detection period: 2026-07-20 00:00-23:59 UTC
total number of suspected botnet IPs: 18080
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 17267
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 | 1326 |
| 2 | INFRAWATCH | 1092 |
| 3 | GOOGLE-CLOUD | 1068 |
| 4 | AL-3 | 973 |
| 5 | PAN-22 | 961 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 376 |
| 8 | ASEPL-SG | 366 |
| 9 | cloud | 281 |
| 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 | 7536 |
| 2 | China | 3986 |
| 3 | United Kingdom | 1136 |
| 4 | Germany | 591 |
| 5 | Netherlands | 570 |
| 6 | Singapore | 467 |
| 7 | France | 413 |
| 8 | Hong Kong | 276 |
| 9 | Russian Federation | 261 |
| 10 | India | 219 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5422 | 109216 |
| 2 | 5900 | 82230 |
| 3 | 2422 | 71442 |
| 4 | 2758 | 54317 |
| 5 | 9617 | 49354 |
| 6 | 2266 | 47921 |
| 7 | 9022 | 36181 |
| 8 | 11483 | 34138 |
| 9 | 8001 | 30037 |
| 10 | 23 | 29934 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1312 |
| 2 | GOOGLE-CLOUD | 1040 |
| 3 | INFRAWATCH | 1005 |
| 4 | AL-3 | 969 |
| 5 | PAN-22 | 959 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 374 |
| 8 | ASEPL-SG | 323 |
| 9 | cloud | 243 |
| 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 | 8134 |
| 2 | China | 3946 |
| 3 | United Kingdom | 961 |
| 4 | Netherlands | 541 |
| 5 | Germany | 497 |
| 6 | Singapore | 459 |
| 7 | France | 410 |
| 8 | Hong Kong | 271 |
| 9 | South Korea | 203 |
| 10 | India | 172 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 101487 |
| 2 | 5422 | 98821 |
| 3 | 3822 | 92258 |
| 4 | 2422 | 71712 |
| 5 | 6415 | 54885 |
| 6 | 5534 | 49527 |
| 7 | 2266 | 49270 |
| 8 | 9022 | 44657 |
| 9 | 7022 | 41108 |
| 10 | 15844 | 41105 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1337 |
| 2 | INFRAWATCH | 1088 |
| 3 | GOOGLE-CLOUD | 1045 |
| 4 | AL-3 | 1009 |
| 5 | PAN-22 | 960 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | ASEPL-SG | 392 |
| 8 | CENSY | 384 |
| 9 | cloud | 288 |
| 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 | 7521 |
| 2 | China | 4138 |
| 3 | United Kingdom | 1111 |
| 4 | Netherlands | 548 |
| 5 | Singapore | 512 |
| 6 | Germany | 431 |
| 7 | France | 425 |
| 8 | Hong Kong | 248 |
| 9 | India | 241 |
| 10 | South Korea | 209 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 3822 | 117119 |
| 2 | 5900 | 79192 |
| 3 | 2422 | 61150 |
| 4 | 7022 | 59026 |
| 5 | 3708 | 54441 |
| 6 | 2266 | 51132 |
| 7 | 9022 | 45689 |
| 8 | 3950 | 41128 |
| 9 | 9131 | 36735 |
| 10 | 2022 | 35479 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1350 |
| 2 | AL-3 | 1131 |
| 3 | INFRAWATCH | 1098 |
| 4 | GOOGLE-CLOUD | 1046 |
| 5 | PAN-22 | 961 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 383 |
| 8 | ASEPL-SG | 358 |
| 9 | FR-ONYPHE-20221109 | 240 |
| 10 | CMNET | 230 |
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 | 7846 |
| 2 | China | 4086 |
| 3 | United Kingdom | 1093 |
| 4 | Netherlands | 543 |
| 5 | Germany | 484 |
| 6 | Singapore | 464 |
| 7 | France | 403 |
| 8 | India | 250 |
| 9 | Hong Kong | 240 |
| 10 | European Union | 196 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 7022 | 58820 |
| 2 | 5900 | 45905 |
| 3 | 3822 | 43316 |
| 4 | 2022 | 38833 |
| 5 | 9222 | 33098 |
| 6 | 1022 | 32257 |
| 7 | 4122 | 32132 |
| 8 | 222 | 30131 |
| 9 | 22 | 29071 |
| 10 | 6522 | 28967 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1294 |
| 2 | INFRAWATCH | 1073 |
