the structural dependencies, domain-specific vulnerability knowledge, and complex program semantics required for accurate detection. Recent Large Language...

Still Camouflage, Moving Illusion: View-Induced Trajectory Manipulation in Autonomous Driving

Existing physical adversarial attacks on vision-based autonomous driving induce time-evolving perception errors, including biased object tracking or trajectory prediction, through i sophisticated physical patch inducing detection box drift when entering the view distance, or ii dynamically changi...

CVE-2026-31237

The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization CWE-502 through its predict method. When a user provides a dataset file path to the predict method, the framework automatically determines the file format. If the file is a pickle .pkl file, it is loaded using...

Enhancing Adversarial Robustness in Network Intrusion Detection: A Layer-Wise Adaptive Regularization Approach

The new wave of adversarial attacks that utilize gradient-related vulnerabilities in neural network-based classifiers makes Network Intrusion Detection Systems more open to such threats. Although state-of-the-art adversarial training methods have shown promising results in producing more robust...

The Art of the Jailbreak: Formulating Jailbreak Attacks for LLM Security beyond Binary Scoring

Jailbreak attacks -- adversarial prompts that bypass LLM alignment through purely linguistic manipulation -- pose a growing operational security threat, yet the field lacks large-scale, reproducible infrastructure for generating, categorizing, and evaluating them systematically. This paper...