detection period: 2026-08-17 00:00-23:59 UTC
total number of suspected botnet IPs: 17699
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 16748
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 | INFRAWATCH | 1135 |
| 2 | AL-3 | 1061 |
| 3 | GOOGLE-CLOUD | 1033 |
| 4 | MSFT | 982 |
| 5 | PAN-22 | 960 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | ASEPL-SG | 382 |
| 8 | CENSY | 375 |
| 9 | UCLOUD-US | 254 |
| 10 | DE-ALPHA | 247 |
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 | 7687 |
| 2 | China | 2944 |
| 3 | Germany | 824 |
| 4 | United Kingdom | 784 |
| 5 | France | 568 |
| 6 | Netherlands | 549 |
| 7 | Singapore | 493 |
| 8 | Hong Kong | 322 |
| 9 | Argentina | 301 |
| 10 | Russian Federation | 262 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 203278 |
| 2 | 8888 | 68083 |
| 3 | 7022 | 54726 |
| 4 | 433 | 47219 |
| 5 | 1222 | 35721 |
| 6 | 2221 | 35241 |
| 7 | 6017 | 33662 |
| 8 | 4137 | 29951 |
| 9 | 12322 | 29675 |
| 10 | 3333 | 28639 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | GOOGLE-CLOUD | 1041 |
| 2 | AL-3 | 1027 |
| 3 | MSFT | 1024 |
| 4 | PAN-22 | 961 |
| 5 | INFRAWATCH | 921 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | CENSY | 377 |
| 8 | ASEPL-SG | 359 |
| 9 | UCLOUD-US | 241 |
| 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 | 8129 |
| 2 | China | 2975 |
| 3 | United Kingdom | 815 |
| 4 | Netherlands | 577 |
| 5 | France | 566 |
| 6 | Germany | 473 |
| 7 | Singapore | 455 |
| 8 | Hong Kong | 286 |
| 9 | Argentina | 276 |
| 10 | India | 238 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 181177 |
| 2 | 5555 | 50591 |
| 3 | 1652 | 41137 |
| 4 | 12322 | 36152 |
| 5 | 1111 | 35891 |
| 6 | 2000 | 34227 |
| 7 | 4137 | 32513 |
| 8 | 3333 | 31190 |
| 9 | 8888 | 31088 |
| 10 | 2959 | 30386 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | INFRAWATCH | 1126 |
| 2 | GOOGLE-CLOUD | 1044 |
| 3 | AL-3 | 1025 |
| 4 | MSFT | 1017 |
| 5 | PAN-22 | 962 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | CENSY | 377 |
| 8 | ASEPL-SG | 370 |
| 9 | UCLOUD-US | 263 |
| 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 | 7348 |
| 2 | China | 3055 |
| 3 | Germany | 795 |
| 4 | United Kingdom | 739 |
| 5 | France | 564 |
| 6 | Netherlands | 559 |
| 7 | Singapore | 480 |
| 8 | Argentina | 329 |
| 9 | Hong Kong | 303 |
| 10 | Russian Federation | 242 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 225538 |
| 2 | 9999 | 75803 |
| 3 | 8090 | 66212 |
| 4 | 5555 | 51544 |
| 5 | 7777 | 46530 |
| 6 | 12322 | 44302 |
| 7 | 1797 | 42855 |
| 8 | 2567 | 39298 |
| 9 | 6699 | 39220 |
| 10 | 4120 | 36647 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | INFRAWATCH | 1163 |
| 2 | AL-3 | 1089 |
| 3 | GOOGLE-CLOUD | 1033 |
| 4 | MSFT | 972 |
| 5 | PAN-22 | 962 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | ASEPL-SG | 451 |
| 8 | CENSY | 377 |
| 9 | CMNET | 258 |
| 10 | UCLOUD-US | 245 |
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 | 7518 |
| 2 | China | 3207 |
| 3 | United Kingdom | 807 |
| 4 | Germany | 696 |
| 5 | Netherlands | 571 |
| 6 | France | 570 |
| 7 | Singapore | 548 |
| 8 | Argentina | 311 |
| 9 | Hong Kong | 310 |
| 10 | Russian Federation | 277 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 226167 |
| 2 | 9999 | 72776 |
| 3 | 8090 | 67695 |
| 4 | 7777 | 52356 |
| 5 | 1797 | 47401 |
| 6 | 2567 | 46389 |
| 7 | 5322 | 43759 |
| 8 | 6699 | 40304 |
| 9 | 4120 | 38491 |
