detection period: 2026-11-14 00:00-23:59 UTC
total number of suspected botnet IPs: 21519
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 19942
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 | 1619 |
| 2 | GOOGLE-CLOUD | 1280 |
| 3 | PAN-22 | 1051 |
| 4 | AL-3 | 724 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | CENSY | 420 |
| 7 | ASEPL-SG | 414 |
| 8 | KORNET-KR | 348 |
| 9 | DE-ALPHA | 336 |
| 10 | CMNET | 292 |
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 | 8959 |
| 2 | China | 4261 |
| 3 | Singapore | 610 |
| 4 | France | 589 |
| 5 | South Korea | 525 |
| 6 | Germany | 517 |
| 7 | Hong Kong | 462 |
| 8 | India | 427 |
| 9 | Russian Federation | 377 |
| 10 | Netherlands | 370 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 404254 |
| 2 | 2210 | 78000 |
| 3 | 2234 | 52787 |
| 4 | 1722 | 48076 |
| 5 | 7022 | 42959 |
| 6 | 2273 | 33249 |
| 7 | 2222 | 21653 |
| 8 | 22 | 21043 |
| 9 | 8444 | 20065 |
| 10 | 5901 | 19051 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1594 |
| 2 | GOOGLE-CLOUD | 1303 |
| 3 | PAN-22 | 1057 |
| 4 | AL-3 | 780 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | DE-ALPHA | 476 |
| 7 | CENSY | 436 |
| 8 | KORNET-KR | 341 |
| 9 | CMNET | 324 |
| 10 | ASEPL-SG | 301 |
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 | 9190 |
| 2 | China | 4588 |
| 3 | Germany | 646 |
| 4 | France | 594 |
| 5 | South Korea | 513 |
| 6 | Singapore | 481 |
| 7 | Russian Federation | 424 |
| 8 | India | 417 |
| 9 | Netherlands | 405 |
| 10 | Hong Kong | 392 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 316830 |
| 2 | 9322 | 67313 |
| 3 | 8800 | 55985 |
| 4 | 7022 | 55985 |
| 5 | 2234 | 55317 |
| 6 | 1022 | 40789 |
| 7 | 1722 | 33201 |
| 8 | 5901 | 24652 |
| 9 | 8444 | 24299 |
| 10 | 22 | 23952 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1661 |
| 2 | GOOGLE-CLOUD | 1281 |
| 3 | PAN-22 | 1054 |
| 4 | AL-3 | 769 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | CENSY | 438 |
| 7 | DE-ALPHA | 331 |
| 8 | ASEPL-SG | 322 |
| 9 | CMNET | 300 |
| 10 | KORNET-KR | 293 |
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 | 9976 |
| 2 | China | 4875 |
| 3 | France | 585 |
| 4 | Germany | 508 |
| 5 | Singapore | 505 |
| 6 | South Korea | 449 |
| 7 | Netherlands | 417 |
| 8 | India | 394 |
| 9 | Hong Kong | 392 |
| 10 | Russian Federation | 374 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 289813 |
| 2 | 7022 | 58452 |
| 3 | 9322 | 53632 |
| 4 | 2234 | 53156 |
| 5 | 5022 | 38411 |
| 6 | 5901 | 30342 |
| 7 | 8105 | 28475 |
| 8 | 22 | 27453 |
| 9 | 8444 | 26486 |
| 10 | 7801 | 23761 |