detection period: 2026-05-04 00:00-23:59 UTC
total number of suspected botnet IPs: 21411
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 19960
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 | AL-3 | 1579 |
| 2 | MSFT | 1454 |
| 3 | GOOGLE-CLOUD | 1023 |
| 4 | PAN-22 | 954 |
| 5 | INFRAWATCH | 748 |
| 6 | ASEPL-SG | 541 |
| 7 | FR-ONYPHE-20191111 | 448 |
| 8 | CENSY | 381 |
| 9 | VOLCANO-ENGINE | 308 |
| 10 | cloud | 303 |
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 | 9010 |
| 2 | China | 3761 |
| 3 | Singapore | 880 |
| 4 | United Kingdom | 854 |
| 5 | Netherlands | 585 |
| 6 | France | 564 |
| 7 | Brazil | 455 |
| 8 | India | 376 |
| 9 | Indonesia | 348 |
| 10 | Hong Kong | 331 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 419293 |
| 2 | 2209 | 54126 |
| 3 | 23 | 43051 |
| 4 | 450 | 38936 |
| 5 | 3014 | 36566 |
| 6 | 2280 | 35091 |
| 7 | 8821 | 32022 |
| 8 | 2222 | 29268 |
| 9 | 22 | 28994 |
| 10 | 1122 | 27074 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1545 |
| 2 | MSFT | 1463 |
| 3 | GOOGLE-CLOUD | 1041 |
| 4 | INFRAWATCH | 1001 |
| 5 | PAN-22 | 952 |
| 6 | ASEPL-SG | 545 |
| 7 | FR-ONYPHE-20191111 | 448 |
| 8 | CENSY | 375 |
| 9 | cloud | 335 |
| 10 | VOLCANO-ENGINE | 310 |
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 | 9713 |
| 2 | China | 3490 |
| 3 | Singapore | 925 |
| 4 | United Kingdom | 908 |
| 5 | Netherlands | 593 |
| 6 | France | 571 |
| 7 | Germany | 565 |
| 8 | Brazil | 484 |
| 9 | India | 357 |
| 10 | Hong Kong | 330 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 474450 |
| 2 | 7777 | 147065 |
| 3 | 58603 | 135049 |
| 4 | 23 | 87962 |
| 5 | 8821 | 72995 |
| 6 | 3306 | 72862 |
| 7 | 450 | 63842 |
| 8 | 5357 | 58961 |
| 9 | 2209 | 54121 |
| 10 | 2252 | 51267 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1490 |
| 2 | AL-3 | 1451 |
| 3 | INFRAWATCH | 1035 |
| 4 | GOOGLE-CLOUD | 1033 |
| 5 | PAN-22 | 954 |
| 6 | ASEPL-SG | 523 |
| 7 | FR-ONYPHE-20191111 | 448 |
| 8 | CENSY | 379 |
| 9 | cloud | 337 |
| 10 | VOLCANO-ENGINE | 321 |
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 | 8832 |
| 2 | China | 3555 |
| 3 | Singapore | 877 |
| 4 | United Kingdom | 871 |
| 5 | Germany | 646 |
| 6 | Netherlands | 591 |
| 7 | France | 577 |
| 8 | Brazil | 510 |
| 9 | India | 459 |
| 10 | Hong Kong | 334 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 487709 |
| 2 | 23 | 142035 |
| 3 | 7777 | 125922 |
| 4 | 58603 | 80778 |
| 5 | 8088 | 62554 |
| 6 | 2252 | 51265 |
| 7 | 8082 | 40174 |
| 8 | 51005 | 37866 |
| 9 | 11361 | 36255 |
| 10 | 2209 | 35092 |