Find out what’s already been exposed — before someone else uses it against you.
BreachINT searches 18 billion+ breach records across 47,000+ sources for any email, phone number, username, or domain — then goes further than a lookup table. It correlates every exposed field across every source into one investigation, scores the real-world risk with BTRA, and produces a report built to be read by a human, not just filed away.
How it works
Most breach-lookup tools stop at "yes, this email was in a breach." BreachINT treats that as the starting point of an investigation, not the end of one. Every matching record is normalized — breach sources report the same field a dozen different ways (Email/email/EmailAddress, Phone/PhoneNumber/Mobile) — and cross-referenced against every other source the same identifier appears in, so an analyst sees the full picture: every password, address, device fingerprint, and linked account, grouped by the breach it came from and flagged when it’s personally identifying information.
Credential exposure is only one signal. BreachINT also pulls in stealer-log intelligence — infections from RedLine, Raccoon, and similar infostealer malware families that harvest saved browser credentials directly off a compromised device. A stealer-log hit tells you something a breach record can’t: which machine was infected, when, and whether the compromised credentials belonged to a personal account or a corporate one — the difference between a nuisance and a supply-chain incident.
All of it rolls up into BTRA — Breach Threat & Risk Assessment — a composite score built from four measured sub-scores: credential exposure (what fraction of found records actually contain a password or hash), attack surface (how many distinct breach sources the identifier appears in), digital footprint (how many distinct data-field types are exposed — addresses, device IDs, government IDs, financial fields), and stealer activity (device-compromise volume). BTRA isn’t a black box — every sub-score and its inputs are shown in the exported report, so a reviewer can see exactly why a case scored the way it did.
Investigations also cross-reference sanctions and PEP watchlists (OpenSanctions), OCCRP Aleph’s investigative-records database, domain exposure via LeakIX, and open web intelligence — and every finding is laid out in a network relationship map computed directly from the underlying entity graph, not a screenshot of a chart that may or may not have rendered correctly. An AI-generated investigative assessment narrates the findings in plain language before the analyst ever opens the evidence tables.
From seed identifier to finished report — every step happens inside BreachINT.
Monitor executive, employee, and third-party credential exposure before it becomes an incident.
Pivot from a single identifier to a full exposure picture with a defensible, source-cited report.
Screen counterparties and subjects for breach and stealer-log exposure alongside sanctions and adverse media.
Recover linked accounts, contact details, and device history from a single starting identifier.
Continuously check leadership emails against new breach dumps and stealer-log feeds, with BTRA flagging anything that crosses a risk threshold.
Screen vendor domains and contacts for historical breach exposure before onboarding, documented in an exportable report.
When a credential-stuffing attack hits, pull every known exposure for the affected accounts to scope how they were actually compromised.
Start from one email or phone number and let BreachINT surface every linked account, password, and device across every breach it appears in.