detection period: 2026-09-11 00:00-23:59 UTC
total number of suspected botnet IPs: 18165
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 17156
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 | MSFT | 1376 |
| 2 | AL-3 | 1284 |
| 3 | INFRAWATCH | 1137 |
| 4 | GOOGLE-CLOUD | 1040 |
| 5 | PAN-22 | 960 |
| 6 | ASEPL-SG | 580 |
| 7 | FR-ONYPHE-20191111 | 480 |
| 8 | CENSY | 374 |
| 9 | FR-ONYPHE-20221220 | 240 |
| 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 | 7912 |
| 2 | China | 3151 |
| 3 | United Kingdom | 774 |
| 4 | Germany | 760 |
| 5 | Singapore | 699 |
| 6 | France | 558 |
| 7 | Netherlands | 556 |
| 8 | Hong Kong | 342 |
| 9 | Russian Federation | 248 |
| 10 | India | 225 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 224995 |
| 2 | 7981 | 83695 |
| 3 | 2299 | 81115 |
| 4 | 2987 | 63781 |
| 5 | 3137 | 63563 |
| 6 | 58888 | 59695 |
| 7 | 8443 | 59632 |
| 8 | 20088 | 55585 |
| 9 | 3455 | 45739 |
| 10 | 2095 | 43100 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1371 |
| 2 | INFRAWATCH | 1125 |
| 3 | GOOGLE-CLOUD | 1042 |
| 4 | AL-3 | 1000 |
| 5 | PAN-22 | 956 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | ASEPL-SG | 395 |
| 8 | CENSY | 383 |
| 9 | FR-ONYPHE-20221220 | 240 |
| 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 | 8597 |
| 2 | China | 4001 |
| 3 | United Kingdom | 785 |
| 4 | Germany | 772 |
| 5 | Singapore | 568 |
| 6 | France | 563 |
| 7 | Netherlands | 552 |
| 8 | Hong Kong | 373 |
| 9 | Russian Federation | 259 |
| 10 | India | 236 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 3137 | 164834 |
| 2 | 2299 | 103632 |
| 3 | 5900 | 101830 |
| 4 | 58888 | 78749 |
| 5 | 20088 | 71963 |
| 6 | 2095 | 61837 |
| 7 | 4302 | 56164 |
| 8 | 20054 | 47846 |
| 9 | 7981 | 31673 |
| 10 | 3222 | 30907 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1376 |
| 2 | AL-3 | 1176 |
| 3 | GOOGLE-CLOUD | 1044 |
| 4 | PAN-22 | 957 |
| 5 | INFRAWATCH | 593 |
| 6 | ASEPL-SG | 494 |
| 7 | FR-ONYPHE-20191111 | 480 |
| 8 | CENSY | 376 |
| 9 | FR-ONYPHE-20221220 | 240 |
| 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 | 8266 |
| 2 | China | 3857 |
| 3 | United Kingdom | 676 |
| 4 | Singapore | 671 |
| 5 | France | 581 |
| 6 | Germany | 557 |
| 7 | Netherlands | 496 |
| 8 | Hong Kong | 338 |
| 9 | Russian Federation | 314 |
| 10 | India | 290 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 120598 |
| 2 | 8000 | 53170 |
| 3 | 2229 | 52982 |
| 4 | 5409 | 46874 |
| 5 | 8001 | 43807 |
| 6 | 3011 | 42660 |
| 7 | 9612 | 36613 |
| 8 | 9922 | 35921 |
| 9 | 3033 | 33251 |
| 10 | 2718 | 32702 |