detection period: 2026-08-30 00:00-23:59 UTC
total number of suspected botnet IPs: 22192
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 21125
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 | 1398 |
| 2 | AL-3 | 1311 |
| 3 | INFRAWATCH | 1172 |
| 4 | GOOGLE-CLOUD | 1045 |
| 5 | PAN-22 | 954 |
| 6 | ASEPL-SG | 541 |
| 7 | FR-ONYPHE-20191111 | 480 |
| 8 | CENSY | 379 |
| 9 | UCLOUD-US | 258 |
| 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 | 8957 |
| 2 | China | 4110 |
| 3 | United Kingdom | 1288 |
| 4 | Germany | 986 |
| 5 | Singapore | 853 |
| 6 | France | 570 |
| 7 | Netherlands | 551 |
| 8 | Hong Kong | 382 |
| 9 | Russian Federation | 302 |
| 10 | European Union | 287 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 175796 |
| 2 | 1111 | 93916 |
| 3 | 7722 | 67183 |
| 4 | 2396 | 53871 |
| 5 | 3030 | 53810 |
| 6 | 3332 | 38989 |
| 7 | 5085 | 38771 |
| 8 | 2095 | 38363 |
| 9 | 1994 | 37870 |
| 10 | 2165 | 35402 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1337 |
| 2 | AL-3 | 1307 |
| 3 | INFRAWATCH | 1074 |
| 4 | GOOGLE-CLOUD | 1021 |
| 5 | PAN-22 | 956 |
| 6 | ASEPL-SG | 514 |
| 7 | FR-ONYPHE-20191111 | 480 |
| 8 | CENSY | 376 |
| 9 | DE-ALPHA | 275 |
| 10 | UCLOUD-US | 271 |
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 | 7966 |
| 2 | China | 4180 |
| 3 | Germany | 1028 |
| 4 | United Kingdom | 986 |
| 5 | Singapore | 732 |
| 6 | France | 584 |
| 7 | Netherlands | 505 |
| 8 | Hong Kong | 396 |
| 9 | India | 299 |
| 10 | Russian Federation | 289 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 179682 |
| 2 | 1111 | 98425 |
| 3 | 3030 | 45218 |
| 4 | 7722 | 44076 |
| 5 | 3332 | 42183 |
| 6 | 2095 | 39794 |
| 7 | 2396 | 37096 |
| 8 | 1122 | 35577 |
| 9 | 5133 | 34614 |
| 10 | 2387 | 29552 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1409 |
| 2 | AL-3 | 1320 |
| 3 | INFRAWATCH | 1134 |
| 4 | GOOGLE-CLOUD | 1020 |
| 5 | PAN-22 | 955 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | ASEPL-SG | 474 |
| 8 | CENSY | 373 |
| 9 | UCLOUD-US | 255 |
| 10 | cloud | 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 | 8267 |
| 2 | China | 4117 |
| 3 | United Kingdom | 1139 |
| 4 | Singapore | 809 |
| 5 | Germany | 780 |
| 6 | France | 613 |
| 7 | Netherlands | 551 |
| 8 | Hong Kong | 400 |
| 9 | Indonesia | 321 |
| 10 | Russian Federation | 315 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 232508 |
| 2 | 1122 | 84468 |
| 3 | 2225 | 54931 |
| 4 | 2095 | 47122 |
| 5 | 1667 | 33924 |
| 6 | 2343 | 29019 |
| 7 | 3358 | 28427 |
| 8 | 2396 | 28050 |
| 9 | 3332 | 26525 |
| 10 | 2168 | 26147 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1531 |
| 2 | AL-3 | 1272 |
| 3 | INFRAWATCH | 1120 |
| 4 | GOOGLE-CLOUD | 1022 |
| 5 | PAN-22 | 953 |
| 6 | CLOUDFLARENET | 675 |
| 7 | FR-ONYPHE-20191111 | 480 |
| 8 | ASEPL-SG | 442 |
| 9 | CENSY | 376 |
| 10 | UCLOUD-US | 273 |
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 | 9697 |
| 2 | China | 3817 |
| 3 | United Kingdom | 987 |
| 4 | Singapore | 779 |
| 5 | Germany | 760 |
| 6 | France | 615 |
| 7 | Netherlands | 556 |
| 8 | Hong Kong | 409 |
| 9 | India | 343 |
| 10 | Indonesia | 336 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 172650 |
| 2 | 1122 | 82642 |
| 3 | 2225 | 57357 |
| 4 | 7001 | 49230 |
| 5 | 5431 | 38211 |
| 6 | 2095 | 37209 |
| 7 | 50100 | 35731 |
| 8 | 1523 | 35108 |
| 9 | 1880 | 32408 |
| 10 | 5361 | 32178 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1181 |
| 2 | INFRAWATCH | 1143 |
| 3 | GOOGLE-CLOUD | 1042 |
| 4 | AL-3 | 1011 |
| 5 | PAN-22 | 958 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | CENSY | 375 |
