Does WordFence Do This?
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Hi team,
WorldPay are the company I use to take payments for my client's eCommerce website. The site had a 'Card-Testing' attack with 1000s of fake purchases and so WorldPay have suggested the following additions to the site's security. My question is, will Wordfence Security cover for this type of protection, please? Or can you advise on what is required to gain this level of protection?
QUOTE FROM WORLDPAY SUPPORT:
I would recommend speaking to your web developer for further help and support in relation to implementing further security to stop these attacks moving forward. Please see a below list of best practices which could be implemented to help. · Leverage authentication and CAPTCHA controls to prevent automated transaction initiation by bots or scripts (e.g. 5 authorisations from one IP address or Account). · Utilise fraud detection systems that support device fingerprinting and botnet detection. · Use a layered validation approach that employs Card Validation Codes and Address Verification Services. · Analyse time zone differences and browser language consistency from the cardholder’s IP address and device. Classify these transactions as potentially high risk and perform more stringent reviews. · Inject random pauses (i.e. throttling) when checking an account to slow brute force attacks that are dependent on time, especially for Bank Identification Numbers (BINs) that have been determined to have a high fraud incidence. · Include IP address with multiple failed card payment data in a fraud detection blacklist database for review and analysis. · In addition to velocity checks for small and large transactions, use velocity checks for low amounts or authorisation-only transactions. · Look for excessive usage and bandwidth consumption from a single user. · Look for multiple tracking elements in a purchase linked to the same device (e.g. multiple transactions with different cards, using the same e-mail address and same device ID). · Look for logins on a single account coming from many IP addresses. · Review logins with suspicious passwords that hackers commonly use. · Lock out an account if a user guesses the username/password and any account authentication data incorrectly on “x” number of login attempts.
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