detection period: 2026-10-25 00:00-23:59 UTC
total number of suspected botnet IPs: 21351
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 19658
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 | 1462 |
| 2 | AL-3 | 1311 |
| 3 | GOOGLE-CLOUD | 1070 |
| 4 | PAN-22 | 922 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 443 |
| 7 | CENSY | 362 |
| 8 | DE-ALPHA | 310 |
| 9 | UCLOUD-HK | 304 |
| 10 | ALISOFT | 265 |
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 | 9518 |
| 2 | China | 3395 |
| 3 | United Kingdom | 700 |
| 4 | Singapore | 693 |
| 5 | France | 592 |
| 6 | Hong Kong | 510 |
| 7 | Germany | 497 |
| 8 | South Korea | 373 |
| 9 | Netherlands | 351 |
| 10 | Russian Federation | 322 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 402744 |
| 2 | 2232 | 95991 |
| 3 | 3322 | 58901 |
| 4 | 2022 | 49965 |
| 5 | 9204 | 40792 |
| 6 | 2211 | 36662 |
| 7 | 2095 | 36292 |
| 8 | 2222 | 33643 |
| 9 | 6433 | 31562 |
| 10 | 9201 | 31029 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1463 |
| 2 | AL-3 | 1294 |
| 3 | GOOGLE-CLOUD | 1069 |
| 4 | PAN-22 | 905 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 439 |
| 7 | CENSY | 362 |
| 8 | DE-ALPHA | 322 |
| 9 | KORNET-KR | 262 |
| 10 | ALISOFT | 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 | 8277 |
| 2 | China | 2989 |
| 3 | Singapore | 659 |
| 4 | United Kingdom | 649 |
| 5 | France | 588 |
| 6 | Germany | 504 |
| 7 | South Korea | 410 |
| 8 | India | 386 |
| 9 | Netherlands | 355 |
| 10 | Hong Kong | 344 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 428258 |
| 2 | 2022 | 50662 |
| 3 | 2232 | 50231 |
| 4 | 9204 | 43562 |
| 5 | 2095 | 32898 |
| 6 | 9201 | 30808 |
| 7 | 9206 | 30411 |
| 8 | 9220 | 29936 |
| 9 | 22 | 28697 |
| 10 | 6022 | 26689 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1453 |
| 2 | AL-3 | 1313 |
| 3 | GOOGLE-CLOUD | 1076 |
| 4 | PAN-22 | 908 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 470 |
| 7 | CENSY | 361 |
| 8 | DE-ALPHA | 257 |
| 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 | 8943 |
| 2 | China | 2868 |
| 3 | United Kingdom | 806 |
| 4 | Singapore | 704 |
| 5 | France | 601 |
| 6 | Germany | 429 |
| 7 | Netherlands | 414 |
| 8 | South Korea | 391 |
| 9 | India | 365 |
| 10 | Hong Kong | 354 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 565134 |
| 2 | 2022 | 49383 |
| 3 | 9204 | 42216 |
| 4 | 9201 | 35083 |
| 5 | 9206 | 33215 |
| 6 | 9443 | 31728 |
| 7 | 2095 | 31065 |
| 8 | 9210 | 29853 |
| 9 | 9220 | 29257 |
| 10 | 9207 | 27241 |