detection period: 2026-09-16 00:00-23:59 UTC
total number of suspected botnet IPs: 15991
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 15102
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 | 1480 |
| 2 | AL-3 | 1302 |
| 3 | GOOGLE-CLOUD | 1043 |
| 4 | PAN-22 | 953 |
| 5 | ASEPL-SG | 489 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | INFRAWATCH | 467 |
| 8 | CENSY | 369 |
| 9 | DE-ALPHA | 291 |
| 10 | cloud | 245 |
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 | 8132 |
| 2 | China | 2017 |
| 3 | Singapore | 632 |
| 4 | Germany | 616 |
| 5 | France | 543 |
| 6 | United Kingdom | 434 |
| 7 | Netherlands | 293 |
| 8 | Russian Federation | 243 |
| 9 | Hong Kong | 217 |
| 10 | India | 210 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 68878 |
| 2 | 20102 | 30794 |
| 3 | 6022 | 29729 |
| 4 | 2277 | 26363 |
| 5 | 8083 | 24394 |
| 6 | 5312 | 23595 |
| 7 | 2796 | 22654 |
| 8 | 1638 | 21911 |
| 9 | 444 | 21495 |
| 10 | 2337 | 19811 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1511 |
| 2 | AL-3 | 1414 |
| 3 | GOOGLE-CLOUD | 1043 |
| 4 | PAN-22 | 953 |
| 5 | ASEPL-SG | 486 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | INFRAWATCH | 478 |
| 8 | CENSY | 370 |
| 9 | DE-ALPHA | 333 |
| 10 | cloud | 257 |
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 | 9072 |
| 2 | China | 3334 |
| 3 | Germany | 660 |
| 4 | Singapore | 628 |
| 5 | France | 551 |
| 6 | United Kingdom | 476 |
| 7 | Netherlands | 291 |
| 8 | Hong Kong | 254 |
| 9 | Russian Federation | 230 |
| 10 | Indonesia | 209 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 137014 |
| 2 | 444 | 43351 |
| 3 | 2122 | 38464 |
| 4 | 3122 | 37830 |
| 5 | 333 | 29032 |
| 6 | 2254 | 25158 |
| 7 | 20102 | 24043 |
| 8 | 2796 | 23910 |
| 9 | 1111 | 23347 |
| 10 | 7870 | 23320 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1489 |
| 2 | AL-3 | 1329 |
| 3 | INFRAWATCH | 1134 |
| 4 | GOOGLE-CLOUD | 1047 |
| 5 | PAN-22 | 954 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | ASEPL-SG | 473 |
| 8 | CENSY | 365 |
| 9 | DE-ALPHA | 319 |
| 10 | FR-ONYPHE-20221220 | 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 | 8220 |
| 2 | China | 2706 |
| 3 | Germany | 825 |
| 4 | United Kingdom | 773 |
| 5 | Singapore | 645 |
| 6 | France | 573 |
| 7 | Netherlands | 536 |
| 8 | Hong Kong | 323 |
| 9 | Russian Federation | 246 |
| 10 | Indonesia | 226 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 168439 |
| 2 | 10001 | 157389 |
| 3 | 444 | 49991 |
| 4 | 3122 | 43074 |
| 5 | 2122 | 42952 |
| 6 | 333 | 32520 |
| 7 | 8008 | 29499 |
| 8 | 1111 | 26296 |
| 9 | 2254 | 26025 |
| 10 | 122 | 24867 |