reconftw is an attack surface management framework and reconnaissance workflow orchestrator designed to automate the discovery, mapping, and monitoring of external digital assets. It operates as a modular tool-chain pipeline that coordinates a sequence of security tools to perform intelligence gathering and vulnerability scanning.
The project distinguishes itself through a cloud-native deployment model that parallelizes scanning workloads across a fleet of remote VPS instances to bypass local resource constraints. It utilizes container-based environment isolation to ensure consistent execution across different cloud providers and features a checkpoint system to resume interrupted workflows from the last point of failure.
The toolkit covers a broad range of capabilities, including passive and active subdomain enumeration, open-source intelligence gathering, and network infrastructure analysis. It also incorporates automated vulnerability scanning for common web flaws and CVEs, differential asset tracking to identify new targets, and the generation of security reports using artificial intelligence.
The environment can be deployed via container orchestration and integrated into CI/CD pipelines for recurring security checks.