From Operating Model to Product: How We Built the ROC for Detection-Speed Remediation

In the first article in this series, we made the case for a prevention-led operating model. This article is about what happened next: the decision to build something that did not exist, and what it took to make it real. Turning an operating model into a product sounds straightforward until you ar...

Quarterly WordPress Threat Intelligence Report – Q1 2026

As the leader in WordPress security, Wordfence provides unparalleled security coverage that fully encompasses protection, active monitoring, detection, and response all built around our threat intelligence, demonstrating a strong commitment to security. Our mission is to ensure comprehensive...

Strawberry GraphQL has a Circular Fragment Reference DOS

Summary The QueryDepthLimiter extension is vulnerable to an Application-level DOS due to a lack of cycle detection in fragment spreads. When a query contains circular fragment references the determinedepth function enters an infinite recursion, leading to a RecursionError and crashing the...

Hypotheses, telemetry, and human judgment: Inside Cisco Talos Threat Hunting

By Ron Scott-Adams Most security tools operate on a simple principle: If a known-bad pattern appears, fire an alert. This works well enough for many threats, but it fails against adversaries who closely study detection thresholds and deliberately stay under them. Cisco Talos Threat Hunting operat...

TinyML-Driven Cybersecurity for Autonomous Spacecraft: Latency-Accuracy Analysis for SPARTA RF and Cyber Threat Detection

Autonomous spacecraft require rapid, lightweight, and reliable onboard detection of cyber-RF threats. Using the SPARTA attack model, we analyze the latency-accuracy trade-offs of TinyML-compatible classical models -- Random Forest, Logistic Regression, SVM, and MLP -- for detecting uplink jamming...

Next.js Concurrent Version Exposure / Vulnerability Audit Tool

This Python script is a lightweight defensive auditing utility designed to identify websites running Next.js and determine whether their detected version falls within predefined potentially vulnerable version ranges...

Trend Micro Apex One RCE

The vulnerability of the antivirus software Trend Micro Apex One’s virus detection mechanism is related to the improper handling of symbolic links before accessing a file. Exploiting this vulnerability can allow an attacker to enhance their privileges and execute arbitrary code...

Securing the Sandbox: A Rootless Containerized Framework for Process-Oriented Monitoring in Computer Graphics Education

Computer Science education fundamentally depends on intensive laboratory hours to foster true programming mastery and logical reasoning. However, the widespread adoption of Generative Artificial Intelligence AI has made it virtually impossible to distinguish authentic student effort from instant ...

Explainable AI-Driven Cyber Risk Analytics and Model Reliability Assessment for Intelligent Governance of U.S. Critical Infrastructure: An XGBoost and SHAP-Based Intrusion Detection Framework

The increasing penetrations of the critical infrastructure sector in the United States with intelligent digital technologies have greatly increased exposure to advanced cyber adversaries and operational vulnerabilities. AI-powered governance and automated decision-making systems are becoming a ke...

Steering LLM Viewpoints through Fabricated Evidence Injection

As chatbots increasingly influence daily decision-making, their potential to produce misleading responses poses substantial risks to users. This paper investigates a critical cognitive vulnerability in LLMs: their tendency to uncritically trust external context when presented with fabricated...

FOSSBilling security vulnerabilities

FOSSBilling is an open-source billing and customer management platform for hosting service providers and digital service providers. Versions of FOSSBilling prior to 0.8.0 contained security vulnerabilities. These vulnerabilities stemmed from the password reset confirmation endpoint being...

An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks

With the rapid proliferation of IoT devices, security concerns have dramatically escalated and intrusion detection systems have become critical for protecting networked environments. This paper presents an improved CNN-LSTM based intrusion detection model that combines multi-class classification,...

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks

Rule-based Intrusion Detection and Prevention Systems IDPS offer precise attack detection as well as mitigation, however their manually crafted, signature-driven rules limit adaptability to emerging and zero-day threats. Additionally, existing public datasets e.g., CICIDS2017, UNSW-NB15 focus on...

artificial-detection (0.1.0), benchformer (0.0.1.dev1) +1 more potentially affected by CVE-2026-5241 via transformers (4.12.3)

transformers PYPI version 4.12.3 is affected by a known vulnerability. The following packages have a transitive dependency on transformers and may be impacted: - artificial-detection 0.1.0 - benchformer 0.0.1.dev1 - tai-chi-engine =0.0.4, =0.0.6 Source cves: CVE-2026-5241 Source advisory:...

artificial-detection (0.1.0), benchformer (0.0.1.dev1) +1 more potentially affected by CVE-2026-5241 via transformers (4.12.3)

transformers PYPI version 4.12.3 is affected by a known vulnerability. The following packages have a transitive dependency on transformers and may be impacted: - artificial-detection 0.1.0 - benchformer 0.0.1.dev1 - tai-chi-engine =0.0.4, =0.0.6 Source cves: CVE-2026-5241 Source advisory:...

PT-2026-46105

Impact The METS-GBS backend's XML parsing and the input document format detection lacked security controls, enabling: - XML External Entity XXE attacks to read local files or cause denial of service - Decompression bombs zip bombs to exhaust memory and disk space - Unbounded archive extraction...

Linux Kernel FD-Race Monitoring

This C program is a defensive process-monitoring utility, not a privilege-escalation exploit. It continuously inspects /proc/pid/fd to detect suspicious activity related to excessive file descriptor usage, activity from sensitive SUID binaries, and potential file descriptor leakage or theft...

CLIF: Cross-Layer LEO-ISL Fingerprinting for Physical and Network Attack Detection in Dense LEO Constellations

Low-Earth Orbit LEO mega-constellations such as Starlink by SpaceX and Kuiper by Amazon rely on optical Inter-Satellite Links ISLs for autonomous mesh routing to provide low-latency telecommunication, Internet of Things IoT, and security services globally. As commercial operators and governments...

Revisiting Vul-RAG: Reproducibility and Replicability of RAG-Based Vulnerability Detection with Open-Weight Models

Large language models LLMs have shown strong potential for automated software vulnerability detection, particularly in retrieval-augmented generation RAG settings. However, for approaches relying on proprietary models and APIs, reproducibility and replicability remain largely unexplored, raising...

NLLog: Lightweight, Explainable SOC Anomaly Detection Via Log-To-Language Rewriting

System-generated logs underpin security monitoring, yet their rigid template-based format hinders both automated analysis and human comprehension. We present NLLog Natural-Language Log, a lightweight pipeline that deterministically rewrites parsed templates into WHO-WHAT-SEVERITY sentences, pools...