detection period: 2026-07-23 00:00-23:59 UTC
total number of suspected botnet IPs: 18389
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 17317
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 | 1456 |
| 2 | GOOGLE-CLOUD | 1045 |
| 3 | AL-3 | 1028 |
| 4 | PAN-22 | 963 |
| 5 | INFRAWATCH | 904 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | ASEPL-SG | 380 |
| 8 | CENSY | 378 |
| 9 | cloud | 289 |
| 10 | DE-ALPHA | 243 |
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 | 8251 |
| 2 | China | 3210 |
| 3 | United Kingdom | 1272 |
| 4 | Netherlands | 586 |
| 5 | Germany | 493 |
| 6 | Singapore | 492 |
| 7 | France | 415 |
| 8 | European Union | 255 |
| 9 | Hong Kong | 240 |
| 10 | Russian Federation | 232 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 2266 | 42694 |
| 2 | 5900 | 39967 |
| 3 | 8022 | 39168 |
| 4 | 1022 | 31134 |
| 5 | 622 | 29698 |
| 6 | 4722 | 29256 |
| 7 | 22 | 28530 |
| 8 | 5922 | 28523 |
| 9 | 322 | 27850 |
| 10 | 2022 | 27817 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1535 |
| 2 | INFRAWATCH | 1097 |
| 3 | GOOGLE-CLOUD | 1046 |
| 4 | AL-3 | 1006 |
| 5 | PAN-22 | 961 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 380 |
| 8 | ASEPL-SG | 344 |
| 9 | cloud | 335 |
| 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 | 7792 |
| 2 | China | 3995 |
| 3 | United Kingdom | 1226 |
| 4 | Germany | 645 |
| 5 | Netherlands | 526 |
| 6 | Singapore | 461 |
| 7 | France | 440 |
| 8 | Hong Kong | 262 |
| 9 | India | 243 |
| 10 | European Union | 212 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 71969 |
| 2 | 2266 | 43899 |
| 3 | 2022 | 28959 |
| 4 | 622 | 28855 |
| 5 | 4722 | 28726 |
| 6 | 322 | 27458 |
| 7 | 9122 | 26342 |
| 8 | 1622 | 26210 |
| 9 | 22 | 26129 |
| 10 | 9822 | 26120 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1346 |
| 2 | AL-3 | 1113 |
| 3 | INFRAWATCH | 1078 |
| 4 | GOOGLE-CLOUD | 1040 |
| 5 | PAN-22 | 960 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 380 |
| 8 | ASEPL-SG | 349 |
| 9 | cloud | 275 |
| 10 | CMNET | 244 |
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 | 4009 |
| 3 | United Kingdom | 1189 |
| 4 | Germany | 651 |
| 5 | Netherlands | 537 |
| 6 | Singapore | 458 |
| 7 | France | 402 |
| 8 | Hong Kong | 241 |
| 9 | South Korea | 205 |
| 10 | European Union | 193 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 69034 |
| 2 | 5422 | 49256 |
| 3 | 2266 | 46406 |
| 4 | 1122 | 32181 |
| 5 | 9222 | 30604 |
| 6 | 6522 | 30276 |
| 7 | 4722 | 28202 |
| 8 | 622 | 27693 |
| 9 | 2022 | 27689 |
| 10 | 1622 | 27120 |