| 3 | GOOGLE-CLOUD | 1054 |
| 4 | AL-3 | 985 |
| 5 | PAN-22 | 960 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 377 |
| 8 | ASEPL-SG | 356 |
| 9 | cloud | 272 |
| 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 | 7663 |
| 2 | China | 4041 |
| 3 | United Kingdom | 856 |
| 4 | Netherlands | 535 |
| 5 | Singapore | 442 |
| 6 | Germany | 433 |
| 7 | France | 422 |
| 8 | India | 296 |
| 9 | Hong Kong | 239 |
| 10 | Russian Federation | 209 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 7022 | 51620 |
| 2 | 5900 | 33910 |
| 3 | 1022 | 32974 |
| 4 | 2022 | 32814 |
| 5 | 4122 | 30687 |
| 6 | 9222 | 29285 |
| 7 | 5822 | 28712 |
| 8 | 222 | 28627 |
| 9 | 6522 | 28152 |
| 10 | 4722 | 27861 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1327 |
| 2 | GOOGLE-CLOUD | 1044 |
| 3 | AL-3 | 968 |
| 4 | PAN-22 | 961 |
| 5 | INFRAWATCH | 892 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 381 |
| 8 | ASEPL-SG | 341 |
| 9 | cloud | 247 |
| 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 | 7990 |
| 2 | China | 3649 |
| 3 | United Kingdom | 1057 |
| 4 | Netherlands | 536 |
| 5 | France | 429 |
| 6 | Singapore | 425 |
| 7 | Hong Kong | 279 |
| 8 | India | 250 |
| 9 | Germany | 235 |
| 10 | South Korea | 197 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5822 | 91180 |
| 2 | 7022 | 54676 |
| 3 | 8559 | 43550 |
| 4 | 2122 | 34780 |
| 5 | 4122 | 33964 |
| 6 | 1022 | 33144 |
| 7 | 5900 | 31268 |
| 8 | 822 | 30525 |
| 9 | 4322 | 30464 |
| 10 | 622 | 29964 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1401 |
| 2 | AL-3 | 1387 |
| 3 | INFRAWATCH | 1118 |
| 4 | GOOGLE-CLOUD | 1040 |
| 5 | PAN-22 | 960 |
| 6 | ASEPL-SG | 522 |
| 7 | VOLCANO-ENGINE | 469 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 379 |
| 10 | cloud | 314 |
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 | 8775 |
| 2 | China | 5005 |
| 3 | United Kingdom | 1042 |
| 4 | Singapore | 709 |
| 5 | Netherlands | 578 |
| 6 | Germany | 488 |
| 7 | France | 419 |
| 8 | Hong Kong | 323 |
| 9 | Indonesia | 306 |
| 10 | South Korea | 275 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 14406 | 46907 |
| 2 | 7606 | 43777 |
| 3 | 4910 | 42055 |
| 4 | 9872 | 38823 |
| 5 | 1522 | 35668 |
| 6 | 2122 | 35211 |
| 7 | 4122 | 34054 |
| 8 | 5900 | 33456 |
| 9 | 5822 | 33020 |
| 10 | 9999 | 32036 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1397 |
| 2 | AL-3 | 1397 |
| 3 | GOOGLE-CLOUD | 1061 |
| 4 | INFRAWATCH | 1056 |
| 5 | PAN-22 | 963 |
| 6 | ASEPL-SG | 523 |
| 7 | VOLCANO-ENGINE | 462 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 375 |
| 10 | cloud | 322 |
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 | 8529 |
| 2 | China | 4963 |
| 3 | United Kingdom | 803 |
| 4 | Singapore | 721 |
| 5 | Netherlands | 604 |
| 6 | Germany | 470 |
| 7 | France | 423 |
| 8 | Indonesia | 317 |
| 9 | Hong Kong | 317 |
| 10 | South Korea | 275 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 9999 | 57595 |
| 2 | 9011 | 39039 |
| 3 | 22 | 38869 |
| 4 | 3333 | 35960 |
| 5 | 622 | 34221 |
| 6 | 14387 | 34094 |
| 7 | 4122 | 33130 |
| 8 | 4322 | 31568 |
| 9 | 2122 | 31202 |
| 10 | 5781 | 31002 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1412 |
| 2 | AL-3 | 1381 |
| 3 | INFRAWATCH | 1067 |
| 4 | GOOGLE-CLOUD | 1057 |
| 5 | PAN-22 | 961 |
| 6 | ASEPL-SG | 567 |
| 7 | VOLCANO-ENGINE | 471 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 383 |
