detection period: 2026-10-24 00:00-23:59 UTC
total number of suspected botnet IPs: 19436
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 17803
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 | 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 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1476 |
| 2 | AL-3 | 1303 |
| 3 | GOOGLE-CLOUD | 1070 |
| 4 | PAN-22 | 911 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 454 |
| 7 | CENSY | 377 |
| 8 | ALISOFT | 253 |
| 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 | 9368 |
| 2 | China | 2715 |
| 3 | United Kingdom | 727 |
| 4 | Singapore | 698 |
| 5 | France | 597 |
| 6 | Hong Kong | 385 |
| 7 | South Korea | 343 |
| 8 | Netherlands | 332 |
| 9 | India | 313 |
| 10 | Germany | 306 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 493321 |
| 2 | 33 | 80383 |
| 3 | 212 | 50149 |
| 4 | 9204 | 46082 |
| 5 | 9922 | 39116 |
| 6 | 9201 | 32396 |
| 7 | 9210 | 31458 |
| 8 | 2095 | 30754 |
| 9 | 9206 | 30185 |
| 10 | 9443 | 29804 |