Authorisation signalsBeta
Make informed, real-time decisions with authorisation signals.
We provide a set of signals at authorisation that you can use to make informed decisions.
Verification data![](https://b.stripecdn.com/docs-statics-srv/assets/fcc3a1c24df6fcffface6110ca4963de.svg)
For every authorisation that takes place, we compare the values provided during checkout with the ones on file. We notify you if we detect a mismatch on:
- CVV2 (or security code)
- Card expiry date
- Billing address
- Billing postal code
- PIN number (when entered)
Identify fraudulent activity![](https://b.stripecdn.com/docs-statics-srv/assets/fcc3a1c24df6fcffface6110ca4963de.svg)
Identifying a mismatch between the card details on file and those entered at checkout might help you identify fraudulent activity. For example:
- A mismatch between the billing postal code and the one provided at checkout might represent a card that’s been stolen by a fraudulent actor who’s unaware of the cardholder’s postal code and attempts to use the card to make a purchase.
- A mismatch between the CVV2 on file and the one entered at checkout might represent a fraudulent actor cycling through card numbers to find one that works, without knowledge of the CVV associated with it.
Reject authorisations![](https://b.stripecdn.com/docs-statics-srv/assets/fcc3a1c24df6fcffface6110ca4963de.svg)
Depending on your risk tolerance and the characteristics of the authorisation, such as whether it’s in person or online, you can reject authorisations if any mismatches are identified in the verification data values.
Fraud disputability assessment![](https://b.stripecdn.com/docs-statics-srv/assets/fcc3a1c24df6fcffface6110ca4963de.svg)
Stripe’s fraud disputability assessment evaluates whether an authorisation can be disputed in the event of fraud.
Make informed decisions based on authorisation disputability![](https://b.stripecdn.com/docs-statics-srv/assets/fcc3a1c24df6fcffface6110ca4963de.svg)
Knowing whether you can dispute an authorisation in the event of fraud at the time of authorisation allows you to make informed decisions. For example, consider an authorisation that is otherwise classified as “medium risk”:
- If you know that you can dispute the authorisation if fraud occurs, you can approve it
- If you know that you can’t dispute the authorisation (if fraud occurs), you can decline it or only approve a lower amount than what’s requested
Stripe assesses disputability likelihood by comparing the characteristics of the authorisation (such as whether 3DS was used or if the card was present with a chip). We make this assessment against network rules for disputes to proactively determine what would happen in the event of a dispute.
Determine the likelihood a dispute can be filed![](https://b.stripecdn.com/docs-statics-srv/assets/fcc3a1c24df6fcffface6110ca4963de.svg)
To determine the disputability likelihood of an authorisation in the event of fraud, examine the fraud_disputability_likelihood field on the Authorization
object. This field populates with various enums that inform you about whether you can dispute the authorisation. We label every authorisation as very_
, neutral
, or very_
, or unknown
:
- When authorisations receive a score of
very_
, it’s highly probable that disputes filed based on these authorisations are accepted by the card network. The card network rarely rejectslikely very_
authorisation disputes. When they do, it’s typically due to exceptional circumstances. These circumstances might include a card filing a fraud dispute for the second time or exceeding the allowable number of disputes for a card within a specific time frame defined by Visa.likely - When authorisations receive a score of
very_
, disputes are almost always automatically rejected by the card network.unlikely - When authorisations receive a score of
neutral
, Stripe assesses that the dispute outcome depends on various factors. Historically, these disputes are more likely to be accepted by the card network. However, this behaviour might change at any given point.
Learn more about fraud disputability likelihood.
High-risk business alerts![](https://b.stripecdn.com/docs-statics-srv/assets/fcc3a1c24df6fcffface6110ca4963de.svg)
Use webhook notifications to receive detailed risk assessments of the acquiring business involved in an authorisation.
Make informed decisions based on risk level![](https://b.stripecdn.com/docs-statics-srv/assets/fcc3a1c24df6fcffface6110ca4963de.svg)
If you have data on the risk level of a business and the likelihood of a dispute, you can make more informed decisions about which authorisations you approve or reject. To make this assessment, Stripe evaluates all the acquiring transaction activity for a business on Stripe Issuing, including data such as its historical dispute rate.
Determine the risk level![](https://b.stripecdn.com/docs-statics-srv/assets/fcc3a1c24df6fcffface6110ca4963de.svg)
To determine the risk level, examine the risk_assessment.merchant_dispute_risk hash field on the Authorization
object. The following example demonstrates how to use each value.
