You Are Not My Teammate: Behavioral Fingerprint-Based Detection of Suspicious Account Misuse

Online games have been continuously affected by cyber threats such as game bots and gold farming. Game bots, which are automated programs that play on behalf of human users, significantly accelerate character progression and reduce the engagement of legitimate players, potentially leading to user...

Generative AI for Encrypted Traffic Analysis: Synthetic Dataset Generation and Classifier Evaluation

Network traffic analysis faces significant challenges with encrypted communications, primarily due to limited visibility into packet contents and the inherent imbalance in available datasets, particularly for anomalous traffic patterns. This paper addresses these challenges by exploring Generativ...

monitor v0.36.0

BetterDB Monitor The monitoring layer that Valkey deserves. BetterDB persists what Valkey throws away - slowlogs, command patterns, client activity, anomaly signals - so you can debug what happened at 3am, not just what's happening now. Built for Valkey 8.x with native support for COMMANDLOG,...

monitor v0.35.0

BetterDB Monitor The monitoring layer that Valkey deserves. BetterDB persists what Valkey throws away - slowlogs, command patterns, client activity, anomaly signals - so you can debug what happened at 3am, not just what's happening now. Built for Valkey 8.x with native support for COMMANDLOG,...

Network Anomaly Detection in KATA

Introduction Once the attacker has breached the corporate network, subsequent stages of the attack often involve leveraging standard domain infrastructure protocols: using Kerberos, running DNS queries, accessing internal services, opening network shares, and other common networking actions...

monitor v0.31.0

BetterDB Monitor The monitoring layer that Valkey deserves. BetterDB persists what Valkey throws away - slowlogs, command patterns, client activity, anomaly signals - so you can debug what happened at 3am, not just what's happening now. Built for Valkey 8.x with native support for COMMANDLOG,...

Enhancing Attack Detection Capabilities in BACnet/IP Networks Using Machine-Learning Models

Building Automation Systems BAS manage critical building functions using protocols such as BACnet/IP, yet defenders have limited tooling and few labeled datasets for detecting BACnet-specific attacks. This work addresses these gaps through three contributions. First, CISA's Zeek BACnet parser is...

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection

Malicious anomalous activity detection is a fundamental challenge for cyber security systems. Both tensor decomposition under statistical framework with CANDECOMP-PARAFAC alternating Poisson regression CP-APR and normalizing flows have proven to be powerful unsupervised machine learning methods...

Federated Learning and LLM-Driven Threat Intelligence for Zero Trust IoT Architecture

While the Internet of Things IoT has become essential, they introduced serious security and privacy challenges, especially for mission-critical environments. Legacy devices are vulnerable to viruses, data breaches, and unauthorized access, and updating these devices would be infeasibly costly. As...

On the Impact of Entropy-Based Features

Network anomaly detection is increasingly challenging due to the growing diversity and variability of traffic patterns, which are not always well captured by traditional statistical features. In this work, we explore the use of entropy as an additional feature to support supervised network traffi...

AI in Cyberpsychology: A Systematic Literature Review of Cybersecurity Enhancement by Using AI for Analyzing Psychology of Victims, Attackers, and Defenders

Cybersecurity is the practice of protecting systems, networks, and data from digital attacks. Cyberpsychology CPSY is defined as the use of psychology to enhance cybersecurity applications. Since the early 2010s, the evolution of Artificial Intelligence AI has increasingly integrated with CPSY,...

GDM AI Control Roadmap

AI agents are rapidly accelerating work at frontier AI companies, helping with AI R&D, cyber-defence, and advancing scientific discoveries. As these agents become more tightly integrated into our systems, unlocking their full potential requires rethinking how we do security. We should not assume...

MSCENet: A Multi-Scale Correlation Enhanced Network for Anomaly Detection

In the field of multivariate time series anomaly detection, against the backdrop of increasing data complexity and complex dependencies across multiple temporal scales, traditional methods often struggle to simultaneously capture temporal dynamic features and intricate inter-series correlations. ...

Large Language Models (LLMs) and Generative AI in Cybersecurity and Privacy: A Survey of Dual-Use Risks, AI-Generated Malware, Explainability, and Defensive Strategies

Large Language Models LLMs and generative AI GenAI systems, such as ChatGPT, Claude, Gemini, LLaMA, Copilot, Stable Diffusion by OpenAI, Anthropic, Google, Meta, Microsoft, Stability AI, respectively, are revolutionizing cybersecurity, enabling both automated defense and sophisticated attacks...

Catan and Mouse

Welcome to this week's edition of the Threat Source newsletter. " I do not know everything; still many things I understand." ― Madeleine L'Engle, A Wrinkle in Time " Don't try to comprehend with your mind. Your minds are very limited. Use your intuition." ― Madeleine L'Engle, A Wind in the Door T...

CVE-2026-9272

CVE-2026-9272 affects Progress Flowmon ADS prior to 12.5.6 and 13.0.5. An adversary authenticated as a low-privileged ADS user can send specially crafted requests that lead to unauthorized access to and modification of application data. The CVE’s metrics indicate HIGH impact on confidentiality, i...

EUVD-2026-41374

In Progress Flowmon ADS versions prior to 12.5.6 and 13.0.5, a vulnerability exists whereby an adversary who is authenticated as a low-privileged user in the Anomaly Detection System ADS may send specially crafted requests that could result in unauthorized access to application data and its...

CVE-2026-9272 Possibility of unintended database operations when querying data related to detected anomalies in Progress Flowmon ADS

In Progress Flowmon ADS versions prior to 12.5.6 and 13.0.5, a vulnerability exists whereby an adversary who is authenticated as a low-privileged user in the Anomaly Detection System ADS may send specially crafted requests that could result in unauthorized access to application data and its...

CVE-2026-9272 Possibility of unintended database operations when querying data related to detected anomalies in Progress Flowmon ADS

In Progress Flowmon ADS versions prior to 12.5.6 and 13.0.5, a vulnerability exists whereby an adversary who is authenticated as a low-privileged user in the Anomaly Detection System ADS may send specially crafted requests that could result in unauthorized access to application data and its...

PT-2026-55260

Name of the Vulnerable Software and Affected Versions Flowmon ADS versions prior to 12.5.6 Flowmon ADS versions prior to 13.0.5 Description An authenticated low-privileged user in the Anomaly Detection System ADS can send specially crafted requests to gain unauthorized access to application data...