Dark web fraud intelligence for fraud and financial crime teams.
See the compromised cards, stolen sessions and impersonating infrastructure before the loss lands, not in next month's reconciliation.
This page is for you if
- Card exposure reaches you through reconciliation rather than before the loss.
- Takeovers are arriving on valid credentials and tripping no rule at login.
- You learn about smishing campaigns from your own customers.
- Wire fraud is arriving from domains registered the day before.
What changes before the loss lands
Dark web fraud intelligence is the monitoring of criminal marketplaces, forums and messaging channels for compromised payment data, stolen credentials and session tokens, and fraud infrastructure, matched to a specific institution's cards, customers and brands.
“The session cookie findings changed how we think about takeover. Those logins looked entirely legitimate to our rules engine.”
Head of Fraud Banking & Payments · $1B+ revenue · Gartner Peer Insights™ verified review
What you are dealing with, and what changes
Written in your vocabulary rather than the SOC's: losses, chargebacks, false declines and mule networks, not mean time to resolve.
Card data surfaces after the loss, not before
Fraud DetectionCompromised card search and BIN-level dark web intelligence, so exposure is visible at portfolio level as listings appear.
Pre-emptive reissue and targeted monitoring instead of post-loss recovery.
Account takeover uses valid credentials and trips no rule at login
Identity & Access IntelligenceInfostealer log and session cookie exposure monitoring matched to your customer-facing services, with the malware family and exposure date attached.
Accounts flagged for step-up authentication before the session is replayed.
Wire fraud arrives from a domain registered yesterday
Brand Protection · Agentic decisioningDomain classification that separates business-email-compromise-capable infrastructure from ordinary lookalikes and parked registrations, with takedown on confirmation.
The highest-risk domains surface as their own alert class rather than in a queue of thousands.
You learn about smishing campaigns from customers
Dark Web Monitoring · CampaignsMonitoring of phishing and smishing infrastructure, including phone-number indicators and the kits behind campaigns.
Campaigns identified while infrastructure is being staged.
Funds move faster than the investigation
Indicator coverageCrypto wallet indicators and cash-out infrastructure tracking, linked to the campaigns and actors using them.
Tracing starts with known infrastructure rather than from zero.
Executive impersonation drives payment fraud directly
Executive ProtectionExecutive monitoring covering credential compromise, financial exposure, impersonation and digital footprint, including family members.
The impersonation vector behind approval fraud is covered, not just the email gateway.
You don't need another dashboard
Findings arrive in the tools you already run. Marked ⇄ means bi-directional: status, severity and comments sync both ways, so closing it there closes it here.
Available through
ServiceNow ⇄ 
Jira ⇄ 
Slack ⇄ 
Microsoft Teams ⇄ 
Webhooks 
Microsoft Sentinel 
Splunk 
Cortex XSOAR Fraud workflows rarely live in a SIEM. API-first access means findings can be pushed into your fraud platform, case management or decisioning engine rather than requiring your team to work in a security console.
AI that decides, explains itself, and learns your environment
Decides
AI agents decide whether an alarm should exist at all: evaluating infrastructure, content and visual signals before anything reaches your queue.
Explains
Every decision carries a step-by-step reasoning trail with full audit logs, so “why did this fire” and “why didn't it” are both answerable.
Adapts
Your analysts correct verdicts and explain why. The model adapts to your organisation, so tuning compounds instead of resetting.
For fraud teams the agentic value is precision on the alert class that generates the most noise: impersonating domains and accounts, filtered before they reach a human, with the reasoning shown so a decision can be defended in a case file.
Explore Agentic Threat IntelligenceWhere fraud intelligence comes from
The channels that matter for a fraud team, and what each yields:
Compromised card listings at BIN level, account credentials and full-profile data, with listing dates and vendor context.
Credentials, saved passwords, autofill data and session cookies harvested from infected machines: the account takeover supply chain.
Phishing and smishing kits, fake application distribution, mule and cash-out infrastructure, and the campaigns using them.
Reference view, not live data. The free dark web report and the Campaigns feed show the same collection against your own domain without an account.
Session cookies for your customer portal offered in a stealer log batch
Pre-lossWhat our customers say.
50,000+ world-class brands and organizations across 150+ countries.
Questions we get in this role
How do you detect compromised cards on the dark web?
Criminal marketplaces and forums are monitored for card listings, searchable at BIN level so exposure can be assessed across a portfolio rather than card by card. Findings carry listing context, allowing pre-emptive reissue and targeted monitoring instead of post-loss recovery.
How do stolen session cookies enable account takeover?
Infostealer malware harvests active session cookies alongside saved passwords. A replayed session can bypass both the password and multi-factor authentication, so the login appears entirely legitimate to a rules engine. Monitoring for exposed session data lets accounts be invalidated before replay.
How do you detect BEC infrastructure before the invoice arrives?
Newly registered domains resembling your brand are classified by intent, separating infrastructure configured for business email compromise, including mail records, certificate patterns and hosting behaviour, from ordinary lookalikes and parked registrations, so the highest-risk domains form their own alert class.
Can findings be delivered into our fraud platform rather than a security tool?
Yes. Capabilities are available through APIs and webhooks, so compromised card data, credential exposure and domain classifications can feed your fraud platform, case management or decisioning engine directly.
What this does not decide for you
A false decline costs a customer relationship, so intelligence stays a signal and never becomes an action. Four boundaries.
Nothing is blocked or declined automatically
Findings are delivered as evidence into your platform. Whether an account is stepped up, a card reissued or a transaction declined stays with your rules engine and your team.
Exposure is not the same as fraud
A card appearing in a listing means the data is circulating, not that a loss has occurred. Findings carry listing context and exposure dates so you can size the risk rather than react to a flag.
Every classification can be opened up
Domain intent, malware family and account matching each show the signals behind the verdict, which is what lets a decision stand up in a case file or a dispute.
Your data stays in your workflow
Findings push through API and webhook into the fraud platform or case system you already run. Nothing requires your analysts to work in a security console.
See SOCRadar in action.
A walkthrough run against your own portfolio: your BINs, your customer-facing services, your brands. Not a canned dataset.
- BIN-level exposure: your portfolio searched live against current listings.
- The takeover supply chain: session cookie and infostealer findings for your own customer services.
- BEC classification: how a business-email-compromise-capable domain is separated from an ordinary lookalike.
- Into your fraud platform: a finding pushed through the API, not into a security console.
Additional Resources
Finance Threat Landscape Report
How stolen data, access credentials, extortion operations and phishing infrastructure are used against financial institutions, with underground monetisation patterns.
Download the reportSOCRadar Threat Research Unit
Original investigations from our threat research team into the initial-access and credential economy that supplies fraud and extortion operations.
Read the latest researchFree Dark Web Report
Scan your domain for exposed credentials, infostealer log activity and underground mentions. No account, no install.
Run a report