detection period: 2026-08-12 00:00-23:59 UTC
total number of suspected botnet IPs: 17905
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 16966
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 | 1171 |
| 2 | GOOGLE-CLOUD | 1047 |
| 3 | AL-3 | 1014 |
| 4 | MSFT | 966 |
| 5 | PAN-22 | 960 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | ASEPL-SG | 379 |
| 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 | 7582 |
| 2 | China | 2899 |
| 3 | United Kingdom | 817 |
| 4 | Germany | 773 |
| 5 | Netherlands | 582 |
| 6 | France | 568 |
| 7 | Singapore | 455 |
| 8 | Ukraine | 420 |
| 9 | Russian Federation | 299 |
| 10 | Hong Kong | 273 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 247732 |
| 2 | 8090 | 78041 |
| 3 | 444 | 69972 |
| 4 | 9999 | 64985 |
| 5 | 22951 | 63353 |
| 6 | 20010 | 62569 |
| 7 | 27999 | 52650 |
| 8 | 6007 | 51376 |
| 9 | 1797 | 48161 |
| 10 | 3005 | 48019 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | INFRAWATCH | 1161 |
| 2 | MSFT | 1111 |
| 3 | GOOGLE-CLOUD | 1033 |
| 4 | PAN-22 | 962 |
| 5 | AL-3 | 892 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | CENSY | 371 |
| 8 | ASEPL-SG | 351 |
| 9 | cloud | 253 |
| 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 | 8354 |
| 2 | China | 2762 |
| 3 | United Kingdom | 800 |
| 4 | Germany | 772 |
| 5 | Netherlands | 581 |
| 6 | France | 579 |
| 7 | Singapore | 461 |
| 8 | Russian Federation | 310 |
| 9 | Hong Kong | 296 |
| 10 | Ukraine | 287 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 78296 |
| 2 | 8111 | 73261 |
| 3 | 9999 | 67303 |
| 4 | 6006 | 43734 |
| 5 | 8011 | 43039 |
| 6 | 12322 | 38928 |
| 7 | 19922 | 37557 |
| 8 | 8090 | 28985 |
| 9 | 2578 | 28641 |
| 10 | 6007 | 28089 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1302 |
| 2 | INFRAWATCH | 1057 |
| 3 | GOOGLE-CLOUD | 1042 |
| 4 | AL-3 | 1021 |
| 5 | PAN-22 | 963 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 375 |
| 8 | ASEPL-SG | 346 |
| 9 | FR-ONYPHE-20221109 | 240 |
| 10 | DE-ALPHA | 235 |
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 | 7612 |
| 2 | China | 2666 |
| 3 | Germany | 712 |
| 4 | United Kingdom | 705 |
| 5 | France | 531 |
| 6 | Netherlands | 515 |
| 7 | Singapore | 469 |
| 8 | Hong Kong | 305 |
| 9 | Ukraine | 303 |
| 10 | Russian Federation | 297 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 72442 |
| 2 | 8123 | 59315 |
| 3 | 6006 | 41539 |
| 4 | 8011 | 33420 |
| 5 | 9999 | 26429 |
| 6 | 22 | 20024 |
| 7 | 8822 | 19573 |
| 8 | 23 | 19366 |
| 9 | 8322 | 15866 |
| 10 | 389 | 15098 |