detection period: 2026-11-12 00:00-23:59 UTC
total number of suspected botnet IPs: 22925
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 21298
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 | 1661 |
| 2 | GOOGLE-CLOUD | 1281 |
| 3 | PAN-22 | 1054 |
| 4 | AL-3 | 769 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | CENSY | 438 |
| 7 | DE-ALPHA | 331 |
| 8 | ASEPL-SG | 322 |
| 9 | CMNET | 300 |
| 10 | KORNET-KR | 293 |
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 | 9976 |
| 2 | China | 4875 |
| 3 | France | 585 |
| 4 | Germany | 508 |
| 5 | Singapore | 505 |
| 6 | South Korea | 449 |
| 7 | Netherlands | 417 |
| 8 | India | 394 |
| 9 | Hong Kong | 392 |
| 10 | Russian Federation | 374 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 289813 |
| 2 | 7022 | 58452 |
| 3 | 9322 | 53632 |
| 4 | 2234 | 53156 |
| 5 | 5022 | 38411 |
| 6 | 5901 | 30342 |
| 7 | 8105 | 28475 |
| 8 | 22 | 27453 |
| 9 | 8444 | 26486 |
| 10 | 7801 | 23761 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1592 |
| 2 | GOOGLE-CLOUD | 1270 |
| 3 | PAN-22 | 1051 |
| 4 | AL-3 | 787 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | CENSY | 446 |
| 7 | DE-ALPHA | 384 |
| 8 | ASEPL-SG | 298 |
| 9 | CMNET | 251 |
| 10 | FR-ONYPHE-20221220 | 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 | 8489 |
| 2 | China | 5351 |
| 3 | France | 591 |
| 4 | Singapore | 573 |
| 5 | Germany | 557 |
| 6 | Hong Kong | 395 |
| 7 | Netherlands | 318 |
| 8 | South Korea | 295 |
| 9 | Brazil | 284 |
| 10 | Russian Federation | 283 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 336695 |
| 2 | 7022 | 57430 |
| 3 | 2234 | 53708 |
| 4 | 2210 | 45789 |
| 5 | 5022 | 43537 |
| 6 | 5901 | 26566 |
| 7 | 222 | 25696 |
| 8 | 3333 | 25111 |
| 9 | 1809 | 24524 |
| 10 | 1808 | 24252 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1587 |
| 2 | GOOGLE-CLOUD | 1294 |
| 3 | PAN-22 | 1055 |
| 4 | AL-3 | 882 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | CENSY | 446 |
| 7 | DE-ALPHA | 374 |
| 8 | ASEPL-SG | 326 |
| 9 | CMNET | 246 |
| 10 | FR-ONYPHE-20221220 | 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 | 9647 |
| 2 | China | 4917 |
| 3 | Singapore | 617 |
| 4 | France | 592 |
| 5 | Germany | 560 |
| 6 | Hong Kong | 397 |
| 7 | Netherlands | 378 |
| 8 | India | 335 |
| 9 | Brazil | 328 |
| 10 | Russian Federation | 326 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 369538 |
| 2 | 2210 | 89975 |
| 3 | 7722 | 87082 |
| 4 | 7022 | 57262 |
| 5 | 2234 | 50994 |
| 6 | 5022 | 37404 |
| 7 | 10000 | 32307 |
| 8 | 222 | 30423 |
| 9 | 1809 | 27199 |
| 10 | 1808 | 24384 |