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Structured enumeration of MySQL server metadata and multiple application-related schemas (analytics, app, app_prod, metrics) combined with dataset sizing and record-count profiling of key tables such as users, sessions, api_keys, projects, and audit_logs. The activity indicates deliberate mapping of database structure, data volume assessment, and identification of high-value datasets consistent with pre-collection reconnaissance or staging for targeted data access or exfiltration.
| IP Address | Risk | Events | Sessions | Country | ASN | Last Seen |
|---|---|---|---|---|---|---|
| 34.38.83.65 | 100% | 903 | 511 | 🇧🇪 BE | AS396982 | 2026-03-30 |
| 34.76.107.251 | 100% | 288 | 286 | 🇧🇪 BE | AS396982 | 2026-04-02 |
| 34.77.219.71 | 100% | 147 | 147 | 🇧🇪 BE | AS396982 | 2026-03-31 |
| 34.79.232.97 | 98% | 89 | 89 | 🇧🇪 BE | AS396982 | 2026-03-21 |
| 104.155.46.83 | 91% | 15 | 15 | 🇧🇪 BE | AS396982 | 2026-04-03 |