detection period: 2026-09-05 00:00-23:59 UTC
total number of suspected botnet IPs: 19676
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 18604
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 | 1429 |
| 2 | MSFT | 1367 |
| 3 | GOOGLE-CLOUD | 1052 |
| 4 | INFRAWATCH | 1010 |
| 5 | PAN-22 | 956 |
| 6 | ASEPL-SG | 512 |
| 7 | FR-ONYPHE-20191111 | 480 |
| 8 | CENSY | 359 |
| 9 | DE-ALPHA | 306 |
| 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 | 8396 |
| 2 | China | 2554 |
| 3 | United Kingdom | 1049 |
| 4 | Germany | 833 |
| 5 | Singapore | 692 |
| 6 | France | 570 |
| 7 | Netherlands | 537 |
| 8 | Hong Kong | 376 |
| 9 | Russian Federation | 345 |
| 10 | India | 284 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 200388 |
| 2 | 1963 | 68661 |
| 3 | 2222 | 63626 |
| 4 | 2463 | 56269 |
| 5 | 1311 | 50328 |
| 6 | 2562 | 46803 |
| 7 | 2225 | 44978 |
| 8 | 7999 | 44280 |
| 9 | 6379 | 42226 |
| 10 | 3338 | 41937 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1295 |
| 2 | MSFT | 1238 |
| 3 | INFRAWATCH | 1096 |
| 4 | GOOGLE-CLOUD | 1055 |
| 5 | PAN-22 | 953 |
| 6 | ASEPL-SG | 539 |
| 7 | FR-ONYPHE-20191111 | 480 |
| 8 | CENSY | 365 |
| 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 | 8154 |
| 2 | China | 2769 |
| 3 | United Kingdom | 1007 |
| 4 | Singapore | 805 |
| 5 | Germany | 761 |
| 6 | France | 582 |
| 7 | Netherlands | 564 |
| 8 | Hong Kong | 412 |
| 9 | Russian Federation | 377 |
| 10 | India | 292 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 213463 |
| 2 | 6379 | 83340 |
| 3 | 1963 | 80379 |
| 4 | 7018 | 58021 |
| 5 | 1991 | 57564 |
| 6 | 1311 | 57251 |
| 7 | 2222 | 44852 |
| 8 | 8082 | 43995 |
| 9 | 1226 | 39587 |
| 10 | 6123 | 37365 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1379 |
| 2 | AL-3 | 1321 |
| 3 | INFRAWATCH | 1117 |
| 4 | GOOGLE-CLOUD | 1057 |
| 5 | PAN-22 | 955 |
| 6 | ASEPL-SG | 505 |
| 7 | FR-ONYPHE-20191111 | 480 |
| 8 | CENSY | 371 |
| 9 | DE-ALPHA | 251 |
| 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 | 9026 |
| 2 | China | 2946 |
| 3 | United Kingdom | 1094 |
| 4 | Singapore | 817 |
| 5 | Germany | 783 |
| 6 | Netherlands | 597 |
| 7 | France | 577 |
| 8 | Hong Kong | 382 |
| 9 | Russian Federation | 308 |
| 10 | India | 294 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 147882 |
| 2 | 1963 | 73833 |
| 3 | 1208 | 69939 |
| 4 | 1311 | 56418 |
| 5 | 6379 | 50873 |
| 6 | 3338 | 47654 |
| 7 | 2178 | 45846 |
| 8 | 9011 | 42006 |
| 9 | 8082 | 41259 |
| 10 | 1443 | 40181 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1426 |
| 2 | MSFT | 1365 |
| 3 | INFRAWATCH | 1145 |
| 4 | GOOGLE-CLOUD | 1049 |
| 5 | PAN-22 | 956 |
| 6 | ASEPL-SG | 526 |
| 7 | FR-ONYPHE-20191111 | 480 |
| 8 | CENSY | 376 |
| 9 | DE-ALPHA | 300 |
| 10 | UCLOUD-US | 255 |
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 | 8502 |
| 2 | China | 3190 |
| 3 | United Kingdom | 1302 |
| 4 | Singapore | 840 |
| 5 | Germany | 810 |
| 6 | Netherlands | 608 |
| 7 | France | 590 |
| 8 | Hong Kong | 384 |
| 9 | Russian Federation | 303 |
| 10 | India | 303 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 117646 |
| 2 | 8843 | 36116 |
| 3 | 1212 | 34701 |
| 4 | 6379 | 29383 |
| 5 | 3520 | 27469 |
| 6 | 5721 | 26717 |
| 7 | 4444 | 24334 |
| 8 | 6018 | 23129 |
| 9 | 3338 | 21385 |
| 10 | 808 | 21183 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1536 |
| 2 | AL-3 | 1395 |
| 3 | GOOGLE-CLOUD | 1022 |
| 4 | PAN-22 | 955 |
| 5 | INFRAWATCH | 920 |
| 6 | ASEPL-SG | 580 |
| 7 | FR-ONYPHE-20191111 | 480 |
| 8 | CENSY | 366 |
| 9 | CMNET | 318 |
| 10 | DE-ALPHA | 299 |
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 | 9348 |
| 2 | China | 4091 |
| 3 | United Kingdom | 1309 |
| 4 | Singapore | 895 |
| 5 | Germany | 820 |
| 6 | France | 585 |
| 7 | Netherlands | 580 |
| 8 | Hong Kong | 416 |
| 9 | India | 348 |
| 10 | European Union | 342 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 165084 |
| 2 | 5721 | 29855 |
| 3 | 3001 | 28426 |
| 4 | 4172 | 28206 |
| 5 | 8786 | 26218 |
| 6 | 1234 | 25691 |
| 7 | 3913 | 24683 |
| 8 | 7236 | 23997 |
| 9 | 3242 | 22297 |
| 10 | 6018 | 21807 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1373 |
| 2 | MSFT | 1366 |
| 3 | INFRAWATCH | 1177 |
| 4 | GOOGLE-CLOUD | 1058 |
| 5 | PAN-22 | 952 |
| 6 | ASEPL-SG | 535 |
| 7 | FR-ONYPHE-20191111 | 480 |
| 8 | CENSY | 375 |
| 9 | UCLOUD-US | 247 |
| 10 | Stella-IT-KRF | 242 |
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 | 8704 |
| 2 | China | 3837 |
| 3 | United Kingdom | 1285 |
| 4 | Germany | 933 |
| 5 | Singapore | 828 |
| 6 | Netherlands | 580 |
| 7 | France | 566 |
| 8 | Hong Kong | 403 |
| 9 | India | 309 |
| 10 | Russian Federation | 302 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 171801 |
| 2 | 3030 | 52924 |
| 3 | 1111 | 46587 |
| 4 | 3740 | 40595 |
| 5 | 4704 | 38627 |
| 6 | 2758 | 34956 |
| 7 | 3990 | 31476 |
| 8 | 3493 | 30289 |
| 9 | 3302 | 30157 |
| 10 | 1022 | 29610 |
| 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 |