| 10 | 1287 | 38463 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | GOOGLE-CLOUD | 1048 |
| 2 | INFRAWATCH | 1046 |
| 3 | AL-3 | 1019 |
| 4 | PAN-22 | 960 |
| 5 | MSFT | 878 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | ASEPL-SG | 397 |
| 8 | CENSY | 375 |
| 9 | CMNET | 249 |
| 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 | 7979 |
| 2 | China | 3148 |
| 3 | Germany | 718 |
| 4 | United Kingdom | 660 |
| 5 | Netherlands | 589 |
| 6 | France | 581 |
| 7 | Singapore | 466 |
| 8 | Ukraine | 340 |
| 9 | Argentina | 308 |
| 10 | Hong Kong | 294 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 217707 |
| 2 | 8090 | 71650 |
| 3 | 444 | 69999 |
| 4 | 22951 | 64522 |
| 5 | 9999 | 62262 |
| 6 | 20010 | 62255 |
| 7 | 27999 | 54477 |
| 8 | 7777 | 50085 |
| 9 | 1797 | 48531 |
| 10 | 2567 | 46172 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | INFRAWATCH | 1171 |
| 2 | GOOGLE-CLOUD | 1047 |
| 3 | AL-3 | 1014 |
| 4 | MSFT | 966 |
| 5 | PAN-22 | 960 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | ASEPL-SG | 379 |
| 8 | CENSY | 376 |
| 9 | FR-ONYPHE-20221220 | 240 |
| 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 | 7582 |
| 2 | China | 2899 |
| 3 | United Kingdom | 817 |
| 4 | Germany | 773 |
| 5 | Netherlands | 582 |
| 6 | France | 568 |
| 7 | Singapore | 455 |
| 8 | Ukraine | 420 |
| 9 | Russian Federation | 299 |
| 10 | Hong Kong | 273 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 247732 |
| 2 | 8090 | 78041 |
| 3 | 444 | 69972 |
| 4 | 9999 | 64985 |
| 5 | 22951 | 63353 |
| 6 | 20010 | 62569 |
| 7 | 27999 | 52650 |
| 8 | 6007 | 51376 |
| 9 | 1797 | 48161 |
| 10 | 3005 | 48019 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | INFRAWATCH | 1161 |
| 2 | MSFT | 1111 |
| 3 | GOOGLE-CLOUD | 1033 |
| 4 | PAN-22 | 962 |
| 5 | AL-3 | 892 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | CENSY | 371 |
| 8 | ASEPL-SG | 351 |
| 9 | cloud | 253 |
| 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 | 8354 |
| 2 | China | 2762 |
| 3 | United Kingdom | 800 |
| 4 | Germany | 772 |
| 5 | Netherlands | 581 |
| 6 | France | 579 |
| 7 | Singapore | 461 |
| 8 | Russian Federation | 310 |
| 9 | Hong Kong | 296 |
| 10 | Ukraine | 287 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 78296 |
| 2 | 8111 | 73261 |
| 3 | 9999 | 67303 |
| 4 | 6006 | 43734 |
| 5 | 8011 | 43039 |
| 6 | 12322 | 38928 |
| 7 | 19922 | 37557 |
| 8 | 8090 | 28985 |
| 9 | 2578 | 28641 |
| 10 | 6007 | 28089 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1302 |
| 2 | INFRAWATCH | 1057 |
| 3 | GOOGLE-CLOUD | 1042 |
| 4 | AL-3 | 1021 |
| 5 | PAN-22 | 963 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 375 |
| 8 | ASEPL-SG | 346 |
| 9 | FR-ONYPHE-20221109 | 240 |
| 10 | DE-ALPHA | 235 |
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 | 7612 |
| 2 | China | 2666 |
| 3 | Germany | 712 |
| 4 | United Kingdom | 705 |
| 5 | France | 531 |
| 6 | Netherlands | 515 |
| 7 | Singapore | 469 |
| 8 | Hong Kong | 305 |
| 9 | Ukraine | 303 |
| 10 | Russian Federation | 297 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 72442 |
| 2 | 8123 | 59315 |
| 3 | 6006 | 41539 |
| 4 | 8011 | 33420 |
| 5 | 9999 | 26429 |
| 6 | 22 | 20024 |
| 7 | 8822 | 19573 |
| 8 | 23 | 19366 |
| 9 | 8322 | 15866 |
| 10 | 389 | 15098 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1323 |
| 2 | INFRAWATCH | 1060 |
| 3 | GOOGLE-CLOUD | 1035 |
| 4 | AL-3 | 1021 |
| 5 | PAN-22 | 961 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | ASEPL-SG | 406 |
