detection period: 2026-09-09 00:00-23:59 UTC
total number of suspected botnet IPs: 19958
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 18714
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 | 1376 |
| 2 | AL-3 | 1176 |
| 3 | GOOGLE-CLOUD | 1044 |
| 4 | PAN-22 | 957 |
| 5 | INFRAWATCH | 593 |
| 6 | ASEPL-SG | 494 |
| 7 | FR-ONYPHE-20191111 | 480 |
| 8 | CENSY | 376 |
| 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 | 8266 |
| 2 | China | 3857 |
| 3 | United Kingdom | 676 |
| 4 | Singapore | 671 |
| 5 | France | 581 |
| 6 | Germany | 557 |
| 7 | Netherlands | 496 |
| 8 | Hong Kong | 338 |
| 9 | Russian Federation | 314 |
| 10 | India | 290 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 120598 |
| 2 | 8000 | 53170 |
| 3 | 2229 | 52982 |
| 4 | 5409 | 46874 |
| 5 | 8001 | 43807 |
| 6 | 3011 | 42660 |
| 7 | 9612 | 36613 |
| 8 | 9922 | 35921 |
| 9 | 3033 | 33251 |
| 10 | 2718 | 32702 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1344 |
| 2 | AL-3 | 1322 |
| 3 | GOOGLE-CLOUD | 1048 |
| 4 | PAN-22 | 956 |
| 5 | INFRAWATCH | 903 |
| 6 | ASEPL-SG | 511 |
| 7 | FR-ONYPHE-20191111 | 480 |
| 8 | CENSY | 366 |
| 9 | DE-ALPHA | 276 |
| 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 | 8707 |
| 2 | China | 2935 |
| 3 | Germany | 788 |
| 4 | Singapore | 680 |
| 5 | United Kingdom | 629 |
| 6 | France | 551 |
| 7 | Netherlands | 537 |
| 8 | Hong Kong | 316 |
| 9 | Russian Federation | 238 |
| 10 | Indonesia | 208 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 168301 |
| 2 | 2229 | 118617 |
| 3 | 2222 | 64973 |
| 4 | 515 | 61176 |
| 5 | 2337 | 57438 |
| 6 | 22323 | 55888 |
| 7 | 2252 | 52641 |
| 8 | 3011 | 43121 |
| 9 | 8000 | 38587 |
| 10 | 9922 | 38254 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1403 |
| 2 | AL-3 | 1315 |
| 3 | GOOGLE-CLOUD | 1047 |
| 4 | INFRAWATCH | 986 |
| 5 | PAN-22 | 955 |
| 6 | ASEPL-SG | 497 |
| 7 | FR-ONYPHE-20191111 | 480 |
| 8 | CENSY | 359 |
| 9 | DE-ALPHA | 305 |
| 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 | 8173 |
| 2 | China | 2688 |
| 3 | Germany | 816 |
| 4 | Singapore | 655 |
| 5 | United Kingdom | 647 |
| 6 | France | 551 |
| 7 | Netherlands | 533 |
| 8 | Hong Kong | 313 |
| 9 | Russian Federation | 273 |
| 10 | Indonesia | 226 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 136972 |
| 2 | 2222 | 36594 |
| 3 | 2254 | 22637 |
| 4 | 9922 | 22626 |
| 5 | 2229 | 21952 |
| 6 | 7822 | 20292 |
| 7 | 318 | 19462 |
| 8 | 1322 | 18313 |
| 9 | 22 | 18255 |
| 10 | 278 | 17736 |