recon

프로젝트가 모노레포로 이전되었습니다. 자세한 내용은 https://github.com/pownjs/pown를 참조하세요. Recon Recon은 지식 그래프로 구동되는 대상 정찰 프레임워크입니다. 평평한 테이블 표현 대신 지식 그래프를 사용하면 다양한 유형의 정보 간의 관계를 더 쉽게 찾을 수 있어 많은 상황에서 매우 유용합니다. 지식 그래프 알고리즘은 또한 차이 비교diffing, 검색, 최단 경로 찾기 등 정보 발견 및 정보 수집을 지원하는 다양한 유용한 작업에 도움이 됩니다. 크레딧 이 도구는 secapps.com 오픈소...

Oracle Poisoning: Corrupting Knowledge Graphs to Weaponise AI Agent Reasoning

We define Oracle Poisoning, an attack class in which an adversary corrupts a structured knowledge graph that AI agents query at runtime via tool-use protocols, causing incorrect conclusions through correct reasoning. Unlike prompt injection, Oracle Poisoning manipulates the data agents reason ove...

Securing the Dark Matter: A Semantic-Enhanced Neuro-Symbolic Framework for Supply Chain Analysis of Opaque Industrial Software

Automated vulnerability detection in critical-infrastructure software confronts a fundamental barrier: industrial software is routinely deployed as stripped, symbol-free binaries that deprive conventional Software Composition Analysis of the source-level transparency it requires. Existing binary...

Structuring Security: A Survey of Cybersecurity Ontologies, Semantic Log Processing, and LLMs Application

This survey investigates how ontologies, semantic log processing, and Large Language Models LLMs enhance cybersecurity. Ontologies structure domain knowledge, enabling interoperability, data integration, and advanced threat analysis. Security logs, though critical, are often unstructured and...

graph-rag-poc

Graph RAG Pipeline - Proof of Concept A locally-executable Gr...

KGMark: a Diffusion Watermark for Knowledge Graphs

Knowledge graphs KGs are ubiquitous in numerous real-world applications, and watermarking facilitates protecting intellectual property and preventing potential harm from AI-generated content. Existing watermarking methods mainly focus on static plain text or image data, while they can hardly be...

Hybrid Privacy Policy-Code Consistency Check Using Knowledge Graphs and LLMs

The increasing concern in user privacy misuse has accelerated research into checking consistencies between smartphone apps' declared privacy policies and their actual behaviors. Recent advances in Large Language Models LLMs have introduced promising techniques for semantic comparison, but these...