detection period: 2026-06-29 00:00-23:59 UTC
total number of suspected botnet IPs: 20945
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 19767
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 | AL-3 | 1436 |
| 2 | MSFT | 1429 |
| 3 | GOOGLE-CLOUD | 1066 |
| 4 | PAN-22 | 962 |
| 5 | INFRAWATCH | 840 |
| 6 | ASEPL-SG | 559 |
| 7 | VOLCANO-ENGINE | 489 |
| 8 | FR-ONYPHE-20191111 | 400 |
| 9 | CENSY | 378 |
| 10 | DE-ALPHA | 345 |
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 | 8736 |
| 2 | China | 3947 |
| 3 | Singapore | 831 |
| 4 | United Kingdom | 741 |
| 5 | Germany | 629 |
| 6 | France | 602 |
| 7 | Netherlands | 574 |
| 8 | India | 375 |
| 9 | Hong Kong | 340 |
| 10 | Indonesia | 337 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 51248 |
| 2 | 4464 | 37941 |
| 3 | 12409 | 28770 |
| 4 | 9443 | 24264 |
| 5 | 3306 | 23752 |
| 6 | 7194 | 22506 |
| 7 | 888 | 20608 |
| 8 | 8712 | 20517 |
| 9 | 23 | 19756 |
| 10 | 8015 | 19539 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1455 |
| 2 | MSFT | 1433 |
| 3 | GOOGLE-CLOUD | 1048 |
| 4 | PAN-22 | 963 |
| 5 | INFRAWATCH | 779 |
| 6 | ASEPL-SG | 592 |
| 7 | VOLCANO-ENGINE | 454 |
| 8 | FR-ONYPHE-20191111 | 400 |
| 9 | CENSY | 377 |
| 10 | DE-ALPHA | 320 |
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 | 8961 |
| 2 | China | 3797 |
| 3 | Singapore | 785 |
| 4 | Germany | 632 |
| 5 | United Kingdom | 622 |
| 6 | Netherlands | 574 |
| 7 | France | 554 |
| 8 | Hong Kong | 313 |
| 9 | South Korea | 296 |
| 10 | India | 277 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 14069 | 91356 |
| 2 | 4179 | 80079 |
| 3 | 5357 | 75610 |
| 4 | 7777 | 75211 |
| 5 | 5900 | 72396 |
| 6 | 3306 | 65641 |
| 7 | 13593 | 58091 |
| 8 | 9443 | 51496 |
| 9 | 8088 | 47721 |
| 10 | 2095 | 46742 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1419 |
| 2 | MSFT | 1400 |
| 3 | GOOGLE-CLOUD | 1049 |
| 4 | PAN-22 | 958 |
| 5 | INFRAWATCH | 868 |
| 6 | ASEPL-SG | 592 |
| 7 | VOLCANO-ENGINE | 452 |
| 8 | FR-ONYPHE-20191111 | 411 |
| 9 | CENSY | 378 |
| 10 | cloud | 339 |
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 | 8036 |
| 2 | China | 3829 |
| 3 | Singapore | 768 |
| 4 | United Kingdom | 636 |
| 5 | Germany | 607 |
| 6 | Netherlands | 572 |
| 7 | France | 511 |
| 8 | South Korea | 327 |
| 9 | Hong Kong | 307 |
| 10 | India | 281 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 2272 | 117114 |
| 2 | 7777 | 114462 |
| 3 | 5900 | 92461 |
| 4 | 5357 | 66704 |
| 5 | 1122 | 56442 |
| 6 | 2095 | 53989 |
| 7 | 3306 | 53801 |
| 8 | 9443 | 50604 |
| 9 | 8015 | 48316 |
| 10 | 58603 | 47563 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1391 |
| 2 | AL-3 | 1366 |
| 3 | INFRAWATCH | 1063 |
| 4 | GOOGLE-CLOUD | 1039 |
| 5 | PAN-22 | 962 |
| 6 | ASEPL-SG | 546 |
| 7 | VOLCANO-ENGINE | 457 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 375 |
| 10 | DE-ALPHA | 341 |
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 | 8322 |
