detection period: 2026-10-06 00:00-23:59 UTC
total number of suspected botnet IPs: 20769
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 19415
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 | 1506 |
| 2 | AL-3 | 1304 |
| 3 | GOOGLE-CLOUD | 1059 |
| 4 | PAN-22 | 934 |
| 5 | CLOUDFLARENET | 785 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | ASEPL-SG | 458 |
| 8 | CENSY | 374 |
| 9 | INFRAWATCH | 316 |
| 10 | CMNET | 251 |
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 | 9598 |
| 2 | China | 4571 |
| 3 | United Kingdom | 692 |
| 4 | Singapore | 667 |
| 5 | France | 550 |
| 6 | Hong Kong | 319 |
| 7 | Netherlands | 303 |
| 8 | Germany | 288 |
| 9 | Russian Federation | 215 |
| 10 | Indonesia | 209 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 163082 |
| 2 | 2095 | 84347 |
| 3 | 322 | 43478 |
| 4 | 12022 | 39591 |
| 5 | 6924 | 38338 |
| 6 | 6600 | 33664 |
| 7 | 23 | 32945 |
| 8 | 55555 | 27624 |
| 9 | 9339 | 26747 |
| 10 | 4117 | 25448 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1552 |
| 2 | AL-3 | 1274 |
| 3 | GOOGLE-CLOUD | 1070 |
| 4 | PAN-22 | 933 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 456 |
| 7 | CENSY | 374 |
| 8 | INFRAWATCH | 321 |
| 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 | 8572 |
| 2 | China | 4060 |
| 3 | Singapore | 692 |
| 4 | United Kingdom | 687 |
| 5 | France | 636 |
| 6 | Germany | 449 |
| 7 | Netherlands | 325 |
| 8 | Hong Kong | 314 |
| 9 | South Korea | 261 |
| 10 | Indonesia | 223 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 63937 |
| 2 | 1023 | 52757 |
| 3 | 12022 | 39362 |
| 4 | 2095 | 32176 |
| 5 | 23 | 32082 |
| 6 | 7093 | 24697 |
| 7 | 8025 | 22927 |
| 8 | 8030 | 22832 |
| 9 | 7094 | 22468 |
| 10 | 8027 | 22466 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1530 |
| 2 | AL-3 | 1372 |
| 3 | GOOGLE-CLOUD | 1058 |
| 4 | PAN-22 | 940 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 462 |
| 7 | CENSY | 376 |
| 8 | DE-ALPHA | 327 |
| 9 | INFRAWATCH | 312 |
| 10 | ALISOFT | 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 | 9093 |
| 2 | China | 3842 |
| 3 | Germany | 705 |
| 4 | United Kingdom | 673 |
| 5 | Singapore | 647 |
| 6 | France | 634 |
| 7 | Netherlands | 332 |
| 8 | Hong Kong | 258 |
| 9 | South Korea | 241 |
| 10 | Russian Federation | 228 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 93307 |
| 2 | 1023 | 85355 |
| 3 | 2095 | 55226 |
| 4 | 8020 | 37130 |
| 5 | 12022 | 35927 |
| 6 | 2425 | 33196 |
| 7 | 23 | 32089 |
| 8 | 7094 | 31214 |
| 9 | 8030 | 30084 |
| 10 | 888 | 28524 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1504 |
| 2 | AL-3 | 1359 |
| 3 | GOOGLE-CLOUD | 1058 |
| 4 | PAN-22 | 950 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 467 |
| 7 | CENSY | 376 |
| 8 | DE-ALPHA | 327 |
| 9 | INFRAWATCH | 311 |
| 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 | 7960 |
| 2 | China | 3843 |
| 3 | United Kingdom | 671 |
| 4 | Singapore | 626 |
| 5 | France | 575 |
| 6 | Germany | 574 |
| 7 | Netherlands | 336 |
| 8 | Hong Kong | 231 |
| 9 | South Korea | 216 |
| 10 | Russian Federation | 204 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 149339 |
| 2 | 2095 | 52657 |
| 3 | 1023 | 47935 |
| 4 | 8020 | 34769 |
| 5 | 7094 | 30565 |
| 6 | 8030 | 29622 |
| 7 | 888 | 29549 |
| 8 | 23 | 28863 |
| 9 | 8025 | 28577 |
| 10 | 22 | 28421 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1486 |
| 2 | AL-3 | 1339 |
| 3 | GOOGLE-CLOUD | 1064 |
| 4 | PAN-22 | 950 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 461 |
| 7 | CENSY | 376 |
| 8 | INFRAWATCH | 334 |
| 9 | DE-ALPHA | 311 |
| 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 | 8518 |
| 2 | China | 3944 |
