detection period: 2026-08-21 00:00-23:59 UTC
total number of suspected botnet IPs: 17519
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 16558
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 | INFRAWATCH | 1057 |
| 2 | GOOGLE-CLOUD | 1039 |
| 3 | AL-3 | 1008 |
| 4 | MSFT | 981 |
| 5 | PAN-22 | 960 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | CENSY | 377 |
| 8 | ASEPL-SG | 347 |
| 9 | UCLOUD-US | 264 |
| 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 | 7391 |
| 2 | China | 3165 |
| 3 | United Kingdom | 920 |
| 4 | Germany | 604 |
| 5 | France | 550 |
| 6 | Netherlands | 539 |
| 7 | Singapore | 525 |
| 8 | Hong Kong | 340 |
| 9 | Russian Federation | 276 |
| 10 | Brazil | 242 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 119830 |
| 2 | 2025 | 48878 |
| 3 | 2224 | 36540 |
| 4 | 1217 | 31601 |
| 5 | 52200 | 27836 |
| 6 | 2165 | 27091 |
| 7 | 9022 | 26274 |
| 8 | 9389 | 25454 |
| 9 | 2923 | 24539 |
| 10 | 9762 | 23301 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | INFRAWATCH | 1093 |
| 2 | GOOGLE-CLOUD | 1053 |
| 3 | AL-3 | 996 |
| 4 | MSFT | 983 |
| 5 | PAN-22 | 962 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | CENSY | 378 |
| 8 | ASEPL-SG | 369 |
| 9 | UCLOUD-US | 245 |
| 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 | 7916 |
| 2 | China | 3106 |
| 3 | United Kingdom | 719 |
| 4 | Germany | 672 |
| 5 | Singapore | 623 |
| 6 | Netherlands | 550 |
| 7 | France | 527 |
| 8 | Hong Kong | 297 |
| 9 | Russian Federation | 280 |
| 10 | India | 230 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 205964 |
| 2 | 5242 | 100558 |
| 3 | 6143 | 91050 |
| 4 | 2022 | 87083 |
| 5 | 1573 | 85324 |
| 6 | 1293 | 82643 |
| 7 | 2025 | 69494 |
| 8 | 6509 | 63754 |
| 9 | 8401 | 61724 |
| 10 | 1494 | 60149 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | INFRAWATCH | 1159 |
| 2 | AL-3 | 1058 |
| 3 | GOOGLE-CLOUD | 1038 |
| 4 | MSFT | 1005 |
| 5 | PAN-22 | 962 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | ASEPL-SG | 388 |
| 8 | CENSY | 378 |
| 9 | DE-ALPHA | 262 |
| 10 | UCLOUD-US | 252 |
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 | 7538 |
| 2 | China | 2698 |
| 3 | United Kingdom | 765 |
| 4 | Germany | 703 |
| 5 | Singapore | 602 |
| 6 | Netherlands | 573 |
| 7 | France | 543 |
| 8 | Hong Kong | 311 |
| 9 | Russian Federation | 263 |
| 10 | India | 229 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 213882 |
| 2 | 2025 | 74829 |
| 3 | 9022 | 48198 |
| 4 | 2221 | 46605 |
| 5 | 5450 | 37413 |
| 6 | 1146 | 36545 |
| 7 | 5150 | 28944 |
| 8 | 4664 | 27098 |
| 9 | 2022 | 27052 |
| 10 | 5683 | 24581 |