| 10 | cloud | 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 | 8928 |
| 2 | China | 4948 |
| 3 | United Kingdom | 1179 |
| 4 | Singapore | 798 |
| 5 | Netherlands | 621 |
| 6 | Germany | 522 |
| 7 | France | 440 |
| 8 | Hong Kong | 322 |
| 9 | South Korea | 286 |
| 10 | Indonesia | 279 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 622 | 38284 |
| 2 | 4122 | 38027 |
| 3 | 4322 | 37648 |
| 4 | 2023 | 37052 |
| 5 | 9999 | 35501 |
| 6 | 222 | 34435 |
| 7 | 9022 | 34046 |
| 8 | 4722 | 31777 |
| 9 | 2022 | 31450 |
| 10 | 5322 | 31444 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1489 |
| 2 | MSFT | 1362 |
| 3 | INFRAWATCH | 1087 |
| 4 | GOOGLE-CLOUD | 1048 |
| 5 | PAN-22 | 961 |
| 6 | ASEPL-SG | 517 |
| 7 | VOLCANO-ENGINE | 468 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 381 |
| 10 | CMNET | 286 |
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 | 8222 |
| 2 | China | 6122 |
| 3 | United Kingdom | 1078 |
| 4 | Singapore | 715 |
| 5 | Netherlands | 629 |
| 6 | Germany | 535 |
| 7 | France | 447 |
| 8 | Hong Kong | 326 |
| 9 | Indonesia | 307 |
| 10 | South Korea | 290 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 2023 | 104123 |
| 2 | 5900 | 99660 |
| 3 | 3322 | 44636 |
| 4 | 4122 | 41076 |
| 5 | 4322 | 38750 |
| 6 | 622 | 36927 |
| 7 | 222 | 35057 |
| 8 | 2022 | 34584 |
| 9 | 5222 | 33775 |
| 10 | 5322 | 33682 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1379 |
| 2 | AL-3 | 1378 |
| 3 | INFRAWATCH | 1089 |
| 4 | GOOGLE-CLOUD | 1057 |
| 5 | PAN-22 | 962 |
| 6 | ASEPL-SG | 512 |
| 7 | VOLCANO-ENGINE | 470 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | UNICOM | 427 |
| 10 | CENSY | 381 |
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 | China | 8597 |
| 2 | United States | 8287 |
| 3 | United Kingdom | 1031 |
| 4 | Singapore | 707 |
| 5 | Netherlands | 609 |
| 6 | Germany | 566 |
| 7 | France | 469 |
| 8 | Hong Kong | 328 |
| 9 | Indonesia | 323 |
| 10 | India | 315 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 128099 |
| 2 | 2023 | 56007 |
| 3 | 3322 | 50226 |
| 4 | 4122 | 37820 |
| 5 | 622 | 36140 |
| 6 | 9022 | 35345 |
| 7 | 222 | 35076 |
| 8 | 4322 | 35005 |
| 9 | 5222 | 33800 |
| 10 | 2022 | 33403 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1429 |
| 2 | MSFT | 1393 |
| 3 | INFRAWATCH | 1090 |
| 4 | GOOGLE-CLOUD | 1044 |
| 5 | PAN-22 | 962 |
| 6 | ASEPL-SG | 548 |
| 7 | VOLCANO-ENGINE | 473 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 373 |
| 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 | 8479 |
| 2 | China | 3986 |
| 3 | United Kingdom | 1037 |
| 4 | Singapore | 797 |
| 5 | Germany | 684 |
| 6 | Netherlands | 645 |
| 7 | France | 493 |
| 8 | Hong Kong | 340 |
| 9 | Indonesia | 337 |
| 10 | India | 300 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 125900 |
| 2 | 622 | 38450 |
| 3 | 9022 | 38096 |
| 4 | 222 | 37833 |
| 5 | 2022 | 36951 |
| 6 | 8522 | 36497 |
| 7 | 9222 | 35974 |
| 8 | 822 | 34867 |
| 9 | 1522 | 34705 |
| 10 | 7022 | 34533 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1426 |
| 2 | AL-3 | 1408 |
| 3 | GOOGLE-CLOUD | 1081 |
| 4 | INFRAWATCH | 1049 |
| 5 | PAN-22 | 959 |
| 6 | ASEPL-SG | 563 |
| 7 | VOLCANO-ENGINE | 511 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 375 |
| 10 | cloud | 285 |
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 | 8639 |
| 2 | China | 3819 |
| 3 | United Kingdom | 1081 |
| 4 | Germany | 918 |
| 5 | Singapore | 823 |
| 6 | Netherlands | 605 |