| 3 | United Kingdom | 698 |
| 4 | Singapore | 622 |
| 5 | Germany | 572 |
| 6 | France | 567 |
| 7 | Netherlands | 337 |
| 8 | Hong Kong | 310 |
| 9 | South Korea | 278 |
| 10 | Russian Federation | 234 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 145830 |
| 2 | 55555 | 104578 |
| 3 | 2095 | 46038 |
| 4 | 2022 | 35511 |
| 5 | 8020 | 33233 |
| 6 | 888 | 31741 |
| 7 | 23 | 30707 |
| 8 | 7094 | 30136 |
| 9 | 22 | 28992 |
| 10 | 8088 | 28481 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1512 |
| 2 | AL-3 | 1333 |
| 3 | GOOGLE-CLOUD | 1067 |
| 4 | PAN-22 | 950 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 459 |
| 7 | INFRAWATCH | 388 |
| 8 | CENSY | 375 |
| 9 | DE-ALPHA | 328 |
| 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 | 9054 |
| 2 | China | 4072 |
| 3 | United Kingdom | 779 |
| 4 | Singapore | 633 |
| 5 | France | 574 |
| 6 | Germany | 566 |
| 7 | Netherlands | 334 |
| 8 | South Korea | 290 |
| 9 | Hong Kong | 287 |
| 10 | Russian Federation | 256 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 202712 |
| 2 | 55555 | 135917 |
| 3 | 2095 | 49484 |
| 4 | 8020 | 31453 |
| 5 | 8027 | 31287 |
| 6 | 888 | 31181 |
| 7 | 7100 | 30217 |
| 8 | 7094 | 29132 |
| 9 | 8025 | 29097 |
| 10 | 22 | 27852 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1518 |
| 2 | AL-3 | 1366 |
| 3 | GOOGLE-CLOUD | 1061 |
| 4 | PAN-22 | 928 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 452 |
| 7 | INFRAWATCH | 382 |
| 8 | CENSY | 374 |
| 9 | DE-ALPHA | 277 |
| 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 | 8420 |
| 2 | China | 3687 |
| 3 | United Kingdom | 659 |
| 4 | Singapore | 615 |
| 5 | Germany | 582 |
| 6 | France | 575 |
| 7 | Netherlands | 308 |
| 8 | South Korea | 265 |
| 9 | India | 244 |
| 10 | Hong Kong | 243 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 212837 |
| 2 | 55555 | 121801 |
| 3 | 8085 | 87966 |
| 4 | 2095 | 76973 |
| 5 | 2078 | 64104 |
| 6 | 8025 | 43140 |
| 7 | 9999 | 42795 |
| 8 | 2222 | 40318 |
| 9 | 8027 | 39122 |
| 10 | 7100 | 34895 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1519 |
| 2 | AL-3 | 1318 |
| 3 | GOOGLE-CLOUD | 1055 |
| 4 | PAN-22 | 879 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 449 |
| 7 | CENSY | 373 |
| 8 | INFRAWATCH | 344 |
| 9 | DE-ALPHA | 317 |
| 10 | DO-13 | 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 | 8963 |
| 2 | China | 3795 |
| 3 | United Kingdom | 728 |
| 4 | Singapore | 588 |
| 5 | Germany | 580 |
| 6 | France | 565 |
| 7 | Netherlands | 313 |
| 8 | Hong Kong | 302 |
| 9 | South Korea | 292 |
| 10 | Russian Federation | 226 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 192649 |
| 2 | 2222 | 63397 |
| 3 | 9999 | 62246 |
| 4 | 8020 | 41993 |
| 5 | 8000 | 41712 |
| 6 | 9011 | 38529 |
| 7 | 52885 | 36821 |
| 8 | 2177 | 36667 |
| 9 | 7283 | 35349 |
| 10 | 8088 | 34087 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1467 |
| 2 | AL-3 | 1291 |
| 3 | GOOGLE-CLOUD | 1052 |
| 4 | PAN-22 | 938 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 429 |
| 7 | CENSY | 377 |
| 8 | INFRAWATCH | 338 |
| 9 | DE-ALPHA | 303 |
| 10 | CMNET | 270 |
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 | 8283 |
| 2 | China | 3660 |
| 3 | United Kingdom | 753 |
| 4 | Singapore | 576 |
| 5 | Germany | 576 |
| 6 | France | 564 |
| 7 | Hong Kong | 306 |
| 8 | Netherlands | 296 |
| 9 | South Korea | 267 |
| 10 | Indonesia | 264 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 166880 |
| 2 | 7777 | 73121 |
| 3 | 5357 | 45903 |
| 4 | 2222 | 45094 |
| 5 | 8020 | 41569 |
| 6 | 56641 | 33605 |
| 7 | 5000 | 32731 |
| 8 | 2000 | 32425 |
| 9 | 8027 | 31731 |
| 10 | 7100 | 29657 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1434 |
