SYSTEMS OPERATIONAL
v2.1
G
GAMBLE.CC
Casino Intelligence Platform
VerifiedThis platform accepts $0 from casinos. No affiliate links. No paid rankings. Ad-funded only.
← Back to Dashboard
Database

The Naughty List

A centralized intelligence database documenting how players defraud online casinos. Every tactic, every scheme, every exploit — catalogued so operators can protect themselves and honest players get a fair game.

The Scale Of The Problem
$1.2B
Lost to mobile casino fraud (2022–23)
64%
YoY increase in iGaming fraud (2022–24)
83%
Of operators report fraud is getting worse
15%
Of promotional budgets lost to bonus abuse
Fraud Categories
Category 01

Multi-Accounting & Bonus Abuse

The most prevalent form of player fraud. Individuals create multiple accounts — sometimes dozens — using stolen identities, fake documents, or family members' details to repeatedly claim welcome bonuses and promotions intended for new users only. Industry data suggests bonus abuse accounts for roughly two-thirds of all reported fraud cases in iGaming.

SEVERITY: CRITICAL
Common Tactics
Creating accounts with slight variations in personal details (name spelling, DOB off by a day)
Using VPNs and antidetect browsers to mask device fingerprints
Deploying bots to automate account creation and bonus claiming at scale
Employing device emulators to simulate multiple unique devices
Purchasing stolen identities on dark web markets to pass KYC checks
Known Cases
Connecticut Identity Theft Ring (2025–26)
Two men charged with using personal information from ~3,000 victims to open fraudulent gambling accounts across platforms including FanDuel/Mohegan Sun. Alleged $3M scheme involving fraud, identity theft, and money laundering. Federal grand jury indictment issued.
PayPal Promotional Abuse (2023–24)
PayPal shut down 4.5 million accounts after discovering organized bad actors exploiting promotional campaigns through mass multi-accounting — demonstrating the scale at which these schemes operate.
Category 02

Chargeback Fraud

Players deposit funds, gamble, then dispute the charges with their bank — claiming the transactions were unauthorized. Known as "friendly fraud" when done by the actual cardholder. Each $100 in chargebacks costs operators roughly $207 when processing fees, penalties, and administrative costs are included. High chargeback rates can result in payment processor bans, effectively crippling an operator's business.

SEVERITY: HIGH
How It Works
01 Player deposits using credit card and receives welcome bonus
02 Player gambles and either wins or loses — outcome is irrelevant
03 Player contacts bank claiming "unauthorized transaction" or "didn't recognize charge"
04 Bank reverses the charge; casino loses both the deposit and any winnings paid out
05 Some use stolen cards entirely — real cardholder disputes, casino eats the loss
Impact & Consequences
! Operators can pursue civil claims and report to authorities
! Criminal fraud charges are possible in most jurisdictions
! Pennsylvania Gaming Board maintains an Involuntary Exclusion List — currently 30 individuals
! Accounts flagged across operator networks; future gambling access blocked
! Some operators bypass banks and report directly to law enforcement
Category 03

Fake Documents & Deepfake KYC

Fraudsters use fabricated identity documents and increasingly sophisticated AI-generated deepfakes to bypass Know Your Customer verification. The 2025 Veriff Identity Fraud Report found that attackers now use device emulators to simulate multiple unique devices while submitting AI-manipulated selfies and forged documents. Approximately 65% of operators cite identity fraud as a major risk to their platforms.

SEVERITY: HIGH
Methods Used
AI-generated deepfake selfies that defeat liveness detection checks
Professionally forged passports, driver's licenses, and utility bills
Synthetic identities combining real and fabricated personal data
Background-check sites (BeenVerified, TruthFinder) used to gather supplementary data to pass verification
AI tools used to fabricate supporting documents and manipulate images
Why It's Getting Worse

The iGaming industry experienced a significant surge in "physical adversary-in-the-middle" attacks in 2024, where fraudsters physically intercept or manipulate the verification process. Combined with cheap access to AI image generation and document forgery tools, the barrier to creating convincing fake identities has dropped dramatically.

