Supabase Failed Login Attempts Query (SQL Examples)
Run a supabase failed login attempts query in the SQL editor: filter auth.audit_log_entries for failed logins by IP, detect brute force, and mind retention limits.
Query auth.audit_log_entries directly in the Supabase SQL editor to find failed logins: filter rows where payload ->> 'action' is 'login' and payload ->> 'error' is not null. Each row gives you the timestamp, IP address, and email. This is the fastest way to answer a supabase failed login attempts query — no log export or third-party tool needed. *Last updated: 2026-10-10* Minimal working example: supabase failed login attempts query Supabase records every auth event — logins, sign-ups, token refreshes — in auth.audit_log_entries . Open the SQL editor in your Supabase dashboard and run: select created_at, ip_address, payload ->> 'email' as email, payload ->> 'error' as error_message from auth.audit_log_entries where payload ->> 'action' = 'login' and payload ->> 'error' is not null order by created_at desc limit 50; You get one row per failed login: timestamp, source IP, attempted email, and GoTrue's error message ( invalid login credentials , email not confirmed , and so on). Spot-check a single row first with select payload from auth.audit_log_entries limit 1; — payload key names have shifted across GoTrue versions, and five seconds of verification beats an hour of debugging a filter that matches nothing. If you are still getting oriented with the platform, the complete Flutter and Supabase guide explains where Auth fits in the overall stack. Variations: brute force, 24-hour windows, and the log explorer Brute-force detection. Group failures by IP over the last hour to spot credential stuffing: select ip_address, count(*) as failed_attempts, min(created_at) as first_attempt, max(created_at) as last_attempt from auth.audit_log_entries where payload ->> 'action' =…