detection period: 2026-08-15 00:00-23:59 UTC
total number of suspected botnet IPs: 17374
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 16448
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 | 1126 |
| 2 | GOOGLE-CLOUD | 1044 |
| 3 | AL-3 | 1025 |
| 4 | MSFT | 1017 |
| 5 | PAN-22 | 962 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | CENSY | 377 |
| 8 | ASEPL-SG | 370 |
| 9 | UCLOUD-US | 263 |
| 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 | 7348 |
| 2 | China | 3055 |
| 3 | Germany | 795 |
| 4 | United Kingdom | 739 |
| 5 | France | 564 |
| 6 | Netherlands | 559 |
| 7 | Singapore | 480 |
| 8 | Argentina | 329 |
| 9 | Hong Kong | 303 |
| 10 | Russian Federation | 242 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 225538 |
| 2 | 9999 | 75803 |
| 3 | 8090 | 66212 |
| 4 | 5555 | 51544 |
| 5 | 7777 | 46530 |
| 6 | 12322 | 44302 |
| 7 | 1797 | 42855 |
| 8 | 2567 | 39298 |
| 9 | 6699 | 39220 |
| 10 | 4120 | 36647 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | INFRAWATCH | 1163 |
| 2 | AL-3 | 1089 |
| 3 | GOOGLE-CLOUD | 1033 |
| 4 | MSFT | 972 |
| 5 | PAN-22 | 962 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | ASEPL-SG | 451 |
| 8 | CENSY | 377 |
| 9 | CMNET | 258 |
| 10 | UCLOUD-US | 245 |
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 | 7518 |
| 2 | China | 3207 |
| 3 | United Kingdom | 807 |
| 4 | Germany | 696 |
| 5 | Netherlands | 571 |
| 6 | France | 570 |
| 7 | Singapore | 548 |
| 8 | Argentina | 311 |
| 9 | Hong Kong | 310 |
| 10 | Russian Federation | 277 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 226167 |
| 2 | 9999 | 72776 |
| 3 | 8090 | 67695 |
| 4 | 7777 | 52356 |
| 5 | 1797 | 47401 |
| 6 | 2567 | 46389 |
| 7 | 5322 | 43759 |
| 8 | 6699 | 40304 |
| 9 | 4120 | 38491 |
| 10 | 1287 | 38463 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | GOOGLE-CLOUD | 1048 |
| 2 | INFRAWATCH | 1046 |
| 3 | AL-3 | 1019 |
| 4 | PAN-22 | 960 |
| 5 | MSFT | 878 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | ASEPL-SG | 397 |
| 8 | CENSY | 375 |
| 9 | CMNET | 249 |
| 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 | 7979 |
| 2 | China | 3148 |
| 3 | Germany | 718 |
| 4 | United Kingdom | 660 |
| 5 | Netherlands | 589 |
| 6 | France | 581 |
| 7 | Singapore | 466 |
| 8 | Ukraine | 340 |
| 9 | Argentina | 308 |
| 10 | Hong Kong | 294 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 217707 |
| 2 | 8090 | 71650 |
| 3 | 444 | 69999 |
| 4 | 22951 | 64522 |
| 5 | 9999 | 62262 |
| 6 | 20010 | 62255 |
| 7 | 27999 | 54477 |
| 8 | 7777 | 50085 |
| 9 | 1797 | 48531 |
| 10 | 2567 | 46172 |