OdTM

إطار عمل نمذجة التهديدات القائم على الأنطولوجيا OdTM من OWASP إطار عمل نمذجة التهديدات القائم على الأنطولوجيا OdTM هو مجموعة من الوسائل لتطبيق النهج الأنطولوجي في النمذجة الآلية للتهديدات لأنظمة الحاسوب. وهو مشروع حاضنة OWASP. النهج الأنطولوجي الذي يوفره إطار OdTM له فائدتان عامتان. أولاً، يتيح...

Evidence-Grounded Retrieval for Investigation Hunt Lead Generation from CTI Reports

Threat hunting increasingly depends on converting unstructured knowledge e.g., Cyber Threat Intelligence reports into actionable hunt leads: concise, investigable hypotheses grounded in observable artifacts and adversary techniques. Producing such leads manually is a tedious and hard-to-scale tas...

CTIFoundry: An Agent-Native Corpus Scaffold for Cyber Threat Intelligence

Cyber threat intelligence CTI is increasingly consumed not by human analysts but by LLM agents that compose multi-step investigations at query time. The harness side of this shift has matured rapidly planning loops, tool protocols, context management, but the corpus side has not: threat reports a...

Improving Interoperability among Defence and National Security Ontologies: Analysis and Evaluation Tasks

The use of ontologies and knowledge graphs is becoming increasingly widespread in the defence and national security domain. Numerous ontologies have been developed through initiatives led by academia, industry, and government. Achieving interoperability across diverse defence and national securit...

Supporting Cybersecurity Risk Management for Medical Devices Via the SECUMAN Ontology and Shapes

We propose the SECUMAN ontology and shapes for representing and analysing cybersecurity risk-management documentation for medical devices. Cybersecurity risks are increasingly relevant for connected medical devices and may have direct consequences for patient safety. Current risk-management files...

Reverse Engineering Compliance: A Dual-Graph Verification Framework for Auditing Legacy IT Security Concepts

The NIS-2 Directive increases the need for continuous, auditable compliance evidence and motivates a shift from document-based compliance toward machine-readable compliance artifacts. The Open Security Controls Assessment Language OSCAL is a standard for this purpose, which the German Federal...

MAECO-Lite: Modular Ontology for Dynamic Malware Analysis

Capturing dynamic malware behavior in a practical but still semantically precise manner remains a significant challenge in cyber threat intelligence. While standards such as MAEC and STIX provide widely adopted vocabularies for describing malware artifacts and observations, they represent data wi...

Context-Aware Entity-Relation Extraction for Threat Intelligence Knowledge Graphs

Cybersecurity Knowledge Graphs CKGs unify diverse Cyber Threat Intelligence CTI sources into structured, queryable formats, offering scalable solutions for automating proactive and real-time security responses. Their increasing adoption has significantly enhanced the workflow and decision-making...

Automating Cloud Security and Forensics through a Secure-By-Design Generative AI Framework

As cloud environments become increasingly complex, cybersecurity and forensic investigations must evolve to meet emerging threats. Large Language Models LLMs have shown promise in automating log analysis and reasoning tasks, yet they remain vulnerable to prompt injection attacks and lack forensic...

BDO-Ontology

🧠 OntologyLab !Python 3.11+https://img.shields.io/badge/P...

Rethinking Cybersecurity Ontology Classification and Evaluation: Towards a Credibility-Centered Framework

This paper analyzes the proliferation of cybersecurity ontologies, arguing that this surge cannot be explained solely by technical shortcomings related to quality, but also by a credibility deficit - a lack of trust, endorsement, and adoption by users. This conclusion is based on our first...

Cloud Investigation Automation Framework (CIAF): An AI-Driven Approach to Cloud Forensics

Large Language Models LLMs have gained prominence in domains including cloud security and forensics. Yet cloud forensic investigations still rely on manual analysis, making them time-consuming and error-prone. LLMs can mimic human reasoning, offering a pathway to automating cloud log analysis. To...

Toward an Intent-Based and Ontology-Driven Autonomic Security Response in Security Orchestration Automation and Response

Modern Security Orchestration, Automation, and Response SOAR platforms must rapidly adapt to continuously evolving cyber attacks. Intent-Based Networking has emerged as a promising paradigm for cyber attack mitigation through high-level declarative intents, which offer greater flexibility and...

WATCHDOG: an Ontology-AWare Risk AssessmenT ApproaCH Via Object-Oriented DisruptiOn Graphs

When considering risky events or actions, we must not downplay the role of involved objects: a charged battery in our phone averts the risk of being stranded in the desert after a flat tyre, and a functional firewall mitigates the risk of a hacker intruding the network. The Common Ontology of Val...

CVE-2023-23637

IMPatienT before 1.5.2 allows stored XSS via onmouseover in certain text fields within a PATCH /modifyonto request to the ontology builder. This may allow attackers to steal Protected Health Information...

Malicious code in ontology-starter-react-app (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware ed3602d6737a3861487c258043efce70d2c7fe3708e9dabb0805841c5fddf6d8 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

MAL-2024-2798 Malicious code in ontology-starter-react-app (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware ed3602d6737a3861487c258043efce70d2c7fe3708e9dabb0805841c5fddf6d8 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

AI jailbreaks: What they are and how they can be mitigated

Generative AI systems are made up of multiple components that interact to provide a rich user experience between the human and the AI models. As part of a responsible AI approach, AI models are protected by layers of defense mechanisms to prevent the production of harmful content or being used to...

Applying Data Ontology Concepts to Protect Data

Data breaches continue to be the thorn for most organizations despite the sophisticated and innovative cybersecurity tools that are used to stop what is now the inevitable cost of doing business in a hyperconnected world. In this blog post, I’ll explain how organizations can increase the...

CVE-2023-23637

IMPatienT before 1.5.2 allows stored XSS via onmouseover in certain text fields within a PATCH /modifyonto request to the ontology builder. This may allow attackers to steal Protected Health Information...