| 2 | China | 3779 |
| 3 | Germany | 804 |
| 4 | United Kingdom | 755 |
| 5 | Singapore | 748 |
| 6 | Netherlands | 526 |
| 7 | France | 497 |
| 8 | South Korea | 331 |
| 9 | Hong Kong | 325 |
| 10 | India | 299 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 7777 | 128151 |
| 2 | 2272 | 104552 |
| 3 | 5900 | 102871 |
| 4 | 2095 | 83713 |
| 5 | 8082 | 81573 |
| 6 | 5357 | 74107 |
| 7 | 8015 | 72875 |
| 8 | 9443 | 69773 |
| 9 | 8085 | 64968 |
| 10 | 1122 | 64886 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1454 |
| 2 | MSFT | 1384 |
| 3 | GOOGLE-CLOUD | 1044 |
| 4 | INFRAWATCH | 1034 |
| 5 | PAN-22 | 964 |
| 6 | ASEPL-SG | 522 |
| 7 | VOLCANO-ENGINE | 467 |
| 8 | FR-ONYPHE-20191111 | 447 |
| 9 | CENSY | 378 |
| 10 | DE-ALPHA | 332 |
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 | 8602 |
| 2 | China | 3920 |
| 3 | Germany | 795 |
| 4 | United Kingdom | 758 |
| 5 | Singapore | 711 |
| 6 | Netherlands | 564 |
| 7 | France | 480 |
| 8 | South Korea | 356 |
| 9 | India | 328 |
| 10 | Hong Kong | 309 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 7777 | 99033 |
| 2 | 5900 | 90155 |
| 3 | 1122 | 62022 |
| 4 | 8082 | 59665 |
| 5 | 2095 | 56383 |
| 6 | 5357 | 54497 |
| 7 | 9443 | 52349 |
| 8 | 8015 | 52218 |
| 9 | 9022 | 47100 |
| 10 | 8085 | 43389 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1421 |
| 2 | MSFT | 1416 |
| 3 | GOOGLE-CLOUD | 1065 |
| 4 | PAN-22 | 960 |
| 5 | INFRAWATCH | 925 |
| 6 | ASEPL-SG | 551 |
| 7 | VOLCANO-ENGINE | 467 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 384 |
| 10 | cloud | 307 |
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 | 8353 |
| 2 | China | 3869 |
| 3 | Singapore | 798 |
| 4 | Germany | 741 |
| 5 | United Kingdom | 609 |
| 6 | Netherlands | 552 |
| 7 | France | 504 |
| 8 | South Korea | 365 |
| 9 | India | 351 |
| 10 | Hong Kong | 322 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 83029 |
| 2 | 7777 | 73793 |
| 3 | 1122 | 59518 |
| 4 | 9022 | 49357 |
| 5 | 2000 | 47578 |
| 6 | 8082 | 47297 |
| 7 | 5357 | 42620 |
| 8 | 9443 | 39687 |
| 9 | 2222 | 34618 |
| 10 | 8015 | 34582 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1402 |
| 2 | MSFT | 1400 |
| 3 | GOOGLE-CLOUD | 1054 |
| 4 | PAN-22 | 962 |
| 5 | INFRAWATCH | 914 |
| 6 | ASEPL-SG | 541 |
| 7 | VOLCANO-ENGINE | 460 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 377 |
| 10 | CMNET | 287 |
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 | 8622 |
| 2 | China | 3871 |
| 3 | Singapore | 773 |
| 4 | United Kingdom | 620 |
| 5 | Netherlands | 588 |
| 6 | Germany | 545 |
| 7 | France | 492 |
| 8 | India | 348 |
| 9 | South Korea | 329 |
| 10 | Hong Kong | 298 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 2271 | 110876 |
| 2 | 5900 | 104585 |
| 3 | 1122 | 61547 |
| 4 | 9022 | 44642 |
| 5 | 7777 | 43423 |
| 6 | 8082 | 35227 |
| 7 | 8807 | 30786 |
| 8 | 8825 | 29441 |
| 9 | 8015 | 28337 |
| 10 | 5357 | 27850 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1433 |
