detection period: 2026-06-29 00:00-23:59 UTC
total number of suspected botnet IPs: 20945
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 19767
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 | 1436 |
| 2 | MSFT | 1429 |
| 3 | GOOGLE-CLOUD | 1066 |
| 4 | PAN-22 | 962 |
| 5 | INFRAWATCH | 840 |
| 6 | ASEPL-SG | 559 |
| 7 | VOLCANO-ENGINE | 489 |
| 8 | FR-ONYPHE-20191111 | 400 |
| 9 | CENSY | 378 |
| 10 | DE-ALPHA | 345 |
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 | 8736 |
| 2 | China | 3947 |
| 3 | Singapore | 831 |
| 4 | United Kingdom | 741 |
| 5 | Germany | 629 |
| 6 | France | 602 |
| 7 | Netherlands | 574 |
| 8 | India | 375 |
| 9 | Hong Kong | 340 |
| 10 | Indonesia | 337 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 51248 |
| 2 | 4464 | 37941 |
| 3 | 12409 | 28770 |
| 4 | 9443 | 24264 |
| 5 | 3306 | 23752 |
| 6 | 7194 | 22506 |
| 7 | 888 | 20608 |
| 8 | 8712 | 20517 |
| 9 | 23 | 19756 |
| 10 | 8015 | 19539 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1455 |
| 2 | MSFT | 1433 |
| 3 | GOOGLE-CLOUD | 1048 |
| 4 | PAN-22 | 963 |
| 5 | INFRAWATCH | 779 |
| 6 | ASEPL-SG | 592 |
| 7 | VOLCANO-ENGINE | 454 |
| 8 | FR-ONYPHE-20191111 | 400 |
| 9 | CENSY | 377 |
| 10 | DE-ALPHA | 320 |
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 | 8961 |
| 2 | China | 3797 |
| 3 | Singapore | 785 |
| 4 | Germany | 632 |
| 5 | United Kingdom | 622 |
| 6 | Netherlands | 574 |
| 7 | France | 554 |
| 8 | Hong Kong | 313 |
| 9 | South Korea | 296 |
| 10 | India | 277 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 14069 | 91356 |
| 2 | 4179 | 80079 |
| 3 | 5357 | 75610 |
| 4 | 7777 | 75211 |
| 5 | 5900 | 72396 |
| 6 | 3306 | 65641 |
| 7 | 13593 | 58091 |
| 8 | 9443 | 51496 |
| 9 | 8088 | 47721 |
| 10 | 2095 | 46742 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1419 |
| 2 | MSFT | 1400 |
| 3 | GOOGLE-CLOUD | 1049 |
| 4 | PAN-22 | 958 |
| 5 | INFRAWATCH | 868 |
| 6 | ASEPL-SG | 592 |
| 7 | VOLCANO-ENGINE | 452 |
| 8 | FR-ONYPHE-20191111 | 411 |
| 9 | CENSY | 378 |
| 10 | cloud | 339 |
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 | 8036 |
| 2 | China | 3829 |
| 3 | Singapore | 768 |
| 4 | United Kingdom | 636 |
| 5 | Germany | 607 |
| 6 | Netherlands | 572 |
| 7 | France | 511 |
| 8 | South Korea | 327 |
| 9 | Hong Kong | 307 |
| 10 | India | 281 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 2272 | 117114 |
| 2 | 7777 | 114462 |
| 3 | 5900 | 92461 |
| 4 | 5357 | 66704 |
| 5 | 1122 | 56442 |
| 6 | 2095 | 53989 |
| 7 | 3306 | 53801 |
| 8 | 9443 | 50604 |
| 9 | 8015 | 48316 |
| 10 | 58603 | 47563 |