| 8 | CENSY | 373 |
| 9 | cloud | 289 |
| 10 | DE-ALPHA | 243 |
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 | 8518 |
| 2 | China | 3075 |
| 3 | United Kingdom | 750 |
| 4 | Germany | 736 |
| 5 | Netherlands | 550 |
| 6 | Singapore | 528 |
| 7 | France | 495 |
| 8 | Ukraine | 479 |
| 9 | Russian Federation | 318 |
| 10 | Hong Kong | 276 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 127577 |
| 2 | 8090 | 44161 |
| 3 | 22 | 23918 |
| 4 | 8822 | 20055 |
| 5 | 1133 | 17360 |
| 6 | 23 | 17141 |
| 7 | 1100 | 17036 |
| 8 | 389 | 16176 |
| 9 | 9999 | 13486 |
| 10 | 153 | 13455 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1331 |
| 2 | GOOGLE-CLOUD | 1032 |
| 3 | AL-3 | 1025 |
| 4 | PAN-22 | 961 |
| 5 | INFRAWATCH | 769 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 378 |
| 8 | ASEPL-SG | 357 |
| 9 | cloud | 269 |
| 10 | DE-ALPHA | 258 |
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 | 7498 |
| 2 | China | 3819 |
| 3 | United Kingdom | 654 |
| 4 | Germany | 545 |
| 5 | Netherlands | 513 |
| 6 | France | 487 |
| 7 | Singapore | 461 |
| 8 | Ukraine | 347 |
| 9 | Russian Federation | 291 |
| 10 | Hong Kong | 255 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 150106 |
| 2 | 5357 | 45447 |
| 3 | 7777 | 31453 |
| 4 | 888 | 31326 |
| 5 | 9443 | 28079 |
| 6 | 22 | 27022 |
| 7 | 8085 | 25553 |
| 8 | 2095 | 23452 |
| 9 | 8088 | 19807 |
| 10 | 1133 | 17933 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1351 |
| 2 | INFRAWATCH | 1060 |
| 3 | GOOGLE-CLOUD | 1045 |
| 4 | AL-3 | 1008 |
| 5 | PAN-22 | 962 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 374 |
| 8 | ASEPL-SG | 354 |
| 9 | cloud | 317 |
| 10 | DE-ALPHA | 241 |
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 | 7607 |
| 2 | China | 3386 |
| 3 | Germany | 1631 |
| 4 | United Kingdom | 737 |
| 5 | Netherlands | 503 |
| 6 | France | 483 |
| 7 | Singapore | 480 |
| 8 | Ukraine | 446 |
| 9 | Russian Federation | 307 |
| 10 | Hong Kong | 258 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 157780 |
| 2 | 22 | 26542 |
| 3 | 1133 | 18062 |
| 4 | 23 | 17921 |
| 5 | 1100 | 17736 |
| 6 | 888 | 16841 |
| 7 | 153 | 16805 |
| 8 | 8822 | 15872 |
| 9 | 389 | 15541 |
| 10 | 363 | 15320 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1363 |
| 2 | INFRAWATCH | 1126 |
| 3 | GOOGLE-CLOUD | 1052 |
| 4 | AL-3 | 1033 |
| 5 | PAN-22 | 958 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | ASEPL-SG | 415 |
| 8 | CENSY | 376 |
| 9 | cloud | 289 |
| 10 | DE-ALPHA | 252 |
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 | 8349 |
| 2 | China | 2661 |
| 3 | Germany | 1068 |
| 4 | United Kingdom | 913 |
| 5 | Singapore | 543 |
| 6 | Netherlands | 506 |
| 7 | France | 490 |
| 8 | Ukraine | 398 |
| 9 | Russian Federation | 336 |
| 10 | Hong Kong | 266 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 90689 |
| 2 | 7777 | 78231 |
| 3 | 22012 | 32539 |
| 4 | 22 | 25258 |
| 5 | 1100 | 23637 |
| 6 | 9022 | 22877 |
| 7 | 153 | 22489 |
| 8 | 173 | 21973 |
| 9 | 888 | 20989 |
| 10 | 200 | 20726 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1325 |
| 2 | INFRAWATCH | 1101 |
| 3 | GOOGLE-CLOUD | 1047 |
| 4 | AL-3 | 999 |
| 5 | PAN-22 | 963 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 376 |
| 8 | ASEPL-SG | 343 |
| 9 | cloud | 282 |
| 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 | 7775 |
| 2 | China | 2546 |
| 3 | United Kingdom | 1067 |
| 4 | Germany | 711 |