| 2 | MSFT | 1411 |
| 3 | INFRAWATCH | 1079 |
| 4 | GOOGLE-CLOUD | 1070 |
| 5 | PAN-22 | 959 |
| 6 | ASEPL-SG | 564 |
| 7 | VOLCANO-ENGINE | 464 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 381 |
| 10 | cloud | 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 | 8142 |
| 2 | China | 3807 |
| 3 | Singapore | 816 |
| 4 | United Kingdom | 738 |
| 5 | Netherlands | 584 |
| 6 | Germany | 505 |
| 7 | France | 489 |
| 8 | South Korea | 348 |
| 9 | India | 328 |
| 10 | Hong Kong | 303 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 134822 |
| 2 | 2271 | 90948 |
| 3 | 1122 | 56538 |
| 4 | 9022 | 42276 |
| 5 | 8807 | 29895 |
| 6 | 8825 | 29208 |
| 7 | 8888 | 28339 |
| 8 | 22 | 28216 |
| 9 | 8812 | 26317 |
| 10 | 5901 | 24110 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1448 |
| 2 | MSFT | 1421 |
| 3 | GOOGLE-CLOUD | 1050 |
| 4 | PAN-22 | 961 |
| 5 | INFRAWATCH | 833 |
| 6 | ASEPL-SG | 536 |
| 7 | VOLCANO-ENGINE | 464 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 381 |
| 10 | cloud | 284 |
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 | 8799 |
| 2 | China | 3853 |
| 3 | Singapore | 840 |
| 4 | United Kingdom | 816 |
| 5 | Netherlands | 598 |
| 6 | France | 485 |
| 7 | Hong Kong | 325 |
| 8 | South Korea | 320 |
| 9 | India | 295 |
| 10 | Indonesia | 251 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 146520 |
| 2 | 1122 | 61176 |
| 3 | 9443 | 57381 |
| 4 | 8015 | 51003 |
| 5 | 8082 | 50468 |
| 6 | 5357 | 46367 |
| 7 | 9022 | 46020 |
| 8 | 2095 | 41051 |
| 9 | 2000 | 40767 |
| 10 | 8085 | 38776 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1542 |
| 2 | MSFT | 1412 |
| 3 | INFRAWATCH | 1054 |
| 4 | GOOGLE-CLOUD | 1046 |
| 5 | PAN-22 | 959 |
| 6 | ASEPL-SG | 547 |
| 7 | VOLCANO-ENGINE | 466 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 382 |
| 10 | cloud | 311 |
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 | 8216 |
| 2 | China | 3915 |
| 3 | Singapore | 809 |
| 4 | United Kingdom | 739 |
| 5 | Netherlands | 586 |
| 6 | Germany | 495 |
| 7 | France | 476 |
| 8 | Hong Kong | 320 |
| 9 | India | 306 |
| 10 | South Korea | 290 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 156924 |
| 2 | 1122 | 60377 |
| 3 | 9443 | 56968 |
| 4 | 8082 | 48390 |
| 5 | 54321 | 44269 |
| 6 | 8015 | 42805 |
| 7 | 5357 | 42044 |
| 8 | 7777 | 41110 |
| 9 | 9011 | 39450 |
| 10 | 8085 | 39300 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1505 |
| 2 | MSFT | 1412 |
| 3 | GOOGLE-CLOUD | 1071 |
| 4 | INFRAWATCH | 1034 |
| 5 | PAN-22 | 960 |
| 6 | ASEPL-SG | 651 |
| 7 | VOLCANO-ENGINE | 473 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 380 |
| 10 | cloud | 335 |
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 | 8342 |
| 2 | China | 3923 |
| 3 | Singapore | 901 |
| 4 | United Kingdom | 726 |
| 5 | Germany | 658 |
| 6 | Netherlands | 584 |
| 7 | France | 471 |
| 8 | South Korea | 327 |
| 9 | India | 323 |
