detection period: 2026-10-10 00:00-23:59 UTC
total number of suspected botnet IPs: 16871
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 15563
number of spam blocked: 0
recipient count of spam blocked: 0
The top 10 networks (as found in WHOIS), ordered by the number of suspected botnet IPs are:
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1390 |
| 2 | AL-3 | 1243 |
| 3 | GOOGLE-CLOUD | 1068 |
| 4 | PAN-22 | 929 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 437 |
| 7 | CENSY | 372 |
| 8 | CMNET | 261 |
| 9 | FR-ONYPHE-20221220 | 240 |
| 10 | FR-ONYPHE-20221109 | 240 |
The top 10 countries (as defined by the 2-character country code), ordered by the number of suspected botnet IPs are:
| Rank | Country/Region | # of suspected botnet IPs |
|---|---|---|
| 1 | United States | 7841 |
| 2 | China | 2800 |
| 3 | Singapore | 663 |
| 4 | United Kingdom | 612 |
| 5 | France | 562 |
| 6 | Hong Kong | 361 |
| 7 | Netherlands | 316 |
| 8 | South Korea | 258 |
| 9 | Russian Federation | 213 |
| 10 | India | 196 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 273818 |
| 2 | 1463 | 71695 |
| 3 | 2095 | 63567 |
| 4 | 2104 | 50030 |
| 5 | 4034 | 44142 |
| 6 | 2020 | 42273 |
| 7 | 4117 | 41734 |
| 8 | 12022 | 39384 |
| 9 | 1824 | 36866 |
| 10 | 2482 | 32817 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1400 |
| 2 | AL-3 | 1243 |
| 3 | GOOGLE-CLOUD | 1061 |
| 4 | PAN-22 | 921 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 402 |
| 7 | CENSY | 362 |
| 8 | CMNET | 245 |
| 9 | FR-ONYPHE-20221220 | 240 |
| 10 | FR-ONYPHE-20221109 | 240 |
The top 10 countries (as defined by the 2-character country code), ordered by the number of suspected botnet IPs are:
| Rank | Country/Region | # of suspected botnet IPs |
|---|---|---|
| 1 | United States | 8017 |
| 2 | China | 2821 |
| 3 | United Kingdom | 701 |
| 4 | Singapore | 632 |
| 5 | France | 560 |
| 6 | Hong Kong | 349 |
| 7 | Netherlands | 296 |
| 8 | South Korea | 225 |
| 9 | India | 221 |
| 10 | Russian Federation | 220 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 234929 |
| 2 | 55555 | 124538 |
| 3 | 2095 | 104570 |
| 4 | 1463 | 68593 |
| 5 | 2104 | 48123 |
| 6 | 2020 | 41782 |
| 7 | 4034 | 41563 |
| 8 | 4117 | 39967 |
| 9 | 12022 | 39482 |
| 10 | 8088 | 38782 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1477 |
| 2 | AL-3 | 1262 |
| 3 | GOOGLE-CLOUD | 1047 |
| 4 | PAN-22 | 932 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 454 |
| 7 | INFRAWATCH | 448 |
| 8 | CENSY | 414 |
| 9 | FR-ONYPHE-20221220 | 240 |
| 10 | FR-ONYPHE-20221109 | 240 |
The top 10 countries (as defined by the 2-character country code), ordered by the number of suspected botnet IPs are:
| Rank | Country/Region | # of suspected botnet IPs |
|---|---|---|
| 1 | United States | 8321 |
| 2 | China | 3336 |
| 3 | United Kingdom | 744 |
| 4 | Singapore | 633 |
| 5 | France | 574 |
| 6 | Netherlands | 374 |
| 7 | Hong Kong | 305 |
| 8 | Germany | 268 |
| 9 | Russian Federation | 249 |
| 10 | India | 213 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 188432 |
| 2 | 1463 | 67460 |
| 3 | 4117 | 63017 |
| 4 | 2095 | 59139 |
| 5 | 1024 | 50690 |
| 6 | 2104 | 48131 |
| 7 | 4025 | 44826 |
| 8 | 4034 | 41555 |
| 9 | 6701 | 41114 |
| 10 | 12022 | 39440 |