Crunchyroll Data Breach Exposes 4,122,549 Records Leaked

HEROIC analysts reportedly identified an exposure tied to Crunchyroll, an anime streaming service, dated March 12, 2026, affecting 4,122,549 records. The data reportedly included email addresses, IP addresses, and credit card information. The only way to know for certain whether your own information is part of this exposure is to scan your email.

What Someone Could Do With This Combination

An email address paired with an IP address and credit card information gives a scammer several angles to work with. They can use the email to send a convincing phishing message, reference the account to make that message feel legitimate, and in some cases attempt to use card details for unauthorized charges.

The Specific Data Involved

• Email Address
• IP Address
• Credit Card

The Real-World Impact

Credit card data tied to a real account makes phishing emails that ask you to update your payment method far more convincing, since the scammer can reference a service you actually use. IP addresses add another layer, letting attackers get a general sense of where an account was typically accessed from, which can be used to make social-engineering attempts feel more credible.

How Data Like This Typically Gets Out

HEROIC analysts classify incidents like this one as database exposures, meaning the records were reportedly taken from the company's own internal systems rather than collected one device at a time through malware. In practice, this usually means a customer database was accessed without authorization and the information later began circulating. Because this report is unverified, HEROIC analysts treat it as credible but not yet confirmed.

Is Your Account Among These Exposed Crunchyroll Records?

The fastest way to find out is to scan your email. If your address turns up, watch for emails or texts claiming to be from the streaming service or your bank asking you to confirm or update payment information, and review your card statements for anything unfamiliar. Check both your personal and work email addresses, since either one could appear in a dataset like this.