detection period: 2026-10-20 00:00-23:59 UTC
total number of suspected botnet IPs: 19928
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 18270
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 | 1500 |
| 2 | AL-3 | 1446 |
| 3 | GOOGLE-CLOUD | 1067 |
| 4 | PAN-22 | 909 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 480 |
| 7 | CENSY | 374 |
| 8 | ALISOFT | 279 |
| 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 | 9693 |
| 2 | China | 2836 |
| 3 | Singapore | 744 |
| 4 | France | 633 |
| 5 | United Kingdom | 586 |
| 6 | Hong Kong | 397 |
| 7 | Netherlands | 370 |
| 8 | South Korea | 302 |
| 9 | Brazil | 281 |
| 10 | Indonesia | 264 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 456985 |
| 2 | 212 | 67435 |
| 3 | 9204 | 48163 |
| 4 | 8000 | 42350 |
| 5 | 2095 | 41164 |
| 6 | 9922 | 39189 |
| 7 | 9443 | 37373 |
| 8 | 5357 | 34109 |
| 9 | 9201 | 33449 |
| 10 | 29 | 30904 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1546 |
| 2 | AL-3 | 1503 |
| 3 | GOOGLE-CLOUD | 1060 |
| 4 | PAN-22 | 910 |
| 5 | ASEPL-SG | 515 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | CENSY | 359 |
| 8 | ALISOFT | 270 |
| 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 | 9176 |
| 2 | China | 2902 |
| 3 | Singapore | 790 |
| 4 | France | 627 |
| 5 | United Kingdom | 550 |
| 6 | Hong Kong | 399 |
| 7 | Netherlands | 380 |
| 8 | South Korea | 297 |
| 9 | Indonesia | 274 |
| 10 | Brazil | 274 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 394207 |
| 2 | 9204 | 44480 |
| 3 | 9443 | 43258 |
| 4 | 9922 | 38726 |
| 5 | 2095 | 38478 |
| 6 | 555 | 38059 |
| 7 | 10 | 33843 |
| 8 | 5357 | 33804 |
| 9 | 29 | 33766 |
| 10 | 9201 | 31871 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1471 |
| 2 | AL-3 | 1298 |
| 3 | GOOGLE-CLOUD | 1055 |
| 4 | PAN-22 | 909 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 462 |
| 7 | CENSY | 362 |
| 8 | FR-ONYPHE-20221220 | 240 |
| 9 | FR-ONYPHE-20221109 | 240 |
| 10 | HURRICANE-4 | 224 |
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 | 9385 |
| 2 | China | 2760 |
| 3 | Singapore | 650 |
| 4 | France | 571 |
| 5 | United Kingdom | 504 |
| 6 | Netherlands | 370 |
| 7 | South Korea | 276 |
| 8 | Hong Kong | 265 |
| 9 | Russian Federation | 210 |
| 10 | Brazil | 192 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 360442 |
| 2 | 6000 | 76765 |
| 3 | 4 | 70413 |
| 4 | 9 | 67998 |
| 5 | 3 | 65526 |
| 6 | 5 | 64553 |
| 7 | 8 | 62819 |
| 8 | 1 | 62432 |
| 9 | 10 | 57622 |
| 10 | 2 | 56744 |