| 5 | Netherlands | 531 |
| 6 | Ukraine | 502 |
| 7 | France | 480 |
| 8 | Singapore | 455 |
| 9 | Russian Federation | 323 |
| 10 | Brazil | 276 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 7777 | 105477 |
| 2 | 5900 | 101561 |
| 3 | 666 | 89840 |
| 4 | 22012 | 31438 |
| 5 | 888 | 30636 |
| 6 | 200 | 25578 |
| 7 | 22 | 24669 |
| 8 | 9022 | 22706 |
| 9 | 3222 | 22705 |
| 10 | 153 | 22623 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1399 |
| 2 | INFRAWATCH | 1107 |
| 3 | GOOGLE-CLOUD | 1035 |
| 4 | AL-3 | 969 |
| 5 | PAN-22 | 961 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 375 |
| 8 | ASEPL-SG | 370 |
| 9 | cloud | 275 |
| 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 | 8203 |
| 2 | China | 2539 |
| 3 | United Kingdom | 1092 |
| 4 | Germany | 736 |
| 5 | Ukraine | 669 |
| 6 | Netherlands | 540 |
| 7 | France | 488 |
| 8 | Singapore | 462 |
| 9 | Russian Federation | 419 |
| 10 | Brazil | 281 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 182839 |
| 2 | 7777 | 107461 |
| 3 | 2271 | 97074 |
| 4 | 666 | 94437 |
| 5 | 888 | 33910 |
| 6 | 8122 | 30275 |
| 7 | 22 | 28129 |
| 8 | 3222 | 25901 |
| 9 | 200 | 23275 |
| 10 | 173 | 22740 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1333 |
| 2 | INFRAWATCH | 1085 |
| 3 | AL-3 | 1084 |
| 4 | GOOGLE-CLOUD | 1034 |
| 5 | PAN-22 | 962 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 376 |
| 8 | ASEPL-SG | 373 |
| 9 | cloud | 299 |
| 10 | DE-ALPHA | 246 |
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 | 7908 |
| 2 | China | 2515 |
| 3 | United Kingdom | 1159 |
| 4 | Germany | 737 |
| 5 | Netherlands | 531 |
| 6 | France | 515 |
| 7 | Singapore | 468 |
| 8 | Ukraine | 326 |
| 9 | Russian Federation | 313 |
| 10 | Hong Kong | 278 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 173385 |
| 2 | 2271 | 104960 |
| 3 | 666 | 62973 |
| 4 | 7777 | 45022 |
| 5 | 6022 | 39384 |
| 6 | 3222 | 26601 |
| 7 | 22 | 24954 |
| 8 | 200 | 23426 |
| 9 | 9022 | 22117 |
| 10 | 173 | 21904 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1374 |
| 2 | AL-3 | 1129 |
| 3 | INFRAWATCH | 1099 |
| 4 | GOOGLE-CLOUD | 1031 |
| 5 | PAN-22 | 959 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 395 |
| 8 | ASEPL-SG | 363 |
| 9 | FR-ONYPHE-20221109 | 240 |
| 10 | HURRICANE-4 | 228 |
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 | 8516 |
| 2 | China | 2763 |
| 3 | United Kingdom | 1095 |
| 4 | Germany | 691 |
| 5 | Netherlands | 530 |
| 6 | Singapore | 513 |
| 7 | France | 494 |
| 8 | Hong Kong | 290 |
| 9 | Russian Federation | 221 |
| 10 | European Union | 192 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 134738 |
| 2 | 2271 | 75433 |
| 3 | 8015 | 73845 |
| 4 | 4000 | 41091 |
| 5 | 888 | 39708 |
| 6 | 6022 | 35721 |
| 7 | 10000 | 30958 |
| 8 | 3306 | 28003 |
| 9 | 22 | 26833 |
| 10 | 3222 | 24137 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1360 |
| 2 | INFRAWATCH | 1108 |
| 3 | GOOGLE-CLOUD | 1046 |
| 4 | AL-3 | 1041 |
| 5 | PAN-22 | 958 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 373 |
| 8 | ASEPL-SG | 373 |
| 9 | cloud | 301 |
| 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 | 7801 |
| 2 | China | 2752 |
| 3 | United Kingdom | 1107 |
| 4 | Germany | 708 |
| 5 | Netherlands | 567 |
| 6 | France | 502 |
| 7 | Singapore | 495 |
| 8 | Hong Kong | 303 |
| 9 | Russian Federation | 225 |
| 10 | European Union | 195 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 6005 | 71490 |