| 10 | Hong Kong | 312 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 159405 |
| 2 | 1122 | 60632 |
| 3 | 23 | 50374 |
| 4 | 9443 | 46875 |
| 5 | 54321 | 44757 |
| 6 | 8822 | 41718 |
| 7 | 8082 | 40112 |
| 8 | 8015 | 37124 |
| 9 | 5901 | 34529 |
| 10 | 5357 | 33549 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1454 |
| 2 | MSFT | 1426 |
| 3 | GOOGLE-CLOUD | 1057 |
| 4 | PAN-22 | 961 |
| 5 | INFRAWATCH | 945 |
| 6 | ASEPL-SG | 572 |
| 7 | VOLCANO-ENGINE | 481 |
| 8 | FR-ONYPHE-20191111 | 447 |
| 9 | CENSY | 379 |
| 10 | cloud | 311 |
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 | 9091 |
| 2 | China | 4008 |
| 3 | Singapore | 869 |
| 4 | United Kingdom | 705 |
| 5 | Netherlands | 592 |
| 6 | Germany | 589 |
| 7 | France | 480 |
| 8 | India | 342 |
| 9 | Hong Kong | 316 |
| 10 | South Korea | 314 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 128572 |
| 2 | 23 | 80692 |
| 3 | 1122 | 58216 |
| 4 | 54321 | 43085 |
| 5 | 9443 | 36325 |
| 6 | 8822 | 34399 |
| 7 | 5901 | 33363 |
| 8 | 8082 | 28957 |
| 9 | 10000 | 28817 |
| 10 | 22 | 28428 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1492 |
| 2 | AL-3 | 1450 |
| 3 | INFRAWATCH | 1113 |
| 4 | GOOGLE-CLOUD | 1090 |
| 5 | PAN-22 | 960 |
| 6 | ASEPL-SG | 522 |
| 7 | VOLCANO-ENGINE | 484 |
| 8 | FR-ONYPHE-20191111 | 446 |
| 9 | CENSY | 381 |
| 10 | cloud | 316 |
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 | 9266 |
| 2 | China | 4367 |
| 3 | United Kingdom | 846 |
| 4 | Singapore | 783 |
| 5 | Netherlands | 625 |
| 6 | Germany | 551 |
| 7 | France | 485 |
| 8 | Hong Kong | 412 |
| 9 | South Korea | 376 |
| 10 | India | 357 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 150199 |
| 2 | 23 | 89925 |
| 3 | 1122 | 59024 |
| 4 | 54321 | 45443 |
| 5 | 9999 | 42221 |
| 6 | 9443 | 31161 |
| 7 | 8822 | 28306 |
| 8 | 22 | 28231 |
| 9 | 10000 | 26311 |
| 10 | 8015 | 21060 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1527 |
| 2 | AL-3 | 1492 |
| 3 | GOOGLE-CLOUD | 1096 |
| 4 | INFRAWATCH | 964 |
| 5 | PAN-22 | 963 |
| 6 | ASEPL-SG | 550 |
| 7 | VOLCANO-ENGINE | 499 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 380 |
| 10 | cloud | 362 |
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 | 10427 |
| 2 | China | 4346 |
| 3 | Singapore | 928 |
| 4 | United Kingdom | 775 |
| 5 | Netherlands | 613 |
| 6 | Germany | 591 |
| 7 | France | 507 |
| 8 | Hong Kong | 489 |
| 9 | India | 411 |
| 10 | South Korea | 353 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 152697 |
| 2 | 23 | 126642 |
| 3 | 1122 | 58718 |
| 4 | 1234 | 50749 |
| 5 | 54321 | 46520 |
| 6 | 202 | 42106 |
| 7 | 22 | 34324 |
| 8 | 8822 | 28332 |
| 9 | 8728 | 26110 |
| 10 | 10000 | 25315 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1467 |
| 2 | MSFT | 1391 |
| 3 | INFRAWATCH | 1126 |
| 4 | GOOGLE-CLOUD | 1049 |
| 5 | PAN-22 | 962 |
| 6 | ASEPL-SG | 677 |
| 7 | VOLCANO-ENGINE | 481 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 382 |
| 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 | 8031 |
