Infostealer log collection
Continuous acquisition from the channels where stealer logs are traded, parsed to structured credentials, hosts and device profiles.
One console for employee, third-party and customer credential exposure — collected at source, resolved to an owner, and delivered as evidence your team can act on.
StealerHunt is built around one question a generic threat feed cannot answer: which of our identities are already exposed, and what do we do about them today? The platform collects criminal data at source, resolves every record to an owner, and hands your team evidence it can act on — without your analysts ever touching a plaintext password.
One console covers employee, third-party and customer exposure. You register your domains and assets once; every new record that lands in the index is matched against them automatically.
Continuous acquisition from the channels where stealer logs are traded, parsed to structured credentials, hosts and device profiles.
Historic and newly circulated dumps are normalized and joined to the same identity graph, so one person’s exposure reads as one story.
Victim postings and published archives are tracked for mentions of your organization and your suppliers.
Root domains, subdomains and known application hosts are resolved so a credential for an internal portal is not filed as consumer noise.
Every record is typed as employee, third-party, customer or unrelated — the distinction that decides who responds and how fast.
Where the data supports it, findings are grouped by the infected machine so you can tell one compromised laptop from a hundred separate leaks.
Detection on its own creates a backlog. The workflow below is what turns a finding into a closed ticket.
Domains, brands and supplier relationships define the matching scope.
The first run scores everything already in the index, so you start from a known position rather than an empty queue.
Findings arrive classified and prioritized — corporate SSO credentials ahead of a marketing newsletter signup.
Analysts see masked records, source context and first-seen dates; full values stay out of the interface by default.
Force a reset, revoke a session, open a ticket, or escalate to the supplier that owns the account.
Export an executive summary that reads as risk, not as a data dump.
New records matching your assets raise alerts rather than waiting for the next review cycle.
Breach intelligence is sensitive by definition — the raw material is other people’s credentials. The platform is built so that handling it does not create a second incident. Records are masked in the interface, exports are sanitized, access is scoped and audited, and nothing requires an analyst to view a working password in order to act on it.
Every assessment produces a document a CISO can take into a board meeting without translation.
The exposure position in plain language, with the three things that need a decision.
Volumes by identity type, asset and severity, with trend against the previous period.
What to remediate first, and why that order.
Masked records with source and first-seen context, suitable for sharing with an auditor.
The proof of concept runs against your own domains and your own leaked data. It is scoped to a fixed period, delivers a real report rather than a demo dataset, and ends with a concrete remediation list. If the exposure is small, the report says so.
The StealerHunt console dashboard: exposure overview, severity breakdown and the priority actions queue.
A time-boxed assessment on the domains you register — your real exposure, not synthetic or sample data, and no procurement cycle to start one.
Masked evidence by default · Tenant-isolated · Encrypted in transit and at rest · Nothing deployed in your estate