detection period: 2026-11-03 00:00-23:59 UTC
total number of suspected botnet IPs: 22907
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 21229
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 | 1580 |
| 2 | AL-3 | 1320 |
| 3 | GOOGLE-CLOUD | 1169 |
| 4 | PAN-22 | 1050 |
| 5 | ASEPL-SG | 484 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | CENSY | 450 |
| 8 | Stella-IT-KRF | 253 |
| 9 | NET-45-133-173-0-24 | 253 |
| 10 | NET-2-57-17-0-24 | 253 |
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 | 10108 |
| 2 | China | 3712 |
| 3 | United Kingdom | 1021 |
| 4 | Singapore | 811 |
| 5 | France | 616 |
| 6 | Germany | 432 |
| 7 | India | 401 |
| 8 | Brazil | 395 |
| 9 | Hong Kong | 349 |
| 10 | Netherlands | 326 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 429929 |
| 2 | 5863 | 112166 |
| 3 | 7722 | 87269 |
| 4 | 1838 | 64702 |
| 5 | 2147 | 56720 |
| 6 | 2234 | 50425 |
| 7 | 1831 | 48370 |
| 8 | 8105 | 46491 |
| 9 | 2022 | 44369 |
| 10 | 52022 | 42626 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1579 |
| 2 | AL-3 | 1303 |
| 3 | GOOGLE-CLOUD | 1166 |
| 4 | PAN-22 | 1040 |
| 5 | ASEPL-SG | 498 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | CENSY | 459 |
| 8 | ACEVILLEPTELTD-SG | 242 |
| 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 | 9365 |
| 2 | China | 3218 |
| 3 | Singapore | 787 |
| 4 | France | 607 |
| 5 | India | 493 |
| 6 | Brazil | 388 |
| 7 | Russian Federation | 383 |
| 8 | Hong Kong | 358 |
| 9 | South Korea | 349 |
| 10 | United Kingdom | 344 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 365782 |
| 2 | 7722 | 87980 |
| 3 | 2234 | 50299 |
| 4 | 52022 | 49559 |
| 5 | 10000 | 48807 |
| 6 | 2022 | 48073 |
| 7 | 22 | 28810 |
| 8 | 1433 | 26612 |
| 9 | 2222 | 20536 |
| 10 | 10089 | 20322 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1569 |
| 2 | AL-3 | 1478 |
| 3 | GOOGLE-CLOUD | 1147 |
| 4 | PAN-22 | 1013 |
| 5 | ASEPL-SG | 537 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | CENSY | 459 |
| 8 | ACEVILLEPTELTD-SG | 258 |
| 9 | KORNET-KR | 242 |
| 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 | 10164 |
| 2 | China | 3131 |
| 3 | Singapore | 869 |
| 4 | United Kingdom | 755 |
| 5 | France | 605 |
| 6 | India | 397 |
| 7 | South Korea | 385 |
| 8 | Hong Kong | 358 |
| 9 | Brazil | 358 |
| 10 | Netherlands | 339 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 350071 |
| 2 | 7722 | 87765 |
| 3 | 8090 | 66660 |
| 4 | 10000 | 56326 |
| 5 | 2022 | 53204 |
| 6 | 2234 | 53074 |
| 7 | 52022 | 49873 |
| 8 | 8118 | 46627 |
| 9 | 224 | 44634 |
| 10 | 3148 | 38798 |