Infrastructure intelligence for fraud investigators
See the fraud before you see the loss.
Scams start outside financial institutions. FraudContext turns scammer infrastructure, tactics, techniques, and procedures into connected fraud intelligence, so investigators can act before money moves.
Infrastructure registered
Lookalike domains and accounts stood up in a short window, often through a single registrar or provider.
T1583 · Acquire Infrastructure
Victim outreach begins
Direct messages, referral links, or posts go out carrying a consistent signature across accounts.
T1585 · Establish Accounts
Content reused across the campaign
A distinctive phrase, image, or asset reappears across otherwise unrelated accounts — a shared kit, not a coincidence.
T1588 · Obtain Capabilities
Pattern confirmed from the victim side
Response timing and phrasing are consistent with a scripted operator working from a playbook.
T1656 · Impersonation
a representative pattern, not a specific case
The visibility gap
Scams start long before fraud analysts can see them
Scams begin in external channels — texts, fake websites, social apps — that financial institutions have no visibility into. By the time a claim or dispute is filed, the operation is weeks old and the money is gone.
EXTERNAL CHANNEL
Where it starts
Domain registration, account creation, recruitment messaging. None of it touches your systems, so none of it appears in your data.
HANDOFF
Where it becomes real
The victim is moved to a payment. This is the first moment an institution sees anything — and it looks like a legitimate instruction.
INSTITUTIONAL VIEW
Where you find out
A claim, a dispute, a chargeback. The investigation starts with the only artefact that survived: one transaction.
Analyst workflow
What changes when you start from the infrastructure
FraudContext is built around the questions an investigator actually asks, in the order they ask them.
"Have we seen this before?"
Pivot from one artefact
Start with a domain, a handle, a phone number, or a referral code, and get every connected node already observed — with dates, not guesses.
"Is this one crew or several?"
Separate operations from toolkits
Shared techniques do not mean shared operators. Technique-level tagging shows where a pattern is a crew and where it is a kit being resold.
"What did they do, in order?"
Read the operation as a timeline
Attacker, victim, and infrastructure events on one track, so the sequence and the gaps in it are visible at a glance.
"What do I hand to the team?"
Export evidence that holds up
Every event carries its source, its timestamp, and its technique reference — the record a case file, a regulator, or a partner institution needs.
Coverage
Techniques, not just indicators
Indicators go stale in days. The techniques behind them persist for months, which is what makes them worth tracking.
| Technique | Observed as | Ref |
|---|---|---|
| Acquire infrastructure | Bulk lookalike domain registration | T1583 |
| Establish accounts | Aged social profiles with seeded history | T1585 |
| Obtain capabilities | Shared messaging kits reused across campaigns | T1588 |
| Impersonation | Supplier and executive spoofing | T1656 |
| Content injection | Cloned directories and quote databases | T1660 |
Full
provenance on every event in the record
Mapped
every technique tagged to a named reference
Auto-generated
investigation reports assembled straight from the graph
Persistent
case notes and team collaboration that carry across sessions
Where the signal comes from
Built from more than one channel
No single source carries the whole picture. FraudContext's graph is assembled from several observation channels — and EverydaySecurity's free small-business tooling is one of them, alongside others we draw on for the same reason: these operations are visible in more places than an institution's own systems.
01 · SEVERAL SOURCES
No single channel is the whole story
Institutional partners, open infrastructure signals, and small-business tooling each surface a different slice of an operation — none of them the full picture alone.
02 · SMALL BUSINESSES, TOO
A real, if modest, contributor
What a small business encounters through Scam Checker or a risk review is genuine signal — a smaller share of the graph today than our other channels, but real.
03 · CONNECTED
Every signal is verified before it counts
Whatever the source, each event is resolved against known infrastructure and tagged to a technique before it joins the graph investigators see.
Small business tooling is at everydaysecurity.ai.
Bring us an operation you're already investigating
We'll show you what the graph already holds on it — the infrastructure, the techniques, and the dates — before you commit to anything.