detection period: 2026-10-13 00:00-23:59 UTC
total number of suspected botnet IPs: 18669
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 17339
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 | 1384 |
| 2 | AL-3 | 1214 |
| 3 | GOOGLE-CLOUD | 1055 |
| 4 | PAN-22 | 915 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 443 |
| 7 | CENSY | 372 |
| 8 | FR-ONYPHE-20221220 | 240 |
| 9 | FR-ONYPHE-20221109 | 240 |
| 10 | CMNET | 227 |
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 | 8922 |
| 2 | China | 3464 |
| 3 | Singapore | 667 |
| 4 | France | 563 |
| 5 | United Kingdom | 508 |
| 6 | Hong Kong | 361 |
| 7 | Netherlands | 323 |
| 8 | South Korea | 273 |
| 9 | Russian Federation | 233 |
| 10 | India | 223 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 471329 |
| 2 | 2095 | 56966 |
| 3 | 26 | 44508 |
| 4 | 444 | 39665 |
| 5 | 2020 | 36112 |
| 6 | 1463 | 32657 |
| 7 | 12222 | 30629 |
| 8 | 7777 | 27204 |
| 9 | 9011 | 25262 |
| 10 | 27 | 23665 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1489 |
| 2 | AL-3 | 1301 |
| 3 | GOOGLE-CLOUD | 1049 |
| 4 | PAN-22 | 924 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 422 |
| 7 | CENSY | 372 |
| 8 | FR-ONYPHE-20221220 | 240 |
| 9 | FR-ONYPHE-20221109 | 240 |
| 10 | CMNET | 230 |
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 | 8648 |
| 2 | China | 2811 |
| 3 | Singapore | 637 |
| 4 | United Kingdom | 611 |
| 5 | France | 568 |
| 6 | Netherlands | 367 |
| 7 | Hong Kong | 345 |
| 8 | South Korea | 279 |
| 9 | India | 263 |
| 10 | Russian Federation | 258 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 402614 |
| 2 | 26 | 72812 |
| 3 | 2095 | 57855 |
| 4 | 444 | 40775 |
| 5 | 2020 | 35939 |
| 6 | 1463 | 31395 |
| 7 | 7777 | 23030 |
| 8 | 8088 | 21914 |
| 9 | 22 | 18720 |
| 10 | 4117 | 18165 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1393 |
| 2 | AL-3 | 1236 |
| 3 | GOOGLE-CLOUD | 1067 |
| 4 | PAN-22 | 923 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 454 |
| 7 | CENSY | 366 |
| 8 | FR-ONYPHE-20221220 | 240 |
| 9 | FR-ONYPHE-20221109 | 240 |
| 10 | CMNET | 229 |
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 | 8700 |
| 2 | China | 2732 |
| 3 | Singapore | 672 |
| 4 | United Kingdom | 652 |
| 5 | France | 563 |
| 6 | Hong Kong | 328 |
| 7 | Netherlands | 303 |
| 8 | South Korea | 289 |
| 9 | India | 205 |
| 10 | Russian Federation | 198 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 388560 |
| 2 | 1463 | 74120 |
| 3 | 2095 | 63009 |
| 4 | 4034 | 44938 |
| 5 | 4117 | 43611 |
| 6 | 2020 | 42012 |
| 7 | 1824 | 37873 |
| 8 | 12022 | 34184 |
| 9 | 2482 | 33072 |
| 10 | 8088 | 30638 |