detection period: 2026-05-09 00:00-23:59 UTC
total number of suspected botnet IPs: 19696
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 18555
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 | 1434 |
| 2 | MSFT | 1415 |
| 3 | INFRAWATCH | 1157 |
| 4 | GOOGLE-CLOUD | 1020 |
| 5 | PAN-22 | 952 |
| 6 | ASEPL-SG | 493 |
| 7 | FR-ONYPHE-20191111 | 448 |
| 8 | CENSY | 371 |
| 9 | cloud | 311 |
| 10 | VOLCANO-ENGINE | 306 |
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 | 8462 |
| 2 | China | 2897 |
| 3 | United Kingdom | 855 |
| 4 | Singapore | 820 |
| 5 | Netherlands | 668 |
| 6 | France | 555 |
| 7 | Germany | 533 |
| 8 | India | 413 |
| 9 | Hong Kong | 370 |
| 10 | Brazil | 320 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5701 | 1179542 |
| 2 | 1840 | 872510 |
| 3 | 2109 | 385681 |
| 4 | 3265 | 363832 |
| 5 | 5900 | 318286 |
| 6 | 5581 | 271833 |
| 7 | 9997 | 161975 |
| 8 | 2210 | 138648 |
| 9 | 3379 | 124422 |
| 10 | 554 | 82045 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1430 |
| 2 | MSFT | 1408 |
| 3 | INFRAWATCH | 1102 |
| 4 | GOOGLE-CLOUD | 1032 |
| 5 | PAN-22 | 952 |
| 6 | ASEPL-SG | 465 |
| 7 | FR-ONYPHE-20191111 | 448 |
| 8 | CENSY | 367 |
| 9 | VOLCANO-ENGINE | 308 |
| 10 | cloud | 288 |
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 | 8456 |
| 2 | China | 3452 |
| 3 | United Kingdom | 798 |
| 4 | Singapore | 795 |
| 5 | Netherlands | 623 |
| 6 | France | 552 |
| 7 | Germany | 518 |
| 8 | India | 398 |
| 9 | Hong Kong | 388 |
| 10 | Brazil | 339 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 222724 |
| 2 | 2078 | 139145 |
| 3 | 554 | 128030 |
| 4 | 2210 | 103691 |
| 5 | 7777 | 85439 |
| 6 | 8000 | 82870 |
| 7 | 6001 | 77432 |
| 8 | 5432 | 73221 |
| 9 | 3306 | 57697 |
| 10 | 2231 | 51788 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1450 |
| 2 | MSFT | 1431 |
| 3 | GOOGLE-CLOUD | 1046 |
| 4 | INFRAWATCH | 1009 |
| 5 | PAN-22 | 954 |
| 6 | ASEPL-SG | 509 |
| 7 | FR-ONYPHE-20191111 | 448 |
| 8 | CENSY | 377 |
| 9 | cloud | 312 |
| 10 | VOLCANO-ENGINE | 309 |
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 | 9294 |
| 2 | China | 3798 |
| 3 | United Kingdom | 936 |
| 4 | Singapore | 773 |
| 5 | Netherlands | 569 |
| 6 | France | 564 |
| 7 | Germany | 562 |
| 8 | India | 394 |
| 9 | Hong Kong | 392 |
| 10 | Indonesia | 361 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 241545 |
| 2 | 2210 | 55508 |
| 3 | 2231 | 51767 |
| 4 | 2020 | 47132 |
| 5 | 23 | 45715 |
| 6 | 1122 | 45093 |
| 7 | 6001 | 36644 |
| 8 | 22 | 34650 |
| 9 | 2222 | 33256 |
| 10 | 7922 | 29587 |