| 2 | China | 3653 |
| 3 | Singapore | 1002 |
| 4 | United Kingdom | 815 |
| 5 | Netherlands | 562 |
| 6 | Germany | 533 |
| 7 | France | 502 |
| 8 | Hong Kong | 316 |
| 9 | Indonesia | 308 |
| 10 | South Korea | 297 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 130462 |
| 2 | 2269 | 65759 |
| 3 | 202 | 54479 |
| 4 | 1122 | 51505 |
| 5 | 54321 | 38104 |
| 6 | 22025 | 35695 |
| 7 | 22 | 29688 |
| 8 | 8822 | 27665 |
| 9 | 8728 | 27140 |
| 10 | 23122 | 24674 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1479 |
| 2 | AL-3 | 1468 |
| 3 | INFRAWATCH | 1083 |
| 4 | GOOGLE-CLOUD | 1038 |
| 5 | PAN-22 | 959 |
| 6 | ASEPL-SG | 560 |
| 7 | VOLCANO-ENGINE | 495 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 375 |
| 10 | cloud | 352 |
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 | 8892 |
| 2 | China | 4123 |
| 3 | Singapore | 863 |
| 4 | United Kingdom | 817 |
| 5 | Netherlands | 579 |
| 6 | Germany | 547 |
| 7 | France | 492 |
| 8 | Hong Kong | 298 |
| 9 | Indonesia | 297 |
| 10 | South Korea | 237 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 164419 |
| 2 | 12975 | 108732 |
| 3 | 12661 | 76379 |
| 4 | 13405 | 65538 |
| 5 | 2269 | 63931 |
| 6 | 202 | 53074 |
| 7 | 12951 | 50430 |
| 8 | 14391 | 43214 |
| 9 | 13968 | 41703 |
| 10 | 22025 | 40725 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1443 |
| 2 | MSFT | 1432 |
| 3 | GOOGLE-CLOUD | 1051 |
| 4 | PAN-22 | 960 |
| 5 | INFRAWATCH | 868 |
| 6 | ASEPL-SG | 577 |
| 7 | VOLCANO-ENGINE | 485 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 375 |
| 10 | cloud | 306 |
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 | 8377 |
| 2 | China | 4088 |
| 3 | Singapore | 901 |
| 4 | United Kingdom | 836 |
| 5 | Netherlands | 597 |
| 6 | France | 529 |
| 7 | Indonesia | 317 |
| 8 | Hong Kong | 312 |
| 9 | Germany | 303 |
| 10 | South Korea | 284 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 159577 |
| 2 | 2269 | 64363 |
| 3 | 6023 | 62971 |
| 4 | 13265 | 44055 |
| 5 | 9663 | 36786 |
| 6 | 6707 | 36465 |
| 7 | 4855 | 35755 |
| 8 | 8822 | 33319 |
| 9 | 3495 | 30284 |
| 10 | 6435 | 28385 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1448 |
| 2 | MSFT | 1427 |
| 3 | INFRAWATCH | 1063 |
| 4 | GOOGLE-CLOUD | 1047 |
| 5 | PAN-22 | 962 |
| 6 | ASEPL-SG | 566 |
| 7 | VOLCANO-ENGINE | 523 |
| 8 | FR-ONYPHE-20191111 | 447 |
| 9 | CENSY | 375 |
| 10 | cloud | 313 |
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 | 8667 |
| 2 | China | 4190 |
| 3 | Singapore | 898 |
| 4 | United Kingdom | 791 |
| 5 | Germany | 619 |
| 6 | Netherlands | 609 |
| 7 | France | 528 |
| 8 | Indonesia | 412 |
| 9 | India | 402 |
| 10 | South Korea | 365 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 134871 |
| 2 | 5901 | 30442 |
| 3 | 22 | 29950 |
| 4 | 6002 | 23966 |
| 5 | 222 | 19318 |
| 6 | 2203 | 18331 |
| 7 | 13870 | 18197 |
| 8 | 2269 | 17354 |
| 9 | 2222 | 17352 |
