detection period: 2026-07-19 00:00-23:59 UTC
total number of suspected botnet IPs: 17930
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 17189
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 | 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 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1350 |
| 2 | AL-3 | 1131 |
| 3 | INFRAWATCH | 1098 |
| 4 | GOOGLE-CLOUD | 1046 |
| 5 | PAN-22 | 961 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 383 |
| 8 | ASEPL-SG | 358 |
| 9 | FR-ONYPHE-20221109 | 240 |
| 10 | CMNET | 230 |
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 | 7846 |
| 2 | China | 4086 |
| 3 | United Kingdom | 1093 |
| 4 | Netherlands | 543 |
| 5 | Germany | 484 |
| 6 | Singapore | 464 |
| 7 | France | 403 |
| 8 | India | 250 |
| 9 | Hong Kong | 240 |
| 10 | European Union | 196 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 7022 | 58820 |
| 2 | 5900 | 45905 |
| 3 | 3822 | 43316 |
| 4 | 2022 | 38833 |
| 5 | 9222 | 33098 |
| 6 | 1022 | 32257 |
| 7 | 4122 | 32132 |
| 8 | 222 | 30131 |
| 9 | 22 | 29071 |
| 10 | 6522 | 28967 |