detection period: 2026-10-17 00:00-23:59 UTC
total number of suspected botnet IPs: 16569
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 15159
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 | 1211 |
| 3 | GOOGLE-CLOUD | 1059 |
| 4 | PAN-22 | 911 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 436 |
| 7 | CENSY | 359 |
| 8 | INFRAWATCH | 341 |
| 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 | 7857 |
| 2 | China | 2521 |
| 3 | United Kingdom | 733 |
| 4 | Singapore | 611 |
| 5 | France | 554 |
| 6 | Netherlands | 349 |
| 7 | Hong Kong | 306 |
| 8 | Germany | 199 |
| 9 | South Korea | 197 |
| 10 | India | 195 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 243886 |
| 2 | 9204 | 46773 |
| 3 | 6000 | 44808 |
| 4 | 9202 | 39478 |
| 5 | 9201 | 39025 |
| 6 | 522 | 37991 |
| 7 | 2020 | 36775 |
| 8 | 12222 | 33684 |
| 9 | 888 | 31816 |
| 10 | 9206 | 31334 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1416 |
| 2 | AL-3 | 1250 |
| 3 | GOOGLE-CLOUD | 1061 |
| 4 | PAN-22 | 909 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 401 |
| 7 | CENSY | 354 |
| 8 | FR-ONYPHE-20221220 | 240 |
| 9 | FR-ONYPHE-20221109 | 240 |
| 10 | CAVISAR-NET1 | 234 |
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 | 8158 |
| 2 | China | 2350 |
| 3 | Singapore | 607 |
| 4 | France | 556 |
| 5 | United Kingdom | 537 |
| 6 | Netherlands | 311 |
| 7 | Hong Kong | 290 |
| 8 | Honduras | 242 |
| 9 | India | 196 |
| 10 | Russian Federation | 195 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 305589 |
| 2 | 5471 | 59823 |
| 3 | 9204 | 54607 |
| 4 | 4117 | 49692 |
| 5 | 9201 | 48410 |
| 6 | 9220 | 46102 |
| 7 | 1159 | 43612 |
| 8 | 3382 | 43206 |
| 9 | 9202 | 41814 |
| 10 | 9210 | 38867 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1419 |
| 2 | AL-3 | 1302 |
| 3 | GOOGLE-CLOUD | 1065 |
| 4 | PAN-22 | 909 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 450 |
| 7 | CENSY | 359 |
| 8 | INFRAWATCH | 283 |
| 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 | 8985 |
| 2 | China | 2713 |
| 3 | United Kingdom | 743 |
| 4 | Singapore | 659 |
| 5 | France | 543 |
| 6 | Netherlands | 357 |
| 7 | Hong Kong | 351 |
| 8 | Russian Federation | 206 |
| 9 | India | 206 |
| 10 | South Korea | 189 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 380487 |
| 2 | 27 | 41954 |
| 3 | 2020 | 37004 |
| 4 | 9922 | 33922 |
| 5 | 12222 | 32461 |
| 6 | 9204 | 31341 |
| 7 | 2095 | 30063 |
| 8 | 444 | 28950 |
| 9 | 1463 | 28715 |
| 10 | 55555 | 28642 |