The fraud rate in iGaming held at 6.48% through 2024, with identity theft driving both account creation fraud and downstream bonus abuse. Stolen credentials are readily available on dark web markets, creating a pipeline from data breaches to casino fraud.

Category 04

Collusion & Chip Dumping

Groups of players working together to manipulate game outcomes. In poker, this means sharing hand information or deliberately losing chips to a designated "collector" account. Chip dumping is used both for bonus extraction and money laundering — the losing accounts appear legitimate while funneling value to a single controlled account.

SEVERITY: MEDIUM
How Collusion Works
Multiple accounts at the same poker table sharing hole card information
Coordinated betting to trap legitimate players between colluding accounts
Deliberate chip dumping: intentionally losing to transfer value between accounts
Using location spoofing and proxies to appear in different locations
Syndicate operations spanning dozens of accounts across multiple platforms
Money Laundering Connection

Online casinos processing large sums are attractive targets for money laundering. Criminals deposit illicit funds, place low-risk bets, then withdraw "winnings" that appear legitimate. Chip dumping adds another layer — dirty money enters through one account and exits as poker winnings from another.

Regulators increasingly require operators to implement AML screening, transaction monitoring, and suspicious activity reporting. Failure to detect laundering can result in license revocation and criminal liability for the operator.

Category 05

Gnoming

A specific subtype of multi-accounting where a player creates accounts using the identities of real people — friends, family members, or unwitting victims — rather than purely fabricated details. These accounts appear to belong to genuinely different individuals, making detection significantly harder than standard multi-accounting with obvious duplicate patterns.

SEVERITY: HIGH
Primary Uses
Bypassing self-exclusion lists
Circumventing maximum bet limits
Claiming multiple welcome bonuses
Controlling multiple poker hands simultaneously
Why It's Dangerous
Accounts pass KYC because they use real people's data
Legitimate individuals may face consequences for fraud they didn't commit
Extremely difficult to link accounts through standard detection
Often combined with VPN/proxy use for location masking
Detection Methods
Device fingerprinting across accounts
Behavioral analysis of betting patterns
IP correlation and geolocation tracking
Shared payment method detection
Category 06

Arbitrage & Matched Betting

Placing bets on every possible outcome of an event across different operators to guarantee a profit using odds discrepancies and free bet promotions. While not always illegal, operators consider it a terms violation and will restrict or ban accounts engaging in it. Automated bots allow this to operate at industrial scale.

SEVERITY: GREY AREA
Why This Matters

The Problem

No centralized cross-operator blacklist exists — banned players just move to the next casino
iGaming fraud has increased 64% year-over-year between 2022 and 2024
Over 8% of new applicants on some platforms are fraudsters
Operators lose up to 15% of promotional budgets to abuse schemes
Fraud raises costs for everyone — tighter bonus terms and stricter KYC hurt legitimate players
Cross-operator data sharing remains legally complex under GDPR and similar frameworks

Our Approach

Public intelligence database documenting verified fraud tactics and patterns
Sourced from court records, regulatory actions, industry reports, and forum investigations
All personal identifiers anonymized — we document methods, not individuals
Dispute process available for anyone who believes they are incorrectly referenced
Data aggregated from CasinoGuru, AskGamblers, Trustpilot, BitcoinTalk, Reddit, and regulatory filings
Goal: help operators detect fraud faster and protect honest players from collateral damage
Report Fraud

Are you an operator dealing with organized fraud? Have evidence of schemes targeting multiple platforms? We aggregate intelligence to help the industry respond collectively. Contact us with documentation — payment trails, account patterns, forum evidence, or regulatory filings.

Legal Notice

All information sourced from public records, court documents, regulatory filings, published industry reports, and open forum discussions. Statistics cited from Veriff Identity Fraud Report 2025, Sumsub 2025 iGaming Report, SEON industry analysis, and ThreatMark research. Listed cases reference public legal proceedings and official press releases. Individuals referenced in case studies may dispute entries with evidence. Identifiers are anonymized where possible.

Data Sources:CasinoGuruAskGamblersTrustpilotBitcoinTalkReddit
GAMBLE.CC © 2025v2.1