How INETCO BullzAI® stops BIN attacks and repeat, low-value card testing transactions in their tracks

How does a BIN attack work?

A BIN attack (Bank Identification Number attack) is a type of credit card fraud where cybercriminals use the first 6-8 digits of a card number – obtained from public databases, data breaches or the dark web – to systematically guess the remaining digits. Using AI-powered bots or scripting tools, they rapidly test thousands of combinations until a valid card is found, enabling unauthorized charges. The flood of low-value card testing transactions often bypass traditional fraud filters, overwhelm retail and banking systems, and allow unauthorized charges to slip through.

Stop BIN and card testing attacks in milliseconds

INETCO BullzAI combines real-time transaction monitoring, adaptive behavioral analytics, machine learning, and precision blocking at the transaction field level to help payment fraud, cybersecurity and risk teams detect and stop abnormal velocity and low-value authorization attempt patterns associated with card testing and BIN enumeration attacks before they complete – and escalate into larger fraud attacks, chargeback disputes or card network penalties.

DETECT

Instantly identify transaction patterns indicative of high-velocity card testing and AI-driven bot attacks – such as high frequency, low-value transactions from multiple devices during night hours, many cards tested at the same merchant or terminal, and multiple PANs tied to the same device or IP

PREVENT

Analyze individual user and entity behaviors across geographies, merchants or card types – to detect subtle behavioral drift and pinpoint devices, terminals and cards used in BIN or card testing attacks – in real-time

SHIELD

Block high risk individual devices and decline cumulative micro-spending, transfers to unknown accounts or clustered account collection attempts before they complete – using transaction-level precison instead of blocking at the IP address or merchant level and generating false positives

Detect BIN attacks and card testing attacks with real-time threat intelligence

Lower fraud loss

Stop fraud in real-time and avoid higher processing fees, card network penalties for failed authorizations and costly chargeback disputes

Protect against card exploitation

Detect early low-value exploitation and stop valid card numbers from being used for larger fraudulent purchases or sold through fraud-as-a-service channels

Build stronger customer trust

Deliver security that safeguards your reputation, minimizes failed transactions, detects BIN and card testing attacks instantly, and keeps customers happy

Cut operational load

Maintain smooth operations by reducing false positives, lowering alert fatigue and blocking bot-driven traffic and floods of low-value test transactions