detection period: 2026-10-28 00:00-23:59 UTC
total number of suspected botnet IPs: 20682
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 18940
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 | 1487 |
| 2 | AL-3 | 1219 |
| 3 | GOOGLE-CLOUD | 1059 |
| 4 | PAN-22 | 1038 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | CENSY | 452 |
| 7 | ASEPL-SG | 447 |
| 8 | FR-ONYPHE-20221220 | 240 |
| 9 | FR-ONYPHE-20221109 | 240 |
| 10 | KORNET-KR | 233 |
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 | 9207 |
| 2 | China | 2994 |
| 3 | United Kingdom | 731 |
| 4 | Singapore | 658 |
| 5 | France | 608 |
| 6 | India | 445 |
| 7 | Germany | 395 |
| 8 | South Korea | 379 |
| 9 | Brazil | 375 |
| 10 | Hong Kong | 365 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 443614 |
| 2 | 2232 | 83447 |
| 3 | 5500 | 64813 |
| 4 | 3322 | 59879 |
| 5 | 52022 | 54373 |
| 6 | 9281 | 53215 |
| 7 | 10000 | 51128 |
| 8 | 8159 | 47148 |
| 9 | 144 | 46188 |
| 10 | 6200 | 44354 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1489 |
| 2 | AL-3 | 1304 |
| 3 | GOOGLE-CLOUD | 1062 |
| 4 | PAN-22 | 1042 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 472 |
| 7 | CENSY | 428 |
| 8 | FR-ONYPHE-20221220 | 240 |
| 9 | FR-ONYPHE-20221109 | 240 |
| 10 | ACEVILLEPTELTD-SG | 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 | 10077 |
| 2 | China | 3170 |
| 3 | Singapore | 759 |
| 4 | United Kingdom | 731 |
| 5 | France | 610 |
| 6 | India | 465 |
| 7 | Brazil | 428 |
| 8 | Hong Kong | 421 |
| 9 | South Korea | 378 |
| 10 | Netherlands | 360 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 471336 |
| 2 | 2232 | 93855 |
| 3 | 3322 | 59271 |
| 4 | 1444 | 49222 |
| 5 | 10000 | 49023 |
| 6 | 52022 | 46797 |
| 7 | 2022 | 46229 |
| 8 | 2350 | 45463 |
| 9 | 5500 | 40370 |
| 10 | 3023 | 39246 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1491 |
| 2 | AL-3 | 1331 |
| 3 | GOOGLE-CLOUD | 1057 |
| 4 | PAN-22 | 937 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 480 |
| 7 | CENSY | 368 |
| 8 | UCLOUD-HK | 323 |
| 9 | ALISOFT | 251 |
| 10 | FR-ONYPHE-20221220 | 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 | 9327 |
| 2 | China | 3113 |
| 3 | Singapore | 739 |
| 4 | United Kingdom | 666 |
| 5 | France | 582 |
| 6 | Hong Kong | 528 |
| 7 | India | 446 |
| 8 | Netherlands | 445 |
| 9 | Germany | 423 |
| 10 | Brazil | 377 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 385762 |
| 2 | 2232 | 93355 |
| 3 | 3322 | 59288 |
| 4 | 2022 | 46139 |
| 5 | 1433 | 45385 |
| 6 | 2211 | 34962 |
| 7 | 10000 | 30920 |
| 8 | 6022 | 26897 |
| 9 | 22 | 26239 |
| 10 | 9201 | 25167 |