detection period: 2026-03-16 00:00-23:59 UTC
total number of suspected botnet IPs: 18108
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 17122
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 | 1320 |
| 2 | AL-3 | 1220 |
| 3 | GOOGLE-CLOUD | 995 |
| 4 | PAN-22 | 944 |
| 5 | ASEPL-SG | 809 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | VOLCANO-ENGINE | 390 |
| 8 | CENSY | 379 |
| 9 | cloud | 303 |
| 10 | ALISOFT | 301 |
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 | 8361 |
| 2 | China | 3620 |
| 3 | Singapore | 1033 |
| 4 | France | 540 |
| 5 | Hong Kong | 405 |
| 6 | Netherlands | 326 |
| 7 | Indonesia | 310 |
| 8 | United Kingdom | 239 |
| 9 | South Korea | 238 |
| 10 | India | 232 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 179135 |
| 2 | 18422 | 88879 |
| 3 | 9011 | 83845 |
| 4 | 2203 | 71078 |
| 5 | 2251 | 45327 |
| 6 | 5902 | 38958 |
| 7 | 22010 | 33333 |
| 8 | 22 | 33123 |
| 9 | 888 | 32377 |
| 10 | 2222 | 32214 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1344 |
| 2 | AL-3 | 1234 |
| 3 | GOOGLE-CLOUD | 1000 |
| 4 | PAN-22 | 949 |
| 5 | ASEPL-SG | 863 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | VOLCANO-ENGINE | 398 |
| 8 | CENSY | 369 |
| 9 | cloud | 323 |
| 10 | ALISOFT | 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 | 9028 |
| 2 | China | 3534 |
| 3 | Singapore | 1029 |
| 4 | France | 551 |
| 5 | Hong Kong | 385 |
| 6 | Netherlands | 364 |
| 7 | Indonesia | 265 |
| 8 | United Kingdom | 255 |
| 9 | India | 238 |
| 10 | South Korea | 234 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 245717 |
| 2 | 2251 | 107133 |
| 3 | 888 | 101247 |
| 4 | 2000 | 83445 |
| 5 | 8085 | 80053 |
| 6 | 2203 | 74434 |
| 7 | 789 | 70518 |
| 8 | 9011 | 67616 |
| 9 | 2222 | 59226 |
| 10 | 9443 | 51349 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1336 |
| 2 | AL-3 | 1237 |
| 3 | GOOGLE-CLOUD | 1003 |
| 4 | PAN-22 | 950 |
| 5 | ASEPL-SG | 845 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | VOLCANO-ENGINE | 388 |
| 8 | CENSY | 377 |
| 9 | cloud | 305 |
| 10 | ALISOFT | 305 |
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 | 8438 |
| 2 | China | 3170 |
| 3 | Singapore | 1048 |
| 4 | France | 540 |
| 5 | Hong Kong | 396 |
| 6 | Netherlands | 387 |
| 7 | Indonesia | 280 |
| 8 | South Korea | 261 |
| 9 | United Kingdom | 237 |
| 10 | India | 235 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 228863 |
| 2 | 8085 | 119056 |
| 3 | 888 | 109951 |
| 4 | 2203 | 83761 |
| 5 | 8088 | 71092 |
| 6 | 3306 | 68909 |
| 7 | 2000 | 65245 |
| 8 | 5357 | 62961 |
| 9 | 5322 | 52940 |
| 10 | 2251 | 48186 |