50 matches found
spamscanner
A spam filter for Node.js, the command line and mail servers. It catches spam, phishing, scams and malware in any language, explains every decision, and can ask a language model about close calls. spamscanner.net · Getting started · Documentation Features A classifier that reads every language...
revera
Revera The credit score for npm packages. Revera helps you decide whether a package is worth installing before you run npm install. It analyzes package quality, maintenance, security, ecosystem health, and publisher trust — and now propagates risk transitively across your entire dependency graph ...
From Reconnaissance to Response: Quantitative Risk Parameterization and Game Theoretic Containment in Modern Enterprise Attack
Modern Security Operations Centers struggle with delayed manual incident response, enabling adversaries to advance through the Cyber Kill Chain during early stage reconnaissance. While classical game theoretic defense models optimize strategic resource allocation, they rely on static utility...
An Operational Leakage Metric for Eavesdropping in Joint Sensing and Communications Systems
In upcoming integrated sensing and communications ISAC systems, security depends on whether an eavesdropper Eve can recover data symbols or infer sensing information from a common observation with a legitimate receiver. However, existing information and estimation measures do not quantify this du...
A Bayesian Correlated Equilibrium for Early Insider-Threat Detection
We model insider threat detection as a dynamic Bayesian game in which a platform coordinates a committee of strategic certifiers to sustain equilibrium among honest users and detect malicious deviations before exfiltration. Certifiers and users operate under a Bayesian Temporal Correlated...
From Security Events to Conflict States: A Three-Layer Cyber Defense Scenario Model for Enhanced Cyber Situational Awareness
Cyber defense in mission-critical environments requires integrated approaches capable of representing adversarial progression, defender-side uncertainty, mission impact, and defensive decision support within a unified framework. In operational domains, defenders must continuously estimate the...
Incident-Data Robustness Analysis of the OWASP Top 10 for LLM Applications (2026): How a Community-Expert Ranking Holds up against a Large-Scale LLM Incident Corpus
The OWASP Top 10 for LLM Applications ranks the risks that a community of security practitioners judges most important. We ask a narrower question: checked against the record of real incidents, does that expert ranking agree with the data? We assembled a large-scale corpus of LLM-security inciden...
CVE-2026-32788
Uncontrolled search path for some Approximate Bayesian Inference Framework before version on commit 484c949 within Ring 3: User Applications may allow an escalation of privilege. Unprivileged software adversary with a privileged user combined with a low complexity attack may enable escalation of...
CVE-2026-32788
Uncontrolled search path for some Approximate Bayesian Inference Framework before version on commit 484c949 within Ring 3: User Applications may allow an escalation of privilege. Unprivileged software adversary with a privileged user combined with a low complexity attack may enable escalation of...
EUVD-2026-56529
Uncontrolled search path for some Approximate Bayesian Inference Framework before version on commit 484c949 within Ring 3: User Applications may allow an escalation of privilege. Unprivileged software adversary with a privileged user combined with a low complexity attack may enable escalation of...
CVE-2026-32788: Uncontrolled Search Path Element
Uncontrolled search path for some Approximate Bayesian Inference Framework before version on commit 484c949 within Ring 3: User Applications may allow an escalation of privilege. Unprivileged software adversary with a privileged user combined with a low complexity attack may enable escalation of...
PT-2026-70338
Name of the Vulnerable Software and Affected Versions Approximate Bayesian Inference Framework versions prior to commit 484c949 Description An uncontrolled search path within Ring 3: User Applications allows an unprivileged software adversary to achieve escalation of privilege. This issue can be...
Modeling Local Exploit Hazard - a Bayesian Framework for Quantifying Exploit Risk and Operational Efficiency
This paper presents a local exploit hazard model : a Bayesian framework that converts the global probabilities produced by an exploit likelihood model ELM, such as the Exploit Prediction Scoring System EPSS, into a daily exploit hazard rate for an organization's own assets. The model measures the...
A Data-Driven Security Quantification Framework for IoT-Based Systems
The Internet of Things IoT is integral to modern cyber-physical systems. Quantitative cybersecurity assessment in IoT environments remains challenging due to heterogeneous system architectures, evolving threat landscapes, and the limited availability of reliable probabilistic exploitability data...
A Bayesian Network Approach for Enhancing Security-Focused Decision Support Systems
The adoption and integration of heterogeneous stacks in most of today's open-source based networks brings clear benefits like interoperability and availability of advanced features. Yet, on the other hand the increasing number of interconnecting components and moving parts requires maintaining an...
Stable Agentic Control: Tool-Mediated LLM Architecture for Autonomous Cyber Defense
Agentic systems involved in high-stake decision-making under adversarial pressure need formal guarantees not offered by existing approaches. Motivated by the operational needs of security operations centers SOCs that must configure endpoint detection and response EDR policies under adversarial...
Cross-Scale Persistence Analysis of EM Side-Channels for Reference-Free Detection of Always-On Hardware Trojans
Always-on hardware Trojans pose a serious challenge to integrated circuit trust, as they remain active during normal operation and are difficult to detect in post-deployment settings without trusted golden references. This paper presents a reference-free detection framework based on cross-scale...
STARDIS: Strategic Scheduling and Deceptive Signaling for Satellite Intrusion Detection System Deployment
Satellite communication networks operate under stringent computational constraints and are susceptible to sophisticated cyberattacks. This paper introduces a novel defense framework that decouples security optimization into ground-based analysis and onboard real-time execution. In the long-term...
Automating Agent Hijacking Via Structural Template Injection
Agent hijacking, highlighted by OWASP as a critical threat to the Large Language Model LLM ecosystem, enables adversaries to manipulate execution by injecting malicious instructions into retrieved content. Most existing attacks rely on manually crafted, semantics-driven prompt manipulation, which...
Reference-Free EM Validation Flow for Detecting Triggered Hardware Trojans
Hardware Trojans HTs threaten the trust and reliability of integrated circuits ICs, particularly when triggered HTs remain dormant during standard testing and activate only under rare conditions. Existing electromagnetic EM side-channel-based detection techniques often rely on golden references o...