detection period: 2026-09-14 00:00-23:59 UTC
total number of suspected botnet IPs: 18065
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 17148
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 | 1489 |
| 2 | AL-3 | 1329 |
| 3 | INFRAWATCH | 1134 |
| 4 | GOOGLE-CLOUD | 1047 |
| 5 | PAN-22 | 954 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | ASEPL-SG | 473 |
| 8 | CENSY | 365 |
| 9 | DE-ALPHA | 319 |
| 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 | 8220 |
| 2 | China | 2706 |
| 3 | Germany | 825 |
| 4 | United Kingdom | 773 |
| 5 | Singapore | 645 |
| 6 | France | 573 |
| 7 | Netherlands | 536 |
| 8 | Hong Kong | 323 |
| 9 | Russian Federation | 246 |
| 10 | Indonesia | 226 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 168439 |
| 2 | 10001 | 157389 |
| 3 | 444 | 49991 |
| 4 | 3122 | 43074 |
| 5 | 2122 | 42952 |
| 6 | 333 | 32520 |
| 7 | 8008 | 29499 |
| 8 | 1111 | 26296 |
| 9 | 2254 | 26025 |
| 10 | 122 | 24867 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1375 |
| 2 | AL-3 | 1364 |
| 3 | INFRAWATCH | 1151 |
| 4 | GOOGLE-CLOUD | 1049 |
| 5 | PAN-22 | 957 |
| 6 | ASEPL-SG | 491 |
| 7 | FR-ONYPHE-20191111 | 480 |
| 8 | CENSY | 373 |
| 9 | DE-ALPHA | 346 |
| 10 | cloud | 254 |
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 | 8914 |
| 2 | China | 3043 |
| 3 | Germany | 856 |
| 4 | United Kingdom | 777 |
| 5 | Singapore | 651 |
| 6 | France | 541 |
| 7 | Netherlands | 532 |
| 8 | Hong Kong | 315 |
| 9 | Russian Federation | 245 |
| 10 | South Korea | 184 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 251929 |
| 2 | 3736 | 59175 |
| 3 | 2636 | 50745 |
| 4 | 5055 | 47751 |
| 5 | 2883 | 46572 |
| 6 | 8007 | 42802 |
| 7 | 4010 | 42219 |
| 8 | 1723 | 40746 |
| 9 | 5637 | 40742 |
| 10 | 144 | 39876 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1381 |
| 2 | AL-3 | 1317 |
| 3 | GOOGLE-CLOUD | 1046 |
| 4 | INFRAWATCH | 1027 |
| 5 | PAN-22 | 953 |
| 6 | ASEPL-SG | 505 |
| 7 | FR-ONYPHE-20191111 | 480 |
| 8 | CENSY | 372 |
| 9 | DE-ALPHA | 316 |
| 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 | 7930 |
| 2 | China | 2933 |
| 3 | Germany | 830 |
| 4 | United Kingdom | 670 |
| 5 | Singapore | 651 |
| 6 | France | 565 |
| 7 | Netherlands | 524 |
| 8 | Hong Kong | 352 |
| 9 | Russian Federation | 315 |
| 10 | India | 237 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 263270 |
| 2 | 2299 | 100984 |
| 3 | 20088 | 68763 |
| 4 | 522 | 60654 |
| 5 | 58888 | 59506 |
| 6 | 9374 | 58980 |
| 7 | 3137 | 48402 |
| 8 | 2095 | 47735 |
| 9 | 444 | 44355 |
| 10 | 1136 | 43407 |