detection period: 2026-04-27 00:00-23:59 UTC
total number of suspected botnet IPs: 19945
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 18873
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 | 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 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1516 |
| 2 | MSFT | 1461 |
| 3 | GOOGLE-CLOUD | 1007 |
| 4 | PAN-22 | 953 |
| 5 | CLOUDFLARENET | 727 |
| 6 | ASEPL-SG | 528 |
| 7 | FR-ONYPHE-20191111 | 448 |
| 8 | CENSY | 375 |
| 9 | VOLCANO-ENGINE | 314 |
| 10 | cloud | 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 | 8995 |
| 2 | China | 3557 |
| 3 | United Kingdom | 1013 |
| 4 | Singapore | 837 |
| 5 | France | 569 |
| 6 | Netherlands | 448 |
| 7 | Hong Kong | 371 |
| 8 | Indonesia | 347 |
| 9 | India | 296 |
| 10 | Brazil | 271 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 358994 |
| 2 | 7473 | 283595 |
| 3 | 4092 | 275193 |
| 4 | 9164 | 210557 |
| 5 | 25900 | 189419 |
| 6 | 8153 | 188548 |
| 7 | 1871 | 186305 |
| 8 | 6689 | 186070 |
| 9 | 1890 | 160476 |
| 10 | 5356 | 144340 |