| 7 | France | 465 |
| 8 | India | 365 |
| 9 | Indonesia | 356 |
| 10 | South Korea | 303 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 125382 |
| 2 | 8522 | 40731 |
| 3 | 9022 | 39822 |
| 4 | 1022 | 38945 |
| 5 | 422 | 37915 |
| 6 | 622 | 37821 |
| 7 | 6522 | 36408 |
| 8 | 1522 | 35988 |
| 9 | 922 | 35769 |
| 10 | 822 | 35611 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1522 |
| 2 | MSFT | 1364 |
| 3 | GOOGLE-CLOUD | 1064 |
| 4 | PAN-22 | 961 |
| 5 | INFRAWATCH | 858 |
| 6 | ASEPL-SG | 548 |
| 7 | VOLCANO-ENGINE | 463 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 381 |
| 10 | DE-ALPHA | 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 | 8803 |
| 2 | China | 3625 |
| 3 | United Kingdom | 1107 |
| 4 | Singapore | 777 |
| 5 | Germany | 761 |
| 6 | Netherlands | 563 |
| 7 | France | 492 |
| 8 | Hong Kong | 295 |
| 9 | Indonesia | 265 |
| 10 | India | 254 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 139753 |
| 2 | 2222 | 39736 |
| 3 | 22 | 32992 |
| 4 | 422 | 31711 |
| 5 | 922 | 30515 |
| 6 | 6522 | 29887 |
| 7 | 8522 | 28399 |
| 8 | 1922 | 27800 |
| 9 | 1022 | 26968 |
| 10 | 1122 | 26542 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1494 |
| 2 | MSFT | 1418 |
| 3 | INFRAWATCH | 1112 |
| 4 | GOOGLE-CLOUD | 1074 |
| 5 | PAN-22 | 965 |
| 6 | ASEPL-SG | 537 |
| 7 | VOLCANO-ENGINE | 459 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 371 |
| 10 | DE-ALPHA | 363 |
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 | 8547 |
| 2 | China | 3790 |
| 3 | United Kingdom | 1142 |
| 4 | Germany | 990 |
| 5 | Singapore | 788 |
| 6 | Netherlands | 544 |
| 7 | France | 468 |
| 8 | Hong Kong | 285 |
| 9 | Indonesia | 278 |
| 10 | India | 237 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 59051 |
| 2 | 22 | 38301 |
| 3 | 1433 | 31366 |
| 4 | 2122 | 27636 |
| 5 | 33222 | 19656 |
| 6 | 6001 | 16676 |
| 7 | 23 | 14625 |
| 8 | 5902 | 13386 |
| 9 | 10000 | 13150 |
| 10 | 30011 | 11361 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1446 |
| 2 | MSFT | 1394 |
| 3 | GOOGLE-CLOUD | 1047 |
| 4 | PAN-22 | 962 |
| 5 | INFRAWATCH | 806 |
| 6 | ASEPL-SG | 559 |
| 7 | VOLCANO-ENGINE | 464 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | cloud | 323 |
| 10 | DE-ALPHA | 322 |
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 | 9080 |
| 2 | China | 4103 |
| 3 | Germany | 889 |
| 4 | Singapore | 807 |
| 5 | United Kingdom | 711 |
| 6 | Netherlands | 535 |
| 7 | France | 470 |
| 8 | South Korea | 316 |
| 9 | India | 305 |
| 10 | Hong Kong | 304 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 66244 |
| 2 | 8015 | 53588 |
| 3 | 22 | 53003 |
| 4 | 888 | 37213 |
| 5 | 2078 | 37029 |
| 6 | 2222 | 34335 |
| 7 | 1433 | 33030 |
| 8 | 2122 | 32299 |
| 9 | 9011 | 29873 |
| 10 | 8082 | 29182 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1408 |
| 2 | MSFT | 1367 |
| 3 | INFRAWATCH | 1133 |
| 4 | GOOGLE-CLOUD | 1055 |
| 5 | PAN-22 | 963 |
| 6 | ASEPL-SG | 571 |
| 7 | VOLCANO-ENGINE | 473 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | cloud | 325 |
| 10 | DE-ALPHA | 322 |
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 | 8241 |
| 2 | China | 4042 |
| 3 | United Kingdom | 1097 |
| 4 | Germany | 948 |
| 5 | Singapore | 830 |
| 6 | Netherlands | 557 |
| 7 | France | 478 |
| 8 | India | 352 |
| 9 | South Korea | 316 |
| 10 | Hong Kong | 308 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 6371 | 117601 |
| 2 | 5900 | 71036 |
