detection period: 2026-08-18 00:00-23:59 UTC
total number of suspected botnet IPs: 18087
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 17010
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 | INFRAWATCH | 1162 |
| 2 | AL-3 | 1125 |
| 3 | GOOGLE-CLOUD | 1030 |
| 4 | MSFT | 974 |
| 5 | PAN-22 | 962 |
| 6 | ASEPL-SG | 486 |
| 7 | FR-ONYPHE-20191111 | 480 |
| 8 | CENSY | 378 |
| 9 | UCLOUD-US | 257 |
| 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 | 8123 |
| 2 | China | 2824 |
| 3 | United Kingdom | 827 |
| 4 | Germany | 682 |
| 5 | Singapore | 595 |
| 6 | France | 566 |
| 7 | Netherlands | 548 |
| 8 | Hong Kong | 299 |
| 9 | Russian Federation | 237 |
| 10 | Argentina | 233 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 218648 |
| 2 | 2025 | 67307 |
| 3 | 8888 | 55699 |
| 4 | 7022 | 54448 |
| 5 | 2221 | 46640 |
| 6 | 1222 | 37396 |
| 7 | 1841 | 27056 |
| 8 | 2022 | 26963 |
| 9 | 3921 | 24387 |
| 10 | 2880 | 23081 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | INFRAWATCH | 1135 |
| 2 | AL-3 | 1061 |
| 3 | GOOGLE-CLOUD | 1033 |
| 4 | MSFT | 982 |
| 5 | PAN-22 | 960 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | ASEPL-SG | 382 |
| 8 | CENSY | 375 |
| 9 | UCLOUD-US | 254 |
| 10 | DE-ALPHA | 247 |
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 | 7687 |
| 2 | China | 2944 |
| 3 | Germany | 824 |
| 4 | United Kingdom | 784 |
| 5 | France | 568 |
| 6 | Netherlands | 549 |
| 7 | Singapore | 493 |
| 8 | Hong Kong | 322 |
| 9 | Argentina | 301 |
| 10 | Russian Federation | 262 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 203278 |
| 2 | 8888 | 68083 |
| 3 | 7022 | 54726 |
| 4 | 433 | 47219 |
| 5 | 1222 | 35721 |
| 6 | 2221 | 35241 |
| 7 | 6017 | 33662 |
| 8 | 4137 | 29951 |
| 9 | 12322 | 29675 |
| 10 | 3333 | 28639 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | GOOGLE-CLOUD | 1041 |
| 2 | AL-3 | 1027 |
| 3 | MSFT | 1024 |
| 4 | PAN-22 | 961 |
| 5 | INFRAWATCH | 921 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | CENSY | 377 |
| 8 | ASEPL-SG | 359 |
| 9 | UCLOUD-US | 241 |
| 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 | 8129 |
| 2 | China | 2975 |
| 3 | United Kingdom | 815 |
| 4 | Netherlands | 577 |
| 5 | France | 566 |
| 6 | Germany | 473 |
| 7 | Singapore | 455 |
| 8 | Hong Kong | 286 |
| 9 | Argentina | 276 |
| 10 | India | 238 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 181177 |
| 2 | 5555 | 50591 |
| 3 | 1652 | 41137 |
| 4 | 12322 | 36152 |
| 5 | 1111 | 35891 |
| 6 | 2000 | 34227 |
| 7 | 4137 | 32513 |
| 8 | 3333 | 31190 |
| 9 | 8888 | 31088 |
| 10 | 2959 | 30386 |