Attack Playbooks

How these attacks
are actually built

Six playbooks across e-commerce, fintech, SaaS, iGaming, travel and creator platforms. Each one takes an attack apart — the tooling, the control it defeats, what the verdict returns — and models the exposure with inputs you replace with your own. No customer names, because these are not customer reports.

6
Attack playbooks broken down step-by-step
Full
Live detection signals per request
1 call
One API call to a verdict — live the same day
0
CAPTCHAs added to legitimate users
Network
A VPN, with the service named when known; a residential or cloud proxy; Apple’s iCloud Private Relay; a Tor exit; a cloud-server address; another anonymising network; an address on a blocklist.

vpn_detected proxy_detected privacy_relay tor_exit_node datacenter_asn anonymous_network ip_blocklisted

Browser and device
A script or headless browser; a fake browser (antidetect tooling or a tampered environment); an emulator; a virtual machine; a private window; a browser clock that disagrees with the address’s country; a browser whose own GPU report contradicts itself, one account’s fingerprint changing on the same hardware, and several new browser profiles on one machine within a day (all three from the opt-in browser-consistency beta, review only).

automation_detected antidetect_browser emulator_detected virtual_machine private_browsing timezone_mismatch gpu_inconsistent antidetect_randomization antidetect_profile_burst

Repeat use and email
When you send your account id: a device already behind several of your accounts, three or more of your accounts on one device or from one address within a day, one account on three or more devices in a day, and an account you checked before on a device it never used. Also a device seen unusually often, and a throwaway email address when you send the email. Typing, mouse and timing behaviour are not scored.

multi_account_device device_many_accounts ip_many_accounts account_many_devices account_new_device high_activity_device disposable_email

These are the reason codes a POST /v1/evaluate answer can carry next to its allow, review or block. Each playbook below names the ones it routes on.

E-Commerce
Card Testing
0
Blocklist hits on the order

Stolen cards routed through residential proxies arrive from a real consumer ISP near the billing address. IP reputation is clean, AVS matches, geolocation agrees — and the disputes land six weeks later.

Proxy (residential exits)VPNBot Automation
Read case study
Fintech
Fake Signups
4
Layers in the farming stack

A signup bonus is a published price for a fake account. Antidetect browser, residential proxy, catch-all email, scripted fill — each layer defeats one control, and together they leave nothing for a rules engine to count.

Antidetect BrowserVPNResidential ProxyAutomation
Read case study
SaaS
Trial Farming
1
New identity per trial

A new email, a new IP, a cleared browser, and the fourteen days start again. Every trial is individually unremarkable, which is exactly why the cohort never shows up in a per-account check.

Shared deviceProxy (incl. residential)Fake browser
Read case study
Creator Economy
Pledge Fraud
1
Operator behind many backers

Hundreds of plausible backers, no shared card, email or address. What they share is infrastructure — and the payout usually clears before the disputes arrive.

Proxy (incl. residential)Fake browserShared device
Read case study
iGaming
Bonus Abuse
0
KYC failures — the documents are real

Rented identities pass onboarding truthfully, and an antidetect profile per account means the fingerprints never repeat. A fully compliant KYC process is not an obstacle to this attack.

Antidetect BrowserProxy (residential exits)VPN
Read case study
Travel & Ticketing
Scalper Bots
<1s
Bot time-to-hold on release

Direct API calls, one residential IP per session, solved CAPTCHAs at a fraction of a cent. Every control aimed at the bots lands hardest on your customers, who are the ones least able to pay the toll.

AutomationMulti-account DeviceResidential Proxy
Read case study

Have results from your own integration?

These playbooks are worked examples, not customer results. Used Maskbreak on your own site? Share what you measured — positive, mixed or no change.

Include what changed, dates and traffic volume, your comparison method, measured results and limitations. Send aggregate figures only; do not include visitor data, credentials or API keys.

Submitting starts a private conversation, not permission to publish. We will ask you to approve the final wording, figures and whether your organisation is named before publication. Participation is optional and does not affect access.

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