Collected molecules will appear here. Add from search or explore.
Automated reconnaissance tool that utilizes Google Dorking to identify exposed files, potential SQL injection vulnerabilities, and extract metadata from discovered assets.
stars
99
forks
18
DorkEye is a standard automation wrapper around Google Dorking techniques. While it consolidates multiple recon tasks (searching, SQLi testing, and metadata extraction) into a single tool, it lacks a technical moat. The defensibility is low (3) because Google Dorking tools are among the most common projects in the cybersecurity community (e.g., Pagodo, GHDB-based scripts, and specialized OSINT tools like spiderfoot or the harvester). With only 99 stars and low velocity after nearly a year, it hasn't achieved the 'standard' status required for infrastructure-grade defensibility. The project faces high platform domination risk because Google frequently updates its anti-scraping mechanisms (CAPTCHAs/rate limits), which can render such tools useless without constant maintenance or expensive proxy rotations. Furthermore, frontier labs and security giants like Microsoft (via Defender/Sentinel) and Google (via Mandiant/Cloud Security) are increasingly integrating automated leak detection and attack surface management, which provides more reliable, API-backed versions of this functionality, making independent dorking scripts largely obsolete for professional use cases.
TECH STACK
INTEGRATION
cli_tool
READINESS