detection period: 2026-09-04 00:00-23:59 UTC
total number of suspected botnet IPs: 19782
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 18732
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 | AL-3 | 1295 |
| 2 | MSFT | 1238 |
| 3 | INFRAWATCH | 1096 |
| 4 | GOOGLE-CLOUD | 1055 |
| 5 | PAN-22 | 953 |
| 6 | ASEPL-SG | 539 |
| 7 | FR-ONYPHE-20191111 | 480 |
| 8 | CENSY | 365 |
| 9 | UCLOUD-US | 258 |
| 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 | 8154 |
| 2 | China | 2769 |
| 3 | United Kingdom | 1007 |
| 4 | Singapore | 805 |
| 5 | Germany | 761 |
| 6 | France | 582 |
| 7 | Netherlands | 564 |
| 8 | Hong Kong | 412 |
| 9 | Russian Federation | 377 |
| 10 | India | 292 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 213463 |
| 2 | 6379 | 83340 |
| 3 | 1963 | 80379 |
| 4 | 7018 | 58021 |
| 5 | 1991 | 57564 |
| 6 | 1311 | 57251 |
| 7 | 2222 | 44852 |
| 8 | 8082 | 43995 |
| 9 | 1226 | 39587 |
| 10 | 6123 | 37365 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1379 |
| 2 | AL-3 | 1321 |
| 3 | INFRAWATCH | 1117 |
| 4 | GOOGLE-CLOUD | 1057 |
| 5 | PAN-22 | 955 |
| 6 | ASEPL-SG | 505 |
| 7 | FR-ONYPHE-20191111 | 480 |
| 8 | CENSY | 371 |
| 9 | DE-ALPHA | 251 |
| 10 | UCLOUD-US | 247 |
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 | 9026 |
| 2 | China | 2946 |
| 3 | United Kingdom | 1094 |
| 4 | Singapore | 817 |
| 5 | Germany | 783 |
| 6 | Netherlands | 597 |
| 7 | France | 577 |
| 8 | Hong Kong | 382 |
| 9 | Russian Federation | 308 |
| 10 | India | 294 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 147882 |
| 2 | 1963 | 73833 |
| 3 | 1208 | 69939 |
| 4 | 1311 | 56418 |
| 5 | 6379 | 50873 |
| 6 | 3338 | 47654 |
| 7 | 2178 | 45846 |
| 8 | 9011 | 42006 |
| 9 | 8082 | 41259 |
| 10 | 1443 | 40181 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1426 |
| 2 | MSFT | 1365 |
| 3 | INFRAWATCH | 1145 |
| 4 | GOOGLE-CLOUD | 1049 |
| 5 | PAN-22 | 956 |
| 6 | ASEPL-SG | 526 |
| 7 | FR-ONYPHE-20191111 | 480 |
| 8 | CENSY | 376 |
| 9 | DE-ALPHA | 300 |
| 10 | UCLOUD-US | 255 |
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 | 8502 |
| 2 | China | 3190 |
| 3 | United Kingdom | 1302 |
| 4 | Singapore | 840 |
| 5 | Germany | 810 |
| 6 | Netherlands | 608 |
| 7 | France | 590 |
| 8 | Hong Kong | 384 |
| 9 | Russian Federation | 303 |
| 10 | India | 303 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 117646 |
| 2 | 8843 | 36116 |
| 3 | 1212 | 34701 |
| 4 | 6379 | 29383 |
| 5 | 3520 | 27469 |
| 6 | 5721 | 26717 |
| 7 | 4444 | 24334 |
| 8 | 6018 | 23129 |
| 9 | 3338 | 21385 |
| 10 | 808 | 21183 |