detection period: 2026-04-07 00:00-23:59 UTC
total number of suspected botnet IPs: 18149
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 17239
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 | 1361 |
| 2 | AL-3 | 1304 |
| 3 | GOOGLE-CLOUD | 1034 |
| 4 | PAN-22 | 950 |
| 5 | ASEPL-SG | 547 |
| 6 | FR-ONYPHE-20191111 | 447 |
| 7 | CENSY | 376 |
| 8 | VOLCANO-ENGINE | 370 |
| 9 | cloud | 331 |
| 10 | LINODE-US | 274 |
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 | 8807 |
| 2 | China | 3311 |
| 3 | Singapore | 939 |
| 4 | France | 572 |
| 5 | Netherlands | 390 |
| 6 | Hong Kong | 364 |
| 7 | Indonesia | 288 |
| 8 | India | 243 |
| 9 | United Kingdom | 226 |
| 10 | South Korea | 224 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 473362 |
| 2 | 4222 | 124464 |
| 3 | 25 | 104550 |
| 4 | 2271 | 96650 |
| 5 | 2205 | 61562 |
| 6 | 2231 | 54311 |
| 7 | 0 | 46447 |
| 8 | 58603 | 45142 |
| 9 | 2222 | 39907 |
| 10 | 8088 | 34455 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1346 |
| 2 | AL-3 | 1255 |
| 3 | GOOGLE-CLOUD | 1011 |
| 4 | PAN-22 | 950 |
| 5 | FR-ONYPHE-20191111 | 448 |
| 6 | ASEPL-SG | 429 |
| 7 | CENSY | 375 |
| 8 | VOLCANO-ENGINE | 374 |
| 9 | cloud | 270 |
| 10 | UCLOUD-HK | 260 |
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 | 7884 |
| 2 | China | 3404 |
| 3 | Singapore | 771 |
| 4 | France | 560 |
| 5 | Hong Kong | 369 |
| 6 | Netherlands | 332 |
| 7 | Indonesia | 274 |
| 8 | India | 251 |
| 9 | Germany | 238 |
| 10 | South Korea | 227 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 376942 |
| 2 | 25 | 195262 |
| 3 | 4222 | 106780 |
| 4 | 0 | 104984 |
| 5 | 2271 | 99310 |
| 6 | 58603 | 98417 |
| 7 | 2095 | 92856 |
| 8 | 2205 | 91534 |
| 9 | 2222 | 72345 |
| 10 | 7777 | 62709 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1351 |
| 2 | AL-3 | 1351 |
| 3 | GOOGLE-CLOUD | 1005 |
| 4 | PAN-22 | 951 |
| 5 | ASEPL-SG | 547 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 381 |
| 8 | VOLCANO-ENGINE | 370 |
| 9 | cloud | 321 |
| 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 | 8631 |
| 2 | China | 3370 |
| 3 | Singapore | 927 |
| 4 | France | 555 |
| 5 | Netherlands | 368 |
| 6 | Hong Kong | 344 |
| 7 | United Kingdom | 257 |
| 8 | Germany | 244 |
| 9 | Indonesia | 231 |
| 10 | South Korea | 220 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 425806 |
| 2 | 25 | 157491 |
| 3 | 58603 | 114872 |
| 4 | 2095 | 106440 |
| 5 | 2205 | 102238 |
| 6 | 7777 | 92993 |
| 7 | 9443 | 79257 |
| 8 | 8000 | 69799 |
| 9 | 8088 | 65344 |
| 10 | 1012 | 60520 |