| 2 | 8015 | 65342 |
| 3 | 8888 | 64052 |
| 4 | 5900 | 59536 |
| 5 | 888 | 38360 |
| 6 | 22 | 27117 |
| 7 | 3306 | 25441 |
| 8 | 9000 | 25420 |
| 9 | 9022 | 24056 |
| 10 | 3222 | 23796 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1345 |
| 2 | AL-3 | 1071 |
| 3 | GOOGLE-CLOUD | 1035 |
| 4 | PAN-22 | 962 |
| 5 | INFRAWATCH | 863 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | ASEPL-SG | 446 |
| 8 | CENSY | 386 |
| 9 | cloud | 251 |
| 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 | 7927 |
| 2 | China | 2943 |
| 3 | United Kingdom | 1120 |
| 4 | Singapore | 543 |
| 5 | Netherlands | 542 |
| 6 | Germany | 478 |
| 7 | France | 477 |
| 8 | Hong Kong | 267 |
| 9 | Russian Federation | 265 |
| 10 | South Korea | 206 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 8015 | 87411 |
| 2 | 5555 | 76451 |
| 3 | 8888 | 66005 |
| 4 | 888 | 40767 |
| 5 | 5000 | 33905 |
| 6 | 3306 | 29413 |
| 7 | 8122 | 29021 |
| 8 | 23 | 27418 |
| 9 | 22 | 26733 |
| 10 | 8088 | 24978 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1288 |
| 2 | INFRAWATCH | 1087 |
| 3 | GOOGLE-CLOUD | 1050 |
| 4 | AL-3 | 976 |
| 5 | PAN-22 | 962 |
| 6 | CLOUDFLARENET | 760 |
| 7 | FR-ONYPHE-20191111 | 448 |
| 8 | CENSY | 376 |
| 9 | ASEPL-SG | 349 |
| 10 | cloud | 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 | 9090 |
| 2 | China | 2397 |
| 3 | United Kingdom | 1142 |
| 4 | Germany | 635 |
| 5 | Netherlands | 532 |
| 6 | France | 515 |
| 7 | Singapore | 473 |
| 8 | Hong Kong | 304 |
| 9 | Russian Federation | 266 |
| 10 | India | 209 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 8015 | 106469 |
| 2 | 5555 | 95994 |
| 3 | 8888 | 67966 |
| 4 | 2266 | 41035 |
| 5 | 6000 | 34585 |
| 6 | 2000 | 33296 |
| 7 | 888 | 30591 |
| 8 | 23 | 29783 |
| 9 | 3306 | 24945 |
| 10 | 7000 | 24190 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1274 |
| 2 | INFRAWATCH | 1074 |
| 3 | GOOGLE-CLOUD | 1042 |
| 4 | AL-3 | 1017 |
| 5 | PAN-22 | 958 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 375 |
| 8 | ASEPL-SG | 354 |
| 9 | cloud | 266 |
| 10 | UCLOUD-US | 247 |
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 | 7739 |
| 2 | China | 2846 |
| 3 | United Kingdom | 1103 |
| 4 | Germany | 678 |
| 5 | Netherlands | 559 |
| 6 | France | 473 |
| 7 | Singapore | 465 |
| 8 | Russian Federation | 324 |
| 9 | Hong Kong | 310 |
| 10 | European Union | 211 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 6000 | 86449 |
| 2 | 5555 | 82927 |
| 3 | 2227 | 76633 |
| 4 | 8888 | 54401 |
| 5 | 2266 | 42200 |
| 6 | 22010 | 37842 |
| 7 | 3222 | 25337 |
| 8 | 22 | 24226 |
| 9 | 182 | 20881 |
| 10 | 153 | 20301 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1328 |
| 2 | INFRAWATCH | 1082 |
| 3 | GOOGLE-CLOUD | 1045 |
| 4 | AL-3 | 1015 |
| 5 | PAN-22 | 959 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 380 |
| 8 | ASEPL-SG | 376 |
| 9 | cloud | 299 |
| 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 | 8080 |
| 2 | China | 2679 |
| 3 | United Kingdom | 1142 |
| 4 | Germany | 702 |
| 5 | Netherlands | 601 |
| 6 | Singapore | 484 |
| 7 | France | 420 |
| 8 | Russian Federation | 297 |
| 9 | Hong Kong | 243 |
| 10 | European Union | 210 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 2227 | 76951 |
| 2 | 6001 | 50160 |
| 3 | 6000 | 45312 |
| 4 | 2266 | 41159 |
| 5 | 9011 | 40310 |
| 6 | 4722 | 27037 |
| 7 | 22 | 26861 |
| 8 | 3222 | 24860 |
| 9 | 5522 | 23255 |
| 10 | 182 | 22447 |