detection period: 2026-05-24 00:00-23:59 UTC
total number of suspected botnet IPs: 21668
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 20415
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 | AL-3 | 1534 |
| 2 | MSFT | 1418 |
| 3 | INFRAWATCH | 1178 |
| 4 | GOOGLE-CLOUD | 1038 |
| 5 | PAN-22 | 963 |
| 6 | ASEPL-SG | 517 |
| 7 | VOLCANO-ENGINE | 465 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 378 |
| 10 | cloud | 281 |
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 | 9561 |
| 2 | China | 3557 |
| 3 | Singapore | 909 |
| 4 | United Kingdom | 859 |
| 5 | Germany | 655 |
| 6 | Netherlands | 592 |
| 7 | France | 473 |
| 8 | Hong Kong | 397 |
| 9 | Brazil | 394 |
| 10 | Indonesia | 351 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 403543 |
| 2 | 5525 | 90877 |
| 3 | 2021 | 69188 |
| 4 | 2211 | 53511 |
| 5 | 8122 | 50314 |
| 6 | 22021 | 49690 |
| 7 | 200 | 48444 |
| 8 | 23 | 42538 |
| 9 | 2026 | 37828 |
| 10 | 400 | 37447 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1610 |
| 2 | MSFT | 1462 |
| 3 | INFRAWATCH | 1139 |
| 4 | GOOGLE-CLOUD | 1027 |
| 5 | PAN-22 | 962 |
| 6 | CLOUDFLARENET | 734 |
| 7 | ASEPL-SG | 551 |
| 8 | VOLCANO-ENGINE | 452 |
| 9 | FR-ONYPHE-20191111 | 448 |
| 10 | CENSY | 378 |
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 | 9474 |
| 2 | China | 3629 |
| 3 | Singapore | 862 |
| 4 | United Kingdom | 814 |
| 5 | Netherlands | 605 |
| 6 | Germany | 601 |
| 7 | France | 488 |
| 8 | Brazil | 396 |
| 9 | Hong Kong | 392 |
| 10 | Indonesia | 318 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 366970 |
| 2 | 2021 | 69023 |
| 3 | 300 | 58543 |
| 4 | 49322 | 50916 |
| 5 | 49222 | 45777 |
| 6 | 49422 | 45491 |
| 7 | 49122 | 45097 |
| 8 | 22021 | 39203 |
| 9 | 23 | 39042 |
| 10 | 100 | 33042 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1626 |
| 2 | MSFT | 1444 |
| 3 | INFRAWATCH | 1135 |
| 4 | GOOGLE-CLOUD | 1045 |
| 5 | PAN-22 | 960 |
| 6 | ASEPL-SG | 559 |
| 7 | VOLCANO-ENGINE | 457 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 374 |
| 10 | UCLOUD-HK | 246 |
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 | 8663 |
| 2 | China | 3422 |
| 3 | Singapore | 918 |
| 4 | United Kingdom | 883 |
| 5 | Netherlands | 597 |
| 6 | Germany | 545 |
| 7 | France | 511 |
| 8 | Hong Kong | 370 |
| 9 | Indonesia | 342 |
| 10 | Brazil | 339 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 270234 |
| 2 | 2021 | 62929 |
| 3 | 23 | 41170 |
| 4 | 1722 | 35376 |
| 5 | 1122 | 32407 |
| 6 | 10222 | 31622 |
| 7 | 4714 | 30123 |
| 8 | 5005 | 29576 |
| 9 | 5902 | 29204 |
| 10 | 222 | 27495 |