The data behind every Whiteintel finding

Billions of leaked records, collected continuously from the places attackers actually work. This is what we hold, where it comes from, and what each record gives you.

Credentials tracked
15B+
Credentials tracked
Stealer logs indexed
80M+
Stealer logs indexed
Dark web events
150K+
Dark web events
Threat actors
25K+
Threat actors
Stolen cards
5M+
Stolen cards

Every dataset we provide

Seven datasets, one search. Each one carries the fields your team needs to act, not just a count.

Stealer Logs

Credentials harvested from malware-infected machines, with the full context of the device they came from.

HostnameOperating systemIP addressURLUsernamePasswordCookiesActive sessionsInfection date
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ULPs

URL-login-password sets aggregated from combolists and credential dumps, normalised and deduplicated.

URLLoginPasswordSource batchFirst seen
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Hacker Forum Posts

Posts from the forums and channels where breaches are announced, exploits are shared and access is sold.

RansomwareData breachesExploitsAccess salesFull post textScreenshotThreat actorForum and board
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Lookalike Domain Monitoring

Domains registered to impersonate your brand, caught as they appear and enriched for triage.

DomainWHOISDNS recordsMX recordsLive screenshotRegistration date
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Supplier Security

Third-party exposure graded per vendor, so supply chain risk is measured rather than assumed.

Security scoreCritical eventsBreach exposureInfostealer exposureTrend over time
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Payment Fraud Intelligence

Stolen cards traded in carding shops and dark web channels, mapped back to the issuers they affect.

BINIssuerCard brandMarketplace sourceFirst seen
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Secret Exposure

API keys, tokens and credentials committed to public repositories, found before they are abused.

Secret typeRepositoryFile pathCommitFirst seen
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A count tells you that you are exposed. A record tells you what to do about it.

Where the data comes from

Eight collection streams, running continuously. Nothing here is a one-off scrape.

Infostealer logs

Full logs from malware-infected machines, collected across the active families as they are traded and dumped.

LummaStealCVidarRedline+ more families

Combolists

URL, login and password sets aggregated from credential dumps, then normalised and deduplicated.

URL:login:passDeduplicatedSource batch

Breach databases

Third-party breach dumps, parsed and mapped back to the domains and accounts they affect.

ConsumerCorporateFirst seen

Hacker forums

The boards where breaches are announced, exploits are shared and initial access is sold, captured with full post text.

Post textScreenshotThreat actor

Telegram channels

Private and public channels used to distribute logs, leaks and access, monitored continuously.

Log dropsLeak claimsAccess sales

Onion sites and markets

Dark web marketplaces, carding shops and ransomware leak sites, indexed as listings appear.

Carding shopsLeak sitesMarketplaces

Public code repositories

Secrets committed to public repositories: API keys, tokens and credentials, found before they are abused.

GitHubSecret typeCommit

Domain registrations

Newly registered domains and certificate transparency logs, screened for impersonation of your brand.

1,500+ TLDsCT logsWHOIS

Collected continuously · new records indexed daily · every finding carries its source

Four ways to reach it

The same records, whichever way your team works.

01

Platform search

Query every dataset from one search bar by domain, email, IP, hostname or password, with filters and pivots.

02

REST API

The same records your analysts see, available to your own tooling. Leak Discovery, Dark Web Discovery and Payment Fraud endpoints.

03

Exports and archives

CSV exports with look-back windows by plan, plus full stealer-log archive downloads on the higher tiers.

04

Watchlists and webhooks

Watch domains, emails, keywords, BINs, suppliers and repositories. New matches arrive by email, webhook or SOAR.

More than 100 enterprises worldwide trust our data to protect them

See what our customers are saying.

Verified reviews from CISOs, SOC managers, and security operations teams running Whiteintel in production.

Rich Data, Reliable API, and Prompt Personal Service

Whiteintel provides us a rich dataset through a reliable API that allows us to flag at-risk user accounts and protect our customers' data. The API performs as well, and service is always personal and prompt. The price point aligns well with the value it provides to our organization.

Alexander B.
Technical Director

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Dark web intelligence built on 15B+ exposed credentials and 25,000+ tracked threat actors. See what is already circulating about your organization, and shut it down first.

Dataset FAQs

Collection runs across infostealer command-and-control servers, hacker forums, Telegram channels, criminal marketplaces, carding shops, paste sites, public code repositories and third-party breach databases. Collection is continuous rather than scheduled, and every record retains its originating source so the reliability of a finding can be assessed independently.

Breach aggregators republish public dumps, which are historical, frequently hashed and shared by every vendor using the same corpus. Whiteintel's primary dataset is infostealer logs taken from infected devices, containing plaintext passwords, session cookies and device context, and rarely public at any point. Breach data is included as a long tail rather than as the core of the dataset.

Most new records are parsed, deduplicated and indexed within minutes of collection. Depth covers the full indexed corpus rather than a rolling window: more than 80 million stealer infection logs and more than 15 billion exposed credentials. Every record carries first-seen and last-seen dates, making recency a filterable field rather than an assumption.

All three. The platform interface supports investigation, a REST API provides programmatic access across Leak Discovery, Dark Web Discovery and Payment Fraud endpoints, and CSV export supports reporting. Higher plan tiers additionally provide full stealer-log archive downloads.

Yes. Raw collection is parsed into a consistent schema, duplicates are collapsed so that one exposure produces one record rather than one per re-listing, and identities are correlated across sources. Each record retains every date on which it resurfaced, so deduplication does not remove the exposure timeline.

Standard plans license the data for the subscribing organization's own security use. Resale and customer-facing product integration rights are available from the Threat Intelligence tier, which is the basis on which MSSPs and security vendors build services. Custom data-sharing terms can be scoped where a use case requires them.