detection period: 2026-05-29 00:00-23:59 UTC
total number of suspected botnet IPs: 20203
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 19259
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 | 1810 |
| 2 | MSFT | 1412 |
| 3 | INFRAWATCH | 1162 |
| 4 | GOOGLE-CLOUD | 1045 |
| 5 | PAN-22 | 962 |
| 6 | ASEPL-SG | 701 |
| 7 | VOLCANO-ENGINE | 505 |
| 8 | FR-ONYPHE-20191111 | 400 |
| 9 | CENSY | 377 |
| 10 | cloud | 310 |
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 | 9006 |
| 2 | China | 3643 |
| 3 | Singapore | 1061 |
| 4 | United Kingdom | 940 |
| 5 | Netherlands | 641 |
| 6 | Germany | 634 |
| 7 | France | 486 |
| 8 | Hong Kong | 376 |
| 9 | Indonesia | 299 |
| 10 | South Korea | 256 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 140809 |
| 2 | 4122 | 41589 |
| 3 | 2023 | 38686 |
| 4 | 2211 | 34595 |
| 5 | 8999 | 33538 |
| 6 | 8010 | 32303 |
| 7 | 7777 | 27193 |
| 8 | 5001 | 26801 |
| 9 | 23 | 24526 |
| 10 | 8015 | 24095 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1841 |
| 2 | MSFT | 1435 |
| 3 | GOOGLE-CLOUD | 1062 |
| 4 | PAN-22 | 961 |
| 5 | INFRAWATCH | 720 |
| 6 | ASEPL-SG | 717 |
| 7 | VOLCANO-ENGINE | 509 |
| 8 | FR-ONYPHE-20191111 | 400 |
| 9 | CENSY | 371 |
| 10 | cloud | 296 |
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 | 9599 |
| 2 | China | 3799 |
| 3 | Singapore | 1091 |
| 4 | United Kingdom | 660 |
| 5 | Netherlands | 638 |
| 6 | France | 480 |
| 7 | Germany | 392 |
| 8 | Hong Kong | 369 |
| 9 | Indonesia | 320 |
| 10 | South Korea | 266 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 237800 |
| 2 | 2211 | 42385 |
| 3 | 4122 | 38191 |
| 4 | 8999 | 35428 |
| 5 | 8010 | 35346 |
| 6 | 1722 | 32980 |
| 7 | 7777 | 30440 |
| 8 | 8001 | 29488 |
| 9 | 8015 | 29427 |
| 10 | 5001 | 27858 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1735 |
| 2 | MSFT | 1428 |
| 3 | GOOGLE-CLOUD | 1051 |
| 4 | PAN-22 | 966 |
| 5 | ASEPL-SG | 636 |
| 6 | VOLCANO-ENGINE | 506 |
| 7 | FR-ONYPHE-20191111 | 407 |
| 8 | CENSY | 375 |
| 9 | cloud | 302 |
| 10 | CMNET | 244 |
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 | 8889 |
| 2 | China | 3801 |
| 3 | Singapore | 1023 |
| 4 | France | 479 |
| 5 | Hong Kong | 368 |
| 6 | Germany | 340 |
| 7 | Netherlands | 323 |
| 8 | Indonesia | 293 |
| 9 | South Korea | 286 |
| 10 | Viet Nam | 240 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 251056 |
| 2 | 9999 | 42802 |
| 3 | 2211 | 41367 |
| 4 | 8010 | 38113 |
| 5 | 8999 | 37991 |
| 6 | 8001 | 33328 |
| 7 | 1722 | 32473 |
| 8 | 7102 | 29321 |
| 9 | 8007 | 29163 |
| 10 | 4714 | 28711 |