FRAUD INTELLIGENCE

Understand the abuse targeting your business.

Fraudulent offers and suspicious activity can reveal where businesses are being targeted. IFD helps teams understand emerging abuse techniques, interpret available evidence, and identify relevant data and verification options.

How IFD gathers intelligence

IFD reviews observable offers and activity across underground marketplaces, explains what is advertised and what the available evidence supports, and connects those observations to potential abuse patterns and relevant controls.

Note: Observed activity in underground markets indicates that certain techniques are being offered or discussed. It does not confirm that every business is being actively targeted by every technique listed here.

BOT-001

Bot Signups & Fake Registrations

Automated registrations, bot form submissions, and fabricated account details are among the most commonly advertised fraud techniques. Bots can create accounts at scale, bypassing basic validation with generated or recycled identity data.

Business impact

Inflated user counts, wasted acquisition spend, downstream abuse of trial offers and referral programs, and degraded data quality.

Relevant capabilities

IP intelligence, email validation, phone validation, device risk intelligence and fingerprinting

Evaluate solutions →

DUP-002

Duplicate Accounts & Account Farming

Multi-accounting involves creating multiple accounts—sometimes hundreds—under different identities. Accounts may be accumulated for later misuse: resale, incentive extraction, or coordinated abuse.

Business impact

Repeated exploitation of signup bonuses, referral rewards, and free-tier limits. Accounts may be sold or used in coordinated campaigns.

Relevant capabilities

Device risk intelligence and fingerprinting, identity consistency signals, application risk data

Evaluate solutions →

ATO-003

Account Takeover & Credential Abuse

Credential stuffing uses lists of previously breached username and password pairs to attempt logins at scale. Successful takeovers give attackers access to stored payment methods, loyalty balances, and personal data.

Business impact

Customer harm, unauthorized transactions, support costs, and reputational damage.

Relevant capabilities

IP intelligence, device risk intelligence and fingerprinting, phone validation

Evaluate solutions →

SUB-004

Subscription Abuse & Account Resale

Fraudulent upgrades, unauthorized access to paid subscription tiers, and organized resale of compromised or fraudulently obtained accounts are regularly advertised in underground markets.

Business impact

Revenue loss, unauthorized access to premium features, and potential liability for compromised customer accounts.

Relevant capabilities

IP intelligence, device risk intelligence and fingerprinting, identity consistency signals

Evaluate solutions →

PRO-005

Promo, Trial & Referral Abuse

Repeated exploitation of free trials, signup bonuses, coupons, and referral incentives. Techniques range from simple duplicate accounts to coordinated networks of synthetic identities.

Business impact

Direct financial loss from redeemed incentives, distorted acquisition metrics, and increased cost per genuine customer.

Relevant capabilities

Email validation, phone validation, device risk intelligence and fingerprinting, IP intelligence

Evaluate solutions →

LAF-006

Lead & Affiliate Fraud

Fake leads, misleading form submissions, and fraudulent acquisition activity inflate reported conversion numbers and divert marketing spend. Bot-generated leads and recycled identity data are common techniques.

Business impact

Wasted acquisition budget, distorted performance data, and downstream processing costs for invalid leads.

Relevant capabilities

Email validation, phone validation, IP intelligence, application risk data

Evaluate solutions →

IDF-007

Identity & Application Fraud

Stolen or synthetic identities, repeated use of the same identity across multiple applications, mismatched details, and suspicious submission velocity are observable patterns in application fraud.

Business impact

Credit losses, regulatory exposure, and downstream costs from processing fraudulent applications.

Relevant capabilities

Identity consistency signals, application risk data, biometric and ID verification

Evaluate solutions →

PAY-008

Payment Fraud & Card Testing

Card testing involves submitting small transactions to verify whether stolen payment credentials are active. Successful tests are followed by larger fraudulent charges or resale of verified card data.

Business impact

Chargeback costs, processor penalties, and potential account suspension for merchants with elevated dispute rates.

Relevant capabilities

IP intelligence, device risk intelligence and fingerprinting, transaction risk scoring

Evaluate solutions →

SMS-009

SMS Pumping & Verification Abuse

SMS pumping involves artificially generating OTP or verification message requests to numbers controlled by fraudsters who share in the termination revenue. This is distinct from voice-based toll fraud, which involves different infrastructure and revenue mechanisms. Both can inflate communications costs without delivering genuine users.

Business impact

Significant messaging cost inflation, degraded verification reliability, and wasted engineering resources.

Relevant capabilities

Phone validation, IP intelligence, device risk intelligence and fingerprinting

Evaluate solutions →

ADC-010

Ad & Click Fraud

Automated clicks, invalid traffic, and manipulated acquisition signals inflate reported ad performance and divert spend away from genuine users. Residential proxies and device spoofing are commonly used to evade detection.

Business impact

Wasted advertising spend, distorted attribution data, and inflated cost-per-acquisition figures.

Relevant capabilities

IP intelligence, device risk intelligence and fingerprinting

Evaluate solutions →

Discuss your fraud exposure.

Tell us what you're seeing. IFD can help you understand the techniques being used and identify relevant signals and solutions.