detection period: 2026-01-23 00:00-23:59 UTC
total number of suspected botnet IPs: 23103
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 21251
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 | 1367 |
| 2 | GOOGLE-CLOUD | 1004 |
| 3 | PAN-22 | 950 |
| 4 | BYTEPLUS-SG | 847 |
| 5 | AL-3 | 823 |
| 6 | VOLCANO-ENGINE | 500 |
| 7 | ASEPL-SG | 463 |
| 8 | FR-ONYPHE-20191111 | 416 |
| 9 | ALISOFT | 393 |
| 10 | CMNET | 389 |
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 | 7927 |
| 2 | China | 5729 |
| 3 | Singapore | 1513 |
| 4 | India | 534 |
| 5 | France | 521 |
| 6 | Hong Kong | 461 |
| 7 | Russian Federation | 394 |
| 8 | Netherlands | 389 |
| 9 | Indonesia | 373 |
| 10 | South Korea | 372 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 173775 |
| 2 | 6666 | 83388 |
| 3 | 2240 | 70894 |
| 4 | 22 | 50793 |
| 5 | 9922 | 39819 |
| 6 | 9322 | 37976 |
| 7 | 5902 | 34127 |
| 8 | 2522 | 28934 |
| 9 | 9222 | 26669 |
| 10 | 8004 | 24733 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1385 |
| 2 | GOOGLE-CLOUD | 999 |
| 3 | PAN-22 | 950 |
| 4 | BYTEPLUS-SG | 848 |
| 5 | AL-3 | 824 |
| 6 | VOLCANO-ENGINE | 494 |
| 7 | ASEPL-SG | 450 |
| 8 | FR-ONYPHE-20191111 | 416 |
| 9 | ALISOFT | 389 |
| 10 | CENSY | 375 |
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 | 8662 |
| 2 | China | 5632 |
| 3 | Singapore | 1533 |
| 4 | India | 570 |
| 5 | France | 527 |
| 6 | Netherlands | 431 |
| 7 | Russian Federation | 428 |
| 8 | Hong Kong | 415 |
| 9 | South Korea | 390 |
| 10 | Indonesia | 383 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 168361 |
| 2 | 6666 | 80152 |
| 3 | 2240 | 69381 |
| 4 | 22 | 52613 |
| 5 | 9722 | 30633 |
| 6 | 5902 | 27578 |
| 7 | 2122 | 27351 |
| 8 | 9222 | 25832 |
| 9 | 444 | 23784 |
| 10 | 4022 | 23413 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1345 |
| 2 | GOOGLE-CLOUD | 1007 |
| 3 | PAN-22 | 946 |
| 4 | BYTEPLUS-SG | 881 |
| 5 | AL-3 | 820 |
| 6 | VOLCANO-ENGINE | 563 |
| 7 | ASEPL-SG | 448 |
| 8 | FR-ONYPHE-20191111 | 416 |
| 9 | ALISOFT | 411 |
| 10 | CENSY | 372 |
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 | 8027 |
| 2 | China | 5526 |
| 3 | Singapore | 1536 |
| 4 | India | 590 |
| 5 | France | 537 |
| 6 | Hong Kong | 444 |
| 7 | Indonesia | 421 |
| 8 | Russian Federation | 415 |
| 9 | Brazil | 381 |
| 10 | South Korea | 376 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 178236 |
| 2 | 9722 | 73921 |
| 3 | 777 | 65772 |
| 4 | 2240 | 58217 |
| 5 | 6666 | 55777 |
| 6 | 8003 | 43017 |
| 7 | 58222 | 38860 |
| 8 | 2222 | 38630 |
| 9 | 22 | 37449 |
| 10 | 6622 | 34245 |