detection period: 2026-04-28 00:00-23:59 UTC
total number of suspected botnet IPs: 20862
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 19562
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 | 1529 |
| 2 | MSFT | 1438 |
| 3 | GOOGLE-CLOUD | 1031 |
| 4 | PAN-22 | 955 |
| 5 | ASEPL-SG | 492 |
| 6 | FR-ONYPHE-20191111 | 400 |
| 7 | CENSY | 382 |
| 8 | VOLCANO-ENGINE | 332 |
| 9 | INFRAWATCH | 331 |
| 10 | UCLOUD-HK | 266 |
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 | 9090 |
| 2 | China | 3687 |
| 3 | United Kingdom | 1022 |
| 4 | Singapore | 712 |
| 5 | Germany | 532 |
| 6 | France | 518 |
| 7 | Netherlands | 502 |
| 8 | Brazil | 412 |
| 9 | Hong Kong | 369 |
| 10 | Indonesia | 343 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 523212 |
| 2 | 221 | 76914 |
| 3 | 2208 | 41100 |
| 4 | 8088 | 36821 |
| 5 | 22 | 32698 |
| 6 | 1122 | 25098 |
| 7 | 110 | 23259 |
| 8 | 8082 | 22095 |
| 9 | 3503 | 19768 |
| 10 | 5700 | 18120 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1558 |
| 2 | MSFT | 1470 |
| 3 | GOOGLE-CLOUD | 1046 |
| 4 | PAN-22 | 950 |
| 5 | ASEPL-SG | 516 |
| 6 | FR-ONYPHE-20191111 | 408 |
| 7 | CENSY | 377 |
| 8 | INFRAWATCH | 341 |
| 9 | VOLCANO-ENGINE | 328 |
| 10 | cloud | 328 |
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 | 8461 |
| 2 | China | 3613 |
| 3 | United Kingdom | 1004 |
| 4 | Singapore | 849 |
| 5 | France | 542 |
| 6 | Germany | 497 |
| 7 | Netherlands | 457 |
| 8 | Indonesia | 398 |
| 9 | Brazil | 381 |
| 10 | Hong Kong | 378 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 427329 |
| 2 | 7473 | 58093 |
| 3 | 5357 | 47430 |
| 4 | 9164 | 46909 |
| 5 | 2208 | 41718 |
| 6 | 4922 | 39986 |
| 7 | 8020 | 38776 |
| 8 | 1890 | 38355 |
| 9 | 9443 | 33069 |
| 10 | 22 | 30496 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1484 |
| 2 | MSFT | 1453 |
| 3 | GOOGLE-CLOUD | 1032 |
| 4 | PAN-22 | 953 |
| 5 | ASEPL-SG | 504 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 379 |
| 8 | INFRAWATCH | 342 |
| 9 | VOLCANO-ENGINE | 332 |
| 10 | cloud | 326 |
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 | 9131 |
| 2 | China | 3547 |
| 3 | United Kingdom | 1019 |
| 4 | Singapore | 729 |
| 5 | France | 579 |
| 6 | Germany | 552 |
| 7 | Netherlands | 497 |
| 8 | Hong Kong | 388 |
| 9 | Brazil | 376 |
| 10 | Indonesia | 308 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 7473 | 1090355 |
| 2 | 9164 | 883850 |
| 3 | 5900 | 425771 |
| 4 | 8153 | 368941 |
| 5 | 7787 | 315747 |
| 6 | 4092 | 250802 |
| 7 | 4030 | 188501 |
| 8 | 9559 | 185525 |
| 9 | 1871 | 171476 |
| 10 | 5357 | 151475 |