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Super Next generation Advanced Reactive honEypot

Super Next generation Advanced Reactive honEypot

TAXII server implementation in Python from EclecticIQ

Cryptographically signed, replay-verifiable evidence layer for AI agents. Governs actions in the loop, produces Ed25519-signed receipts linked into a…

Open-source secret scanner in Rust

Local security intelligence for CVE triage - 40 data sources and 41 tools, risk scores and an MCP server for AI agents, all in native Rust. Private…

A python package for use in generating fake data for SOC and security automation.

Serverless AWS security automation framework that ingests threat intelligence, applies ML-based anomaly detection (RCF, IP Insights), and enriches…

FLARE floss applied to all unpacked+dumped samples in Malpedia, pre-processed for further use.

High-performance Certificate Transparency (CT) monitoring tool written in Rust. Real-time stream of newly issued SSL/TLS certificates from CT logs.…

Self-hosted network discovery and search engine with continuous port scanning, deep protocol probing across ~100 services, local CVE matching, and…

AI-driven automated threat analysis pipeline that routes files, URLs, IPs, domains, or images through specialized security analyzers and generates…

CLI tool that explains CVEs in plain English and scans repos for impact. Powered by Claude.

Spip network sensor written in Go

Open Vulnerability Intelligence platform, aggregated intel in one dashboard, with correlation and IOC lookups, completely self hosted. All resources…

A high-performance TAXII (Trusted Automated eXchange of Indicator Information) server written in Rust.

A curated list of resources regarding CVE-2025-55182, the critical Remote Code Execution (RCE) vulnerability in React Server Components known as…

OWASP project for AI-assisted threat modeling, helping teams identify, analyze, and document security threats and mitigations in system designs.

CTWall (ChainThreatWall) platform helps Security, DevOps, and Product teams make risk decisions faster by using SBOM/BOM data to identify malware in…