detection period: 2026-06-17 00:00-23:59 UTC
total number of suspected botnet IPs: 21723
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 20610
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 | 1492 |
| 2 | AL-3 | 1450 |
| 3 | INFRAWATCH | 1113 |
| 4 | GOOGLE-CLOUD | 1090 |
| 5 | PAN-22 | 960 |
| 6 | ASEPL-SG | 522 |
| 7 | VOLCANO-ENGINE | 484 |
| 8 | FR-ONYPHE-20191111 | 446 |
| 9 | CENSY | 381 |
| 10 | cloud | 316 |
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 | 9266 |
| 2 | China | 4367 |
| 3 | United Kingdom | 846 |
| 4 | Singapore | 783 |
| 5 | Netherlands | 625 |
| 6 | Germany | 551 |
| 7 | France | 485 |
| 8 | Hong Kong | 412 |
| 9 | South Korea | 376 |
| 10 | India | 357 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 150199 |
| 2 | 23 | 89925 |
| 3 | 1122 | 59024 |
| 4 | 54321 | 45443 |
| 5 | 9999 | 42221 |
| 6 | 9443 | 31161 |
| 7 | 8822 | 28306 |
| 8 | 22 | 28231 |
| 9 | 10000 | 26311 |
| 10 | 8015 | 21060 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1527 |
| 2 | AL-3 | 1492 |
| 3 | GOOGLE-CLOUD | 1096 |
| 4 | INFRAWATCH | 964 |
| 5 | PAN-22 | 963 |
| 6 | ASEPL-SG | 550 |
| 7 | VOLCANO-ENGINE | 499 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 380 |
| 10 | cloud | 362 |
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 | 10427 |
| 2 | China | 4346 |
| 3 | Singapore | 928 |
| 4 | United Kingdom | 775 |
| 5 | Netherlands | 613 |
| 6 | Germany | 591 |
| 7 | France | 507 |
| 8 | Hong Kong | 489 |
| 9 | India | 411 |
| 10 | South Korea | 353 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 152697 |
| 2 | 23 | 126642 |
| 3 | 1122 | 58718 |
| 4 | 1234 | 50749 |
| 5 | 54321 | 46520 |
| 6 | 202 | 42106 |
| 7 | 22 | 34324 |
| 8 | 8822 | 28332 |
| 9 | 8728 | 26110 |
| 10 | 10000 | 25315 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1467 |
| 2 | MSFT | 1391 |
| 3 | INFRAWATCH | 1126 |
| 4 | GOOGLE-CLOUD | 1049 |
| 5 | PAN-22 | 962 |
| 6 | ASEPL-SG | 677 |
| 7 | VOLCANO-ENGINE | 481 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 382 |
| 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 | 8031 |
| 2 | China | 3653 |
| 3 | Singapore | 1002 |
| 4 | United Kingdom | 815 |
| 5 | Netherlands | 562 |
| 6 | Germany | 533 |
| 7 | France | 502 |
| 8 | Hong Kong | 316 |
| 9 | Indonesia | 308 |
| 10 | South Korea | 297 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 130462 |
| 2 | 2269 | 65759 |
| 3 | 202 | 54479 |
| 4 | 1122 | 51505 |
| 5 | 54321 | 38104 |
| 6 | 22025 | 35695 |
| 7 | 22 | 29688 |
| 8 | 8822 | 27665 |
| 9 | 8728 | 27140 |
| 10 | 23122 | 24674 |