| 8 | ASEPL-SG | 340 |
| 9 | UCLOUD-US | 278 |
| 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 | 7705 |
| 2 | China | 3277 |
| 3 | United Kingdom | 1123 |
| 4 | Germany | 680 |
| 5 | Singapore | 562 |
| 6 | France | 551 |
| 7 | Netherlands | 544 |
| 8 | Hong Kong | 348 |
| 9 | Russian Federation | 256 |
| 10 | India | 255 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 146401 |
| 2 | 50100 | 96219 |
| 3 | 7227 | 92888 |
| 4 | 1122 | 74559 |
| 5 | 4600 | 63669 |
| 6 | 1076 | 61976 |
| 7 | 8103 | 60564 |
| 8 | 6558 | 48233 |
| 9 | 7163 | 48192 |
| 10 | 9214 | 47821 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | INFRAWATCH | 1159 |
| 2 | GOOGLE-CLOUD | 1036 |
| 3 | MSFT | 1018 |
| 4 | AL-3 | 1005 |
| 5 | PAN-22 | 962 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | CENSY | 370 |
| 8 | ASEPL-SG | 357 |
| 9 | UCLOUD-US | 280 |
| 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 | 8148 |
| 2 | China | 3271 |
| 3 | United Kingdom | 1028 |
| 4 | Germany | 695 |
| 5 | Singapore | 574 |
| 6 | France | 540 |
| 7 | Netherlands | 532 |
| 8 | Hong Kong | 332 |
| 9 | Russian Federation | 287 |
| 10 | India | 243 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 3764 | 122478 |
| 2 | 69 | 100518 |
| 3 | 9280 | 83766 |
| 4 | 5361 | 78810 |
| 5 | 9592 | 77746 |
| 6 | 7588 | 71325 |
| 7 | 7967 | 68873 |
| 8 | 9123 | 66482 |
| 9 | 8081 | 64586 |
| 10 | 6506 | 63401 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1045 |
| 2 | GOOGLE-CLOUD | 1039 |
| 3 | MSFT | 1033 |
| 4 | PAN-22 | 958 |
| 5 | INFRAWATCH | 918 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | CENSY | 382 |
| 8 | ASEPL-SG | 374 |
| 9 | UCLOUD-US | 275 |
| 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 | 8028 |
| 2 | China | 3115 |
| 3 | United Kingdom | 1145 |
| 4 | Singapore | 610 |
| 5 | Netherlands | 579 |
| 6 | France | 564 |
| 7 | Germany | 417 |
| 8 | Hong Kong | 306 |
| 9 | Russian Federation | 264 |
| 10 | Ukraine | 220 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 1483 | 134405 |
| 2 | 1057 | 97325 |
| 3 | 8912 | 77749 |
| 4 | 69 | 67092 |
| 5 | 5900 | 66998 |
| 6 | 9022 | 66773 |
| 7 | 3700 | 55879 |
| 8 | 9090 | 53661 |
| 9 | 3764 | 53607 |
| 10 | 8118 | 53294 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | INFRAWATCH | 1159 |
| 2 | MSFT | 1080 |
| 3 | GOOGLE-CLOUD | 1048 |
| 4 | AL-3 | 991 |
| 5 | PAN-22 | 962 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | ASEPL-SG | 395 |
| 8 | CENSY | 367 |
| 9 | UCLOUD-US | 265 |
| 10 | cloud | 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 | 8257 |
| 2 | China | 3463 |
| 3 | United Kingdom | 1067 |
| 4 | Germany | 691 |
| 5 | Singapore | 624 |
| 6 | Netherlands | 556 |
| 7 | France | 549 |
| 8 | Hong Kong | 340 |
| 9 | Russian Federation | 313 |
| 10 | Ukraine | 230 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 4076 | 54791 |
| 2 | 9022 | 52641 |
| 3 | 5900 | 51710 |
| 4 | 9090 | 48890 |
| 5 | 8162 | 48128 |
| 6 | 8472 | 46338 |
| 7 | 1217 | 45358 |
| 8 | 3700 | 45019 |
| 9 | 1483 | 44940 |
| 10 | 333 | 42870 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | INFRAWATCH | 1088 |
| 2 | GOOGLE-CLOUD | 1050 |
| 3 | MSFT | 1030 |
| 4 | AL-3 | 1007 |
| 5 | PAN-22 | 962 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | CENSY | 375 |
| 8 | ASEPL-SG | 365 |
| 9 | UCLOUD-US | 264 |
| 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 | 7388 |
| 2 | China | 3136 |
| 3 | United Kingdom | 962 |
| 4 | Germany | 600 |
| 5 | Singapore | 587 |
| 6 | France | 551 |
| 7 | Netherlands | 545 |
| 8 | Hong Kong | 349 |
| 9 | India | 249 |
