Secure QR-code-initiated payments with adaptive MFA and passkeys, preventing manipulated codes from completing fraudulent transactions.
QR code payments are convenient but can be exploited through code substitution, phishing overlays or manipulated payloads that redirect funds to an attacker. Without a verification step tied to the actual payer, a scanned code alone is not sufficient assurance that the transaction is legitimate and authorised by the account holder.
Require passkey, biometric or push approval before a QR-initiated payment is finalised.
Apply stronger verification when a QR payment amount or destination looks unusual for the account.
Embed verification into merchant apps and payment flows without changing the underlying QR standard.
Combine QR payment verification with the same passkey and MFA stack used elsewhere in the app.
Ties verification to the specific payment being made.
Flags unusual amounts or destinations for extra checks.
Fast, phishing-resistant confirmation method.
Fits into existing merchant payment applications.
A customer at a market scans what appears to be a merchant's payment QR code, but the code has been tampered with to redirect funds to a different account. Because the payment app has Authsignal integrated, the transaction triggers a confirmation step showing the actual payee before the customer approves it with a passkey or biometric prompt. Noticing the payee name does not match the merchant, the customer cancels the transaction rather than approving it blind. The payment provider logs the near-miss and can use it to flag the tampered code for other users.
CyberLane works with payment and product teams to identify where QR payment flows lack a verification step, and advises on integrating Authsignal's confirmation and step-up controls into merchant and consumer apps.
CyberLane is independent and works on the decision rather than the deployment. Product-specific delivery is coordinated with the vendor or a qualified implementation partner.
Content is paraphrased independently by CyberLane from Authsignal's public use-case pages for evaluation purposes; it is not an Authsignal publication.
We start with an independent conversation about where your exposure actually sits, before any technology decision is made.