| 10 | 888 | 16743 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1542 |
| 2 | MSFT | 1409 |
| 3 | INFRAWATCH | 1068 |
| 4 | GOOGLE-CLOUD | 1061 |
| 5 | PAN-22 | 962 |
| 6 | ASEPL-SG | 612 |
| 7 | VOLCANO-ENGINE | 497 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 381 |
| 10 | cloud | 339 |
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 | 9185 |
| 2 | China | 4127 |
| 3 | Singapore | 838 |
| 4 | United Kingdom | 779 |
| 5 | Netherlands | 579 |
| 6 | Germany | 566 |
| 7 | France | 477 |
| 8 | India | 366 |
| 9 | South Korea | 347 |
| 10 | Hong Kong | 335 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 98645 |
| 2 | 5901 | 38857 |
| 3 | 9011 | 35656 |
| 4 | 22 | 28199 |
| 5 | 222 | 22048 |
| 6 | 23 | 21122 |
| 7 | 9402 | 20572 |
| 8 | 2222 | 20358 |
| 9 | 888 | 19551 |
| 10 | 8015 | 19195 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1575 |
| 2 | MSFT | 1487 |
| 3 | GOOGLE-CLOUD | 1052 |
| 4 | PAN-22 | 961 |
| 5 | INFRAWATCH | 865 |
| 6 | ASEPL-SG | 606 |
| 7 | VOLCANO-ENGINE | 499 |
| 8 | FR-ONYPHE-20191111 | 447 |
| 9 | CENSY | 374 |
| 10 | cloud | 337 |
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 | 8837 |
| 2 | China | 3772 |
| 3 | Singapore | 832 |
| 4 | Germany | 620 |
| 5 | Netherlands | 560 |
| 6 | United Kingdom | 553 |
| 7 | France | 487 |
| 8 | India | 367 |
| 9 | Hong Kong | 331 |
| 10 | South Korea | 326 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 143577 |
| 2 | 2255 | 80252 |
| 3 | 4444 | 47236 |
| 4 | 6022 | 45981 |
| 5 | 5901 | 38281 |
| 6 | 22024 | 36814 |
| 7 | 30 | 31613 |
| 8 | 22 | 29419 |
| 9 | 8222 | 28735 |
| 10 | 9402 | 26308 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1637 |
| 2 | MSFT | 1438 |
| 3 | GOOGLE-CLOUD | 1051 |
| 4 | INFRAWATCH | 1022 |
| 5 | PAN-22 | 962 |
| 6 | ASEPL-SG | 533 |
| 7 | VOLCANO-ENGINE | 501 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 375 |
| 10 | cloud | 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 | 9588 |
| 2 | China | 3442 |
| 3 | United Kingdom | 782 |
| 4 | Singapore | 746 |
| 5 | Germany | 640 |
| 6 | Netherlands | 620 |
| 7 | France | 497 |
| 8 | South Korea | 366 |
| 9 | India | 345 |
| 10 | Hong Kong | 340 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 201432 |
| 2 | 2255 | 87254 |
| 3 | 6022 | 60980 |
| 4 | 1111 | 53654 |
| 5 | 6000 | 37039 |
| 6 | 22024 | 36631 |
| 7 | 822 | 32430 |
| 8 | 8222 | 30678 |
| 9 | 22 | 27487 |
| 10 | 9402 | 26952 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1618 |
| 2 | MSFT | 1436 |
| 3 | INFRAWATCH | 1147 |
| 4 | GOOGLE-CLOUD | 1067 |
| 5 | PAN-22 | 961 |
| 6 | ASEPL-SG | 612 |
| 7 | VOLCANO-ENGINE | 518 |
| 8 | FR-ONYPHE-20191111 | 447 |
| 9 | CENSY | 363 |
| 10 | cloud | 346 |
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 | 8843 |
| 2 | China | 3326 |
| 3 | Singapore | 846 |
| 4 | United Kingdom | 815 |
| 5 | Germany | 573 |
| 6 | Netherlands | 542 |
| 7 | France | 470 |
| 8 | Hong Kong | 306 |
| 9 | Indonesia | 289 |
| 10 | South Korea | 258 |