detection period: 2026-05-07 00:00-23:59 UTC
total number of suspected botnet IPs: 21618
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 20413
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 | 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 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1481 |
| 2 | MSFT | 1417 |
| 3 | GOOGLE-CLOUD | 1027 |
| 4 | INFRAWATCH | 1014 |
| 5 | PAN-22 | 953 |
| 6 | ASEPL-SG | 499 |
| 7 | FR-ONYPHE-20191111 | 448 |
| 8 | CENSY | 375 |
| 9 | VOLCANO-ENGINE | 306 |
| 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 | 8436 |
| 2 | China | 3595 |
| 3 | United Kingdom | 876 |
| 4 | Singapore | 800 |
| 5 | Netherlands | 569 |
| 6 | France | 567 |
| 7 | Germany | 564 |
| 8 | India | 442 |
| 9 | Brazil | 388 |
| 10 | Hong Kong | 367 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 413872 |
| 2 | 2222 | 43769 |
| 3 | 2231 | 43023 |
| 4 | 22 | 42153 |
| 5 | 2209 | 41936 |
| 6 | 1122 | 40901 |
| 7 | 23 | 36120 |
| 8 | 622 | 31420 |
| 9 | 1919 | 29777 |
| 10 | 30 | 27165 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1570 |
| 2 | MSFT | 1455 |
| 3 | INFRAWATCH | 1015 |
| 4 | GOOGLE-CLOUD | 1014 |
| 5 | PAN-22 | 954 |
| 6 | ASEPL-SG | 546 |
| 7 | FR-ONYPHE-20191111 | 448 |
| 8 | CENSY | 377 |
| 9 | cloud | 321 |
| 10 | VOLCANO-ENGINE | 314 |
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 | 9586 |
| 2 | China | 3688 |
| 3 | Singapore | 873 |
| 4 | United Kingdom | 867 |
| 5 | Netherlands | 616 |
| 6 | Germany | 587 |
| 7 | France | 583 |
| 8 | India | 411 |
| 9 | Brazil | 388 |
| 10 | Hong Kong | 358 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 459548 |
| 2 | 2209 | 53517 |
| 3 | 3014 | 38860 |
| 4 | 23 | 37450 |
| 5 | 1122 | 36217 |
| 6 | 22 | 36165 |
| 7 | 2222 | 34731 |
| 8 | 4709 | 28937 |
| 9 | 7622 | 27438 |
| 10 | 2622 | 24403 |