What is ticketing fraud?

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, surfacing patterns indicating one person behind many accounts evading purchase limits, account farms accumulating presale access, and logins from unrecognized devices, using persistent visitor and user identification that holds across sessions regardless of email, IP, or browser.

How do I prevent ticketing fraud?

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 surfaces patterns of 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 your code can hold or step up before a presale code is granted, a purchase limit is exceeded, or a high-risk login completes.

How does ShieldLabs prevent ticketing fraud and abuse?

ShieldLabs runs through a single JavaScript snippet on your signup, login, or account page and returns identity and risk data on the first visit, which your own rules act on 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; Anonymity signals: VPN, proxy, Tor, anti-detect browser, IP reputation, and more; Pre-built patterns indicating multi-accounting, account farms, and account takeover, visible in analytics. ShieldLabs surfaces the multi-accounting pattern when many signups for a presale or marquee event trace back to one device, browser, or identity, and delivers the score and signals via API and Webhooks so your code 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.

Does ShieldLabs detect ban evasion?

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.

Does ShieldLabs work for any kind of ticketing platform?

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 surfaces patterns indicating multi-accounting, account farms, and account-takeover logins, while your own rules decide whether to allow, hold, or step up the account.

Is ShieldLabs ticketing fraud prevention software?

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 anonymity signals through a REST API and Webhooks; Surfaces pre-built abuse patterns in analytics. ShieldLabs identifies the visitor and user and surfaces patterns indicating fake-account creation, multi-accounting, account farms, and account takeover, the identity layer that underlies most ticketing abuse, while your own rules decide whether to allow, hold, or step up an account.

How do I integrate ShieldLabs into a ticketing platform?

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 anonymity signals via REST API and Webhooks for server-side flows; abuse patterns appear in analytics. 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 enabling production rules ahead of a major on-sale.

Will ShieldLabs block users automatically?

No. ShieldLabs blocks nothing automatically; it returns a risk score and a full signal breakdown, and your code decides what to do with each account. Set your own thresholds against the 0 to 100 score; A higher score can flag a presale signup for review or require one-time verification on a new device; A very high score can hold a signup or a high-risk login for manual review. ShieldLabs gives you the signal and the score, your rules keep full control of the action, and the free tier includes 5,000 identifications to test thresholds on real traffic before enabling rules in production.

Ticketing Fraud Prevention

Stop ticketing fraud.
Keep real fans first

Prevent presale-code farming, purchase-limit evasion, and fan-account
takeover across primary and secondary ticketing platforms at signup and login

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Keep fake accounts off the presale

Block fake identities from claiming verified-fan status, member tiers, or early-access presale codes

Keep ticket scalpers in line

Make a four-ticket-per-account limit actually mean four tickets per buyer, not forty

Protect fan accounts from takeover

Catch account-takeover logins from unrecognized devices and anonymized connections before season passes and presale codes get resold

Keep real fans moving

Legitimate fans sign up, log in, and join the on-sale without extra verification steps

How ShieldLabs prevents ticketing fraud and abuse

ShieldLabs combines 100+ device, OS, browser, IP, and network signals, surfacing anonymity signals and abuse patterns

Accurate Identification

Identify returning visitors and users across sessions, cleared cookies, incognito mode, and rotated IP, even when they sign up under fresh emails

Anonymous Traffic Detection

VPN, proxy, Tor, anti-detect browser, IP reputation, and other anonymity signals

Ready Risk Score

A ready-to-use risk model that scores every signup and login 0–100 with signal breakdown

Detect abuse with in-depth pattern analytics

Pre-built patterns indicating multi-accounting, account farms, account takeover, and other abuse patterns

Real-Time Analytics

Aggregate risk score, traffic source attribution, per-session signal breakdown, and active abuse patterns

Prevent ticketing fraud and abuse in 5 minutes

Easily integrate into any signup, login, or account flow

1
Sign up
Sign up and get 5,000 free identifications.
2
Install snippet
Install one JavaScript snippet on your signup, login, or account page.
3
View analytics
View detailed analytics on anonymity signals, risk scores, and potential abuse in your traffic.
4
Use API & Webhooks
Use the API and Webhooks to prevent abuse.

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api.shieldlabs.ai/v1/visits/latest

{
  "request_id": "0c284695-cf0b-4755-8beb-0a2e9536595e",
  "visitor_id": "aa8c616a-8a25-4a5e-bee2-a9a08e5128a4",
  "device_id": "6a45967d-1371-9652-ba99-b01ea3992208",
  "user_hid": "u_9f2a41c7",
  "ip": "62.197.149.124",
  "country": "Lithuania",
  "connection_type": "vpn",
  "os": "Windows",
  "browser": "Chrome",
  "device_type": "desktop",
  "risk_score": 85,
  "signals": [
    { "name": "antidetect_browser", "weight": 60 },
    { "name": "vpn", "weight": 15 },
    { "name": "timezone_mismatch", "weight": 10 }
  ]
}

Protect your ticketing platform from account abuse today

Free 5,000 one-time identifications, with transparent pricing that scales with your needs

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Stop ticketing fraud.Keep real fans first