detection period: 2026-07-20 00:00-23:59 UTC
total number of suspected botnet IPs: 18080
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 17267
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 | 1326 |
| 2 | INFRAWATCH | 1092 |
| 3 | GOOGLE-CLOUD | 1068 |
| 4 | AL-3 | 973 |
| 5 | PAN-22 | 961 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 376 |
| 8 | ASEPL-SG | 366 |
| 9 | cloud | 281 |
| 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 | 7536 |
| 2 | China | 3986 |
| 3 | United Kingdom | 1136 |
| 4 | Germany | 591 |
| 5 | Netherlands | 570 |
| 6 | Singapore | 467 |
| 7 | France | 413 |
| 8 | Hong Kong | 276 |
| 9 | Russian Federation | 261 |
| 10 | India | 219 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5422 | 109216 |
| 2 | 5900 | 82230 |
| 3 | 2422 | 71442 |
| 4 | 2758 | 54317 |
| 5 | 9617 | 49354 |
| 6 | 2266 | 47921 |
| 7 | 9022 | 36181 |
| 8 | 11483 | 34138 |
| 9 | 8001 | 30037 |
| 10 | 23 | 29934 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1312 |
| 2 | GOOGLE-CLOUD | 1040 |
| 3 | INFRAWATCH | 1005 |
| 4 | AL-3 | 969 |
| 5 | PAN-22 | 959 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 374 |
| 8 | ASEPL-SG | 323 |
| 9 | cloud | 243 |
| 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 | 8134 |
| 2 | China | 3946 |
| 3 | United Kingdom | 961 |
| 4 | Netherlands | 541 |
| 5 | Germany | 497 |
| 6 | Singapore | 459 |
| 7 | France | 410 |
| 8 | Hong Kong | 271 |
| 9 | South Korea | 203 |
| 10 | India | 172 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 101487 |
| 2 | 5422 | 98821 |
| 3 | 3822 | 92258 |
| 4 | 2422 | 71712 |
| 5 | 6415 | 54885 |
| 6 | 5534 | 49527 |
| 7 | 2266 | 49270 |
| 8 | 9022 | 44657 |
| 9 | 7022 | 41108 |
| 10 | 15844 | 41105 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1337 |
| 2 | INFRAWATCH | 1088 |
| 3 | GOOGLE-CLOUD | 1045 |
| 4 | AL-3 | 1009 |
| 5 | PAN-22 | 960 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | ASEPL-SG | 392 |
| 8 | CENSY | 384 |
| 9 | cloud | 288 |
| 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 | 7521 |
| 2 | China | 4138 |
| 3 | United Kingdom | 1111 |
| 4 | Netherlands | 548 |
| 5 | Singapore | 512 |
| 6 | Germany | 431 |
| 7 | France | 425 |
| 8 | Hong Kong | 248 |
| 9 | India | 241 |
| 10 | South Korea | 209 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 3822 | 117119 |
| 2 | 5900 | 79192 |
| 3 | 2422 | 61150 |
| 4 | 7022 | 59026 |
| 5 | 3708 | 54441 |
| 6 | 2266 | 51132 |
| 7 | 9022 | 45689 |
| 8 | 3950 | 41128 |
| 9 | 9131 | 36735 |
| 10 | 2022 | 35479 |