| 10 | Russian Federation | 243 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 100356 |
| 2 | 1217 | 63785 |
| 3 | 9389 | 53072 |
| 4 | 6018 | 40466 |
| 5 | 2224 | 38114 |
| 6 | 9762 | 36882 |
| 7 | 9022 | 35685 |
| 8 | 2165 | 35596 |
| 9 | 9800 | 35402 |
| 10 | 8061 | 32105 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | INFRAWATCH | 1057 |
| 2 | GOOGLE-CLOUD | 1039 |
| 3 | AL-3 | 1008 |
| 4 | MSFT | 981 |
| 5 | PAN-22 | 960 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | CENSY | 377 |
| 8 | ASEPL-SG | 347 |
| 9 | UCLOUD-US | 264 |
| 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 | 7391 |
| 2 | China | 3165 |
| 3 | United Kingdom | 920 |
| 4 | Germany | 604 |
| 5 | France | 550 |
| 6 | Netherlands | 539 |
| 7 | Singapore | 525 |
| 8 | Hong Kong | 340 |
| 9 | Russian Federation | 276 |
| 10 | Brazil | 242 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 119830 |
| 2 | 2025 | 48878 |
| 3 | 2224 | 36540 |
| 4 | 1217 | 31601 |
| 5 | 52200 | 27836 |
| 6 | 2165 | 27091 |
| 7 | 9022 | 26274 |
| 8 | 9389 | 25454 |
| 9 | 2923 | 24539 |
| 10 | 9762 | 23301 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | INFRAWATCH | 1093 |
| 2 | GOOGLE-CLOUD | 1053 |
| 3 | AL-3 | 996 |
| 4 | MSFT | 983 |
| 5 | PAN-22 | 962 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | CENSY | 378 |
| 8 | ASEPL-SG | 369 |
| 9 | UCLOUD-US | 245 |
| 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 | 7916 |
| 2 | China | 3106 |
| 3 | United Kingdom | 719 |
| 4 | Germany | 672 |
| 5 | Singapore | 623 |
| 6 | Netherlands | 550 |
| 7 | France | 527 |
| 8 | Hong Kong | 297 |
| 9 | Russian Federation | 280 |
| 10 | India | 230 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 205964 |
| 2 | 5242 | 100558 |
| 3 | 6143 | 91050 |
| 4 | 2022 | 87083 |
| 5 | 1573 | 85324 |
| 6 | 1293 | 82643 |
| 7 | 2025 | 69494 |
| 8 | 6509 | 63754 |
| 9 | 8401 | 61724 |
| 10 | 1494 | 60149 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | INFRAWATCH | 1159 |
| 2 | AL-3 | 1058 |
| 3 | GOOGLE-CLOUD | 1038 |
| 4 | MSFT | 1005 |
| 5 | PAN-22 | 962 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | ASEPL-SG | 388 |
| 8 | CENSY | 378 |
| 9 | DE-ALPHA | 262 |
| 10 | UCLOUD-US | 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 | 7538 |
| 2 | China | 2698 |
| 3 | United Kingdom | 765 |
| 4 | Germany | 703 |
| 5 | Singapore | 602 |
| 6 | Netherlands | 573 |
| 7 | France | 543 |
| 8 | Hong Kong | 311 |
| 9 | Russian Federation | 263 |
| 10 | India | 229 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 213882 |
| 2 | 2025 | 74829 |
| 3 | 9022 | 48198 |
| 4 | 2221 | 46605 |
| 5 | 5450 | 37413 |
| 6 | 1146 | 36545 |
| 7 | 5150 | 28944 |
| 8 | 4664 | 27098 |
| 9 | 2022 | 27052 |
| 10 | 5683 | 24581 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | INFRAWATCH | 1162 |
| 2 | AL-3 | 1125 |
| 3 | GOOGLE-CLOUD | 1030 |
| 4 | MSFT | 974 |
| 5 | PAN-22 | 962 |
| 6 | ASEPL-SG | 486 |
| 7 | FR-ONYPHE-20191111 | 480 |
| 8 | CENSY | 378 |
| 9 | UCLOUD-US | 257 |
| 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 | 8123 |
| 2 | China | 2824 |
| 3 | United Kingdom | 827 |
| 4 | Germany | 682 |
| 5 | Singapore | 595 |
| 6 | France | 566 |
| 7 | Netherlands | 548 |
| 8 | Hong Kong | 299 |
| 9 | Russian Federation | 237 |
| 10 | Argentina | 233 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 218648 |
| 2 | 2025 | 67307 |
| 3 | 8888 | 55699 |
| 4 | 7022 | 54448 |
| 5 | 2221 | 46640 |
| 6 | 1222 | 37396 |
| 7 | 1841 | 27056 |
| 8 | 2022 | 26963 |
| 9 | 3921 | 24387 |
| 10 | 2880 | 23081 |
| 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 |