Example responses![](https://b.stripecdn.com/docs-statics-srv/assets/fcc3a1c24df6fcffface6110ca4963de.svg)
A low (normal) risk transaction:
{ "id": "iauth_1CmMk2IyNTgGDVfzFKlCm0gU", "object": "issuing.authorization", // ... "risk_assessment": { "merchant_dispute_risk": { "risk_level": "normal", "dispute_rate": 5 } } }
A high-risk transaction:
{ "id": "iauth_1CmMk2IyNTgGDVfzFKlCm0gU", "object": "issuing.authorization", // ... "risk_assessment": { "merchant_dispute_risk": { "risk_level": "high", "dispute_rate": 47 } } }
Learn more about merchant dispute risk.
Card testing risk![](https://b.stripecdn.com/docs-statics-srv/assets/fcc3a1c24df6fcffface6110ca4963de.svg)
Card testing is a prevalent form of fraud where fraudulent actors test stolen card numbers or cycle through primary account numbers (PANs) until they find a valid one. They use this valid PAN at a business with weak verification controls. To counteract this, Stripe assesses the likelihood of your involvement in a card testing attack, takes action on your behalf, and notifies you through the API about the severity of the incident. Additionally, we assess if any cards may have been compromised during the attack.
Make informed decisions based on card testing risk![](https://b.stripecdn.com/docs-statics-srv/assets/fcc3a1c24df6fcffface6110ca4963de.svg)
Stripe automatically intervenes in the most obvious card testing scenarios. We offer a balanced approach in medium-risk situations to avoid being overly conservative. These cases require careful consideration of various factors, including the authorisation and cardholder details. As a result, we recommend the careful evaluation of all relevant considerations before making a decision on whether to block an authorisation.
We assess card testing risk by, among other things, evaluating the frequency and intensity of “card does not exist” declines associated with a specific bank identification number (BIN) or merchant. These declines are the most definitive significant indicator because they often exhibit a noticeable increase in speed and frequency compared to regular card declines.
Determine card testing risk![](https://b.stripecdn.com/docs-statics-srv/assets/fcc3a1c24df6fcffface6110ca4963de.svg)
To determine card testing risk, examine the risk_assessment.card_testing_risk field on the Authorization
object. The following example demonstrates how to use each value. We also provide the following fields:
invalid_
: Stripe calculates and returns this value when a decline contains a non-existent PAN.account_ number_ decline_ rate_ past_ hour invalid_
: Stripe calculates and returns this value on declines where the PAN exists (or existed in the past), but other verifications such as the CVV, expiry, and postal code are failing.credentials_ decline_ rate_ past_ hour
Example responses![](https://b.stripecdn.com/docs-statics-srv/assets/fcc3a1c24df6fcffface6110ca4963de.svg)
A low risk transaction:
{ "id": "iauth_1CmMk2IyNTgGDVfzFKlCm0gU", "object": "issuing.authorization", // ... "risk_assessment": { "card_testing_risk": { "invalid_account_number_decline_rate_past_hour": 5, "invalid_credentials_decline_rate_past_hour": 3 } } }
A high-risk transaction:
{ "id": "iauth_1CmMk2IyNTgGDVfzFKlCm0gU", "object": "issuing.authorization", // ... "risk_assessment": { "card_testing_risk": { "invalid_account_number_decline_rate_past_hour": 79, "invalid_credentials_decline_rate_past_hour": 83 } } }
Learn more about card testing risk.
Recommended settings![](https://b.stripecdn.com/docs-statics-srv/assets/fcc3a1c24df6fcffface6110ca4963de.svg)
To get started, enable the following settings that align with your business needs. While these settings might not be customised to your business model, geography, or cardholder behaviour, you can use them as a source of directional guidance when using Stripe’s tools. Contact us for support in adjusting these thresholds.
Optimise for approval rate | Balance approval rate and fraud prevention | Optimise for fraud prevention | |
---|---|---|---|
Verification data | Block on mismatch value | Block on mismatch value | Block on mismatch and not_ values |
Fraud disputability likelihood | No action | Block on very_ value if fraud is suspected | Block on very_ value if fraud is suspected |
High risk merchant alerts | Block on high value if fraud is suspected | Block on high value | Block on high value |
Card testing risk | No action | Block on high value if fraud is suspected | Block on elevated and high values if fraud is suspected |
Authorisation signals are currently limited to beta users. You must be an Issuing customer to join the beta. To request access to the beta, log in to your Stripe account and refresh the page. Contact Stripe for more information.