detection period: 2026-11-06 00:00-23:59 UTC
total number of suspected botnet IPs: 21309
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 19477
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 | 1537 |
| 2 | AL-3 | 1259 |
| 3 | GOOGLE-CLOUD | 1173 |
| 4 | PAN-22 | 1053 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 474 |
| 7 | CENSY | 458 |
| 8 | CMNET | 290 |
| 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 | 9194 |
| 2 | China | 4215 |
| 3 | Singapore | 765 |
| 4 | France | 635 |
| 5 | Hong Kong | 367 |
| 6 | India | 357 |
| 7 | Russian Federation | 346 |
| 8 | Brazil | 338 |
| 9 | Netherlands | 325 |
| 10 | South Korea | 314 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 465806 |
| 2 | 1838 | 87293 |
| 3 | 7722 | 79661 |
| 4 | 8105 | 65510 |
| 5 | 2234 | 50563 |
| 6 | 3333 | 50070 |
| 7 | 6060 | 41966 |
| 8 | 1561 | 41306 |
| 9 | 2635 | 40999 |
| 10 | 2224 | 38998 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1559 |
| 2 | AL-3 | 1246 |
| 3 | GOOGLE-CLOUD | 1167 |
| 4 | PAN-22 | 1026 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 464 |
| 7 | CENSY | 456 |
| 8 | Stella-IT-KRF | 253 |
| 9 | NET-45-133-173-0-24 | 253 |
| 10 | NET-2-57-17-0-24 | 253 |
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 | 10074 |
| 2 | China | 3649 |
| 3 | United Kingdom | 816 |
| 4 | Singapore | 753 |
| 5 | France | 611 |
| 6 | Germany | 471 |
| 7 | Hong Kong | 387 |
| 8 | Netherlands | 361 |
| 9 | Brazil | 336 |
| 10 | European Union | 334 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 457677 |
| 2 | 1838 | 89203 |
| 3 | 7722 | 87326 |
| 4 | 8105 | 64736 |
| 5 | 2234 | 50497 |
| 6 | 3333 | 46402 |
| 7 | 1561 | 41445 |
| 8 | 2635 | 41375 |
| 9 | 6060 | 41016 |
| 10 | 5064 | 28379 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1559 |
| 2 | AL-3 | 1366 |
| 3 | GOOGLE-CLOUD | 1162 |
| 4 | PAN-22 | 1053 |
| 5 | ASEPL-SG | 557 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | CENSY | 455 |
| 8 | AT-88-Z | 252 |
| 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 | 9350 |
| 2 | China | 4049 |
| 3 | Singapore | 869 |
| 4 | France | 606 |
| 5 | United Kingdom | 353 |
| 6 | Hong Kong | 324 |
| 7 | Brazil | 323 |
| 8 | Netherlands | 320 |
| 9 | India | 286 |
| 10 | Indonesia | 275 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 510440 |
| 2 | 1838 | 104945 |
| 3 | 7722 | 87585 |
| 4 | 8105 | 76227 |
| 5 | 5863 | 60573 |
| 6 | 10000 | 52015 |
| 7 | 2234 | 49217 |
| 8 | 1561 | 47875 |
| 9 | 6060 | 47551 |
| 10 | 2635 | 47302 |