detection period: 2026-10-03 00:00-23:59 UTC
total number of suspected botnet IPs: 18422
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 17082
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 | 1504 |
| 2 | AL-3 | 1359 |
| 3 | GOOGLE-CLOUD | 1058 |
| 4 | PAN-22 | 950 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 467 |
| 7 | CENSY | 376 |
| 8 | DE-ALPHA | 327 |
| 9 | INFRAWATCH | 311 |
| 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 | 7960 |
| 2 | China | 3843 |
| 3 | United Kingdom | 671 |
| 4 | Singapore | 626 |
| 5 | France | 575 |
| 6 | Germany | 574 |
| 7 | Netherlands | 336 |
| 8 | Hong Kong | 231 |
| 9 | South Korea | 216 |
| 10 | Russian Federation | 204 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 149339 |
| 2 | 2095 | 52657 |
| 3 | 1023 | 47935 |
| 4 | 8020 | 34769 |
| 5 | 7094 | 30565 |
| 6 | 8030 | 29622 |
| 7 | 888 | 29549 |
| 8 | 23 | 28863 |
| 9 | 8025 | 28577 |
| 10 | 22 | 28421 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1486 |
| 2 | AL-3 | 1339 |
| 3 | GOOGLE-CLOUD | 1064 |
| 4 | PAN-22 | 950 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 461 |
| 7 | CENSY | 376 |
| 8 | INFRAWATCH | 334 |
| 9 | DE-ALPHA | 311 |
| 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 | 8518 |
| 2 | China | 3944 |
| 3 | United Kingdom | 698 |
| 4 | Singapore | 622 |
| 5 | Germany | 572 |
| 6 | France | 567 |
| 7 | Netherlands | 337 |
| 8 | Hong Kong | 310 |
| 9 | South Korea | 278 |
| 10 | Russian Federation | 234 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 145830 |
| 2 | 55555 | 104578 |
| 3 | 2095 | 46038 |
| 4 | 2022 | 35511 |
| 5 | 8020 | 33233 |
| 6 | 888 | 31741 |
| 7 | 23 | 30707 |
| 8 | 7094 | 30136 |
| 9 | 22 | 28992 |
| 10 | 8088 | 28481 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1512 |
| 2 | AL-3 | 1333 |
| 3 | GOOGLE-CLOUD | 1067 |
| 4 | PAN-22 | 950 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 459 |
| 7 | INFRAWATCH | 388 |
| 8 | CENSY | 375 |
| 9 | DE-ALPHA | 328 |
| 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 | 9054 |
| 2 | China | 4072 |
| 3 | United Kingdom | 779 |
| 4 | Singapore | 633 |
| 5 | France | 574 |
| 6 | Germany | 566 |
| 7 | Netherlands | 334 |
| 8 | South Korea | 290 |
| 9 | Hong Kong | 287 |
| 10 | Russian Federation | 256 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 202712 |
| 2 | 55555 | 135917 |
| 3 | 2095 | 49484 |
| 4 | 8020 | 31453 |
| 5 | 8027 | 31287 |
| 6 | 888 | 31181 |
| 7 | 7100 | 30217 |
| 8 | 7094 | 29132 |
| 9 | 8025 | 29097 |
| 10 | 22 | 27852 |