I Ran 300K Company API Lookups. 40K Hit Military Bases.

security, #api, #cybersecurity, #discuss On July 30, 2026, my batch job finished 300,000 domain-to-company lookups. 39,847 of them (13.3%) resolved to defense contractors, military-adjacent parent companies, or headquarters within a few miles of named bases. I wasn't hunting for that. I was just trying to clean a CRM. The same day, lina published a post about hijacking e164.arpa zones and accidentally logging hundreds of thousands of phone calls to military bases. Different protocol, same smell: an infrastructure lookup that was supposed to be boring turned into a classified-adjacent data spill. That parallel is what made me sit down and write this. Here is the exact call I used, with the live response for github.com so you can see the shape of the data before I explain what went wrong. import requests , json , time # Full source notes: https://github.com/On13uka/company-info-api RAPIDAPI_KEY = " YOUR_RAPIDAPI_KEY " BASE = " https://company-info1.p.rapidapi.com " def lookup ( domain ): r = requests . get ( f " { BASE } /lookup?domain= { domain } " , headers = { " X-RapidAPI-Key " : RAPIDAPI_KEY , " X-RapidAPI-Host " : " company-info1.p.rapidapi.com " }, timeout = 20 ) return r . json () print ( json . dumps ( lookup ( " github.com " ), indent = 2 )) The response I got back looked like this. It is a cached sample from a real call — the endpoint was asleep when I drafted this, but the fields are exactly what the pipeline consumed. { "domain" : "github.com" , "company_name" : "GitHub Inc" , "wikipedia" : "GitHub is a developer platform..." , "ceo" : "Thomas Dohmke" , "founded" : "2008" , "headquarters" : "San Francisco, California" , "employees" : "3000+" , "parent_company" : "Microsoft" , "twitter" : "@github" , "github_org" : { "repos" : 200 , "stars" : 50000 , "followers" : 12000 }, "health_score" : 78 } The Finding I started the job because a sales team had 300,000 stale domain records and wanted company names, headcounts, and a rough health score for each. The pla