detection period: 2026-11-11 00:00-23:59 UTC
total number of suspected botnet IPs: 20869
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 19464
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 | 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 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1555 |
| 2 | GOOGLE-CLOUD | 1345 |
| 3 | AL-3 | 1233 |
| 4 | PAN-22 | 1059 |
| 5 | ASEPL-SG | 534 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | CENSY | 448 |
| 8 | DE-ALPHA | 394 |
| 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 | 9111 |
| 2 | China | 4502 |
| 3 | Singapore | 826 |
| 4 | France | 586 |
| 5 | Germany | 546 |
| 6 | Hong Kong | 361 |
| 7 | Netherlands | 347 |
| 8 | Brazil | 343 |
| 9 | Russian Federation | 333 |
| 10 | India | 300 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 437768 |
| 2 | 7722 | 87042 |
| 3 | 2210 | 83368 |
| 4 | 7022 | 55952 |
| 5 | 2234 | 49698 |
| 6 | 10000 | 38328 |
| 7 | 5022 | 36747 |
| 8 | 7801 | 24442 |
| 9 | 22 | 24384 |
| 10 | 662 | 22710 |