The Auth0 Fraud Risk by Volume detection rule is designed to identify unusual patterns in login attempts that could indicate possible account fraud. Specifically, it detects instances of either successful, failed, or suspicious login attempts leveraging leaked credentials over a specified time window, with a configurable threshold for activity. If the number of access attempts in the defined period exceeds this threshold (20 by default), it raises an alert categorized under a high severity level. This detection is tied to a specific MITRE ATT&CK technique, highlighting its relevance in tracking potential unauthorized access. Analysts can reference this rule through the provided GitHub link for implementation details, including how it tracks various events like password leaks or integration attempts. The rule enforces a deduplication process to prevent multiple alerts from similar attempts within a 60-minute window, ensuring clean and actionable alerts without redundancy.