Stop ticketing fraud.
Keep real fans first

Ticketing fraud is any deceptive activity targeting primary ticketing platforms, secondary marketplaces, and live-event sites, and operators usually split it into a few separate layers that each need a different tool. Bot layer: automated scalpers buying inventory at on-sale and reselling at markup, handled by a bot-management platform; Account layer: one person opening many accounts to evade per-account purchase limits, account farms accumulating presale codes and verified-fan status, fake account creation for early-access tiers, and account takeover of real fan logins so codes and season passes can be resold; Payment layer: card abuse and chargebacks after delivery, handled by a payment-fraud platform; Content layer: counterfeit and duplicate tickets sold on consumer marketplaces. ShieldLabs covers the account layer at signup and login, detecting Multi-accounting (one person behind many accounts evading purchase limits, or account farms accumulating presale access) and Account takeover (logins from unrecognized devices), using persistent visitor and user identification that holds across sessions regardless of email, IP, or cleared cookies.

Prevent ticketing fraud by running several layers in parallel, because bots are only the delivery vehicle and abuse slips through at whichever layer has no tool watching. Bot layer: a bot-management platform blocks scripted checkout attempts and credential-stuffing floods; On-sale layer: a virtual waiting room throttles high-demand traffic and randomizes queue position; Payment layer: a payment-fraud platform screens card transactions and friendly-fraud disputes; Policy layer: your own rules (purchase limits per account and per identity, verified-fan presale, identity-bound transfers, region-locked sales) keep obvious abuse in check; Account layer: an identification tool detects one person operating many accounts and logins from unrecognized devices. ShieldLabs covers the account layer, returning a risk score and signals on the first visit so you can hold or step up before a presale code is granted, a purchase limit is exceeded, or a high-risk login completes.

ShieldLabs runs through a single JavaScript snippet on your signup, login, or account page and returns identity and risk data on the first visit, so you can act before a ticket is sold. A 0 to 100 risk score on every signup and login; Persistent visitor and user identification across sessions, cleared cookies, and rotated IP; Risk signals: VPN, proxy, Tor, anti-detect browser, IP reputation, and more; Ready-made High-Risk Events, including Multi-accounting and Account takeover, each with Medium or High confidence, visible in the analytics dashboard. ShieldLabs detects Multi-accounting directly when many signups for a presale or marquee event trace back to one device, browser, or identity, and delivers the score, signals, and events via API and Webhooks so you can flag, hold, or step up before a presale code is granted, a per-account ticket limit is bypassed, or a high-risk login completes.

Yes. Ban evasion is when a previously banned scalper opens a fresh account to keep buying tickets, hoping the new account looks unrelated to the banned one. Multi-accounting from a recognized device; Account farms sharing infrastructure; Logins from unrecognized devices; Signups behind VPN, proxy, Tor, or anti-detect browser. ShieldLabs links a new signup back to a banned source through persistent identification, so once a banned account is tied to a known visitor or device, new signups from the same source are flagged before the account ever buys a ticket.

Yes. The mechanism is the same wherever one person can profit by opening many accounts or getting into an account that is not theirs, so the same signup-and-login identification works across every ticketing category. Primary ticketing platforms (venue and promoter sites, artist stores, season-ticket portals): presale-code farming, verified-fan abuse, per-account limit evasion, and takeover of fan accounts; Secondary marketplaces (resale platforms, peer-to-peer exchanges): bulk-listing account farms and takeover of accounts holding valuable codes or pre-paid tickets; Sports and live-events platforms (festivals, conferences, theme parks): one-account-many-buyer abuse around marquee on-sales and takeover during peak demand windows; SMB and self-serve ticketing (event-management platforms, fan clubs, community events): fake account inflation that distorts presale and member-tier benefits. ShieldLabs identifies the visitor and user behind the account at signup and login and detects Multi-accounting and Account takeover, so you can choose to allow, hold, or step up the account.

Ticketing fraud prevention software is a tool a ticketing platform integrates to flag risky accounts automatically rather than reviewing them by hand, and ShieldLabs is one, focused on the account layer. Installs as one JavaScript snippet on your signup, login, and account pages; Returns a risk score and risk signals through the API and Webhooks; Shows High-Risk Events in the analytics dashboard. ShieldLabs identifies the visitor and user and detects fake-account creation, Multi-accounting, and Account takeover, the identity layer that underlies most ticketing abuse, and helps block fraudulent and abusive traffic.

Integrate ShieldLabs by adding one JavaScript snippet to your signup, login, or account page, which takes about 5 minutes. Add the snippet to your signup, login, or account page; Pass an optional UserHID (a hashed account or fan identifier from your own system) once a buyer signs up or logs in; Read the risk score and risk signals via API and Webhooks for server-side flows; High-Risk Events appear in the analytics dashboard. ShieldLabs returns a risk score and signals on the first visit, and the free tier includes 5,000 one-time identifications with no credit card required, so you can test on real traffic before rolling out to production ahead of a major on-sale.

ShieldLabs detects risky fan accounts out of the box and helps block fraudulent and abusive traffic, so real fans get through. Every signup and login gets a 0 to 100 risk score in one of three bands, plus any High-Risk Events, and you choose the action for each case: Dangerous (60-100): hold a signup or a high-risk login for manual review; Suspicious (30-59): flag a presale signup for review or require one-time verification on a new device; Trusted (0-29): let the fan through with no extra steps. The free tier includes 5,000 identifications to see results on real traffic before rolling out to production.