| 3 | 5640 | 62819 |
| 4 | 6911 | 61271 |
| 5 | 7348 | 59257 |
| 6 | 9294 | 55041 |
| 7 | 2684 | 54438 |
| 8 | 8015 | 54177 |
| 9 | 14177 | 51657 |
| 10 | 11382 | 48021 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1540 |
| 2 | MSFT | 1417 |
| 3 | INFRAWATCH | 1116 |
| 4 | GOOGLE-CLOUD | 1079 |
| 5 | PAN-22 | 965 |
| 6 | ASEPL-SG | 510 |
| 7 | VOLCANO-ENGINE | 466 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 373 |
| 10 | cloud | 293 |
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 | 9255 |
| 2 | China | 3924 |
| 3 | United Kingdom | 1113 |
| 4 | Germany | 815 |
| 5 | Singapore | 770 |
| 6 | Netherlands | 568 |
| 7 | France | 476 |
| 8 | Hong Kong | 341 |
| 9 | South Korea | 312 |
| 10 | India | 300 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 6879 | 133373 |
| 2 | 9665 | 96327 |
| 3 | 4771 | 69795 |
| 4 | 4683 | 69551 |
| 5 | 5900 | 65386 |
| 6 | 888 | 65376 |
| 7 | 8015 | 57532 |
| 8 | 12007 | 50323 |
| 9 | 2078 | 48866 |
| 10 | 13490 | 42977 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1435 |
| 2 | MSFT | 1379 |
| 3 | INFRAWATCH | 1075 |
| 4 | GOOGLE-CLOUD | 1064 |
| 5 | PAN-22 | 964 |
| 6 | ASEPL-SG | 551 |
| 7 | VOLCANO-ENGINE | 470 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 379 |
| 10 | UNICOM | 359 |
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 | 9045 |
| 2 | China | 7734 |
| 3 | United Kingdom | 849 |
| 4 | Singapore | 808 |
| 5 | Germany | 786 |
| 6 | Netherlands | 572 |
| 7 | France | 492 |
| 8 | South Korea | 331 |
| 9 | Hong Kong | 328 |
| 10 | India | 312 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 2282 | 84318 |
| 2 | 888 | 74481 |
| 3 | 5900 | 60973 |
| 4 | 8015 | 60432 |
| 5 | 2078 | 53679 |
| 6 | 9901 | 49198 |
| 7 | 2122 | 47310 |
| 8 | 2222 | 44780 |
| 9 | 8088 | 40596 |
| 10 | 7777 | 33791 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1438 |
| 2 | MSFT | 1423 |
| 3 | INFRAWATCH | 1075 |
| 4 | GOOGLE-CLOUD | 1044 |
| 5 | PAN-22 | 961 |
| 6 | ASEPL-SG | 575 |
| 7 | VOLCANO-ENGINE | 475 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 382 |
| 10 | DE-ALPHA | 278 |
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 | 8460 |
| 2 | China | 3980 |
| 3 | United Kingdom | 994 |
| 4 | Germany | 867 |
| 5 | Singapore | 803 |
| 6 | France | 561 |
| 7 | Netherlands | 554 |
| 8 | India | 358 |
| 9 | South Korea | 349 |
| 10 | Hong Kong | 337 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 2282 | 84415 |
| 2 | 888 | 74806 |
| 3 | 9443 | 60425 |
| 4 | 2122 | 51959 |
| 5 | 5900 | 50633 |
| 6 | 8015 | 50594 |
| 7 | 2078 | 49555 |
| 8 | 8088 | 45554 |
| 9 | 2222 | 44750 |
| 10 | 25 | 34357 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1436 |
| 2 | MSFT | 1399 |
| 3 | INFRAWATCH | 1137 |
| 4 | GOOGLE-CLOUD | 1045 |
| 5 | PAN-22 | 960 |
| 6 | ASEPL-SG | 574 |
| 7 | VOLCANO-ENGINE | 479 |
| 8 | FR-ONYPHE-20191111 | 448 |
| 9 | CENSY | 378 |
| 10 | DE-ALPHA | 323 |
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 | 8933 |
| 2 | China | 3915 |
| 3 | United Kingdom | 1075 |
| 4 | Germany | 965 |
| 5 | Singapore | 813 |
| 6 | Netherlands | 581 |
| 7 | France | 563 |
| 8 | South Korea | 365 |
| 9 | India | 362 |
| 10 | Hong Kong | 336 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 2282 | 65544 |
| 2 | 888 | 63247 |
| 3 | 9443 | 51779 |
| 4 | 3306 | 48689 |
| 5 | 5900 | 48407 |
| 6 | 2122 | 43054 |
| 7 | 8015 | 42059 |
| 8 | 8088 | 41619 |
| 9 | 2078 | 31909 |
| 10 | 2222 | 31282 |