| 2 | AL-3 | 1238 |
| 3 | GOOGLE-CLOUD | 1018 |
| 4 | PAN-22 | 938 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 428 |
| 7 | CENSY | 377 |
| 8 | INFRAWATCH | 301 |
| 9 | DE-ALPHA | 301 |
| 10 | CMNET | 257 |
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 | 8519 |
| 2 | China | 3708 |
| 3 | United Kingdom | 750 |
| 4 | France | 584 |
| 5 | Singapore | 572 |
| 6 | Germany | 552 |
| 7 | Hong Kong | 308 |
| 8 | South Korea | 271 |
| 9 | Netherlands | 241 |
| 10 | Russian Federation | 237 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 172510 |
| 2 | 8000 | 166063 |
| 3 | 2078 | 143591 |
| 4 | 7777 | 100454 |
| 5 | 2095 | 66213 |
| 6 | 2222 | 62683 |
| 7 | 2000 | 51942 |
| 8 | 2617 | 43762 |
| 9 | 19233 | 43655 |
| 10 | 8020 | 43347 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | CLOUDFLARENET | 1509 |
| 2 | MSFT | 1450 |
| 3 | AL-3 | 1241 |
| 4 | GOOGLE-CLOUD | 1021 |
| 5 | PAN-22 | 953 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | ASEPL-SG | 419 |
| 8 | CENSY | 373 |
| 9 | INFRAWATCH | 339 |
| 10 | CMNET | 268 |
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 | 9113 |
| 2 | China | 3628 |
| 3 | Singapore | 584 |
| 4 | France | 562 |
| 5 | United Kingdom | 521 |
| 6 | Germany | 373 |
| 7 | Hong Kong | 288 |
| 8 | South Korea | 282 |
| 9 | Netherlands | 247 |
| 10 | Russian Federation | 209 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 7777 | 219954 |
| 2 | 5900 | 131920 |
| 3 | 8000 | 73734 |
| 4 | 2078 | 71259 |
| 5 | 9222 | 56563 |
| 6 | 8020 | 42289 |
| 7 | 2000 | 38421 |
| 8 | 2222 | 37649 |
| 9 | 2095 | 37017 |
| 10 | 24022 | 35819 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1418 |
| 2 | AL-3 | 1291 |
| 3 | GOOGLE-CLOUD | 1019 |
| 4 | PAN-22 | 953 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 460 |
| 7 | CENSY | 376 |
| 8 | INFRAWATCH | 367 |
| 9 | CMNET | 267 |
| 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 | 7893 |
| 2 | China | 3341 |
| 3 | Singapore | 619 |
| 4 | France | 555 |
| 5 | United Kingdom | 526 |
| 6 | Germany | 385 |
| 7 | Hong Kong | 313 |
| 8 | Netherlands | 295 |
| 9 | South Korea | 264 |
| 10 | Russian Federation | 245 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 7777 | 230405 |
| 2 | 5900 | 179751 |
| 3 | 9222 | 67911 |
| 4 | 1122 | 50663 |
| 5 | 8020 | 37324 |
| 6 | 2078 | 34857 |
| 7 | 2026 | 31789 |
| 8 | 7100 | 28817 |
| 9 | 8000 | 28775 |
| 10 | 8027 | 24774 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1409 |
| 2 | AL-3 | 1301 |
| 3 | GOOGLE-CLOUD | 1060 |
| 4 | PAN-22 | 955 |
| 5 | INFRAWATCH | 521 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | ASEPL-SG | 439 |
| 8 | CENSY | 375 |
| 9 | CMNET | 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 | 8739 |
| 2 | China | 3581 |
| 3 | Singapore | 625 |
| 4 | Germany | 585 |
| 5 | France | 551 |
| 6 | United Kingdom | 511 |
| 7 | Hong Kong | 334 |
| 8 | Netherlands | 327 |
| 9 | South Korea | 287 |
| 10 | Russian Federation | 279 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 169788 |
| 2 | 7777 | 123723 |
| 3 | 1122 | 72345 |
| 4 | 8030 | 37504 |
| 5 | 7100 | 36467 |
| 6 | 8020 | 35917 |
| 7 | 2078 | 29821 |
| 8 | 8018 | 27459 |
| 9 | 8027 | 26789 |
| 10 | 7094 | 25956 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1570 |
| 2 | AL-3 | 1317 |
| 3 | GOOGLE-CLOUD | 1054 |
| 4 | PAN-22 | 958 |
| 5 | INFRAWATCH | 877 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | ASEPL-SG | 434 |
| 8 | CENSY | 380 |
| 9 | CMNET | 334 |
| 10 | DE-ALPHA | 289 |
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 | 8328 |
| 2 | China | 3922 |
| 3 | United Kingdom | 847 |
| 4 | Germany | 777 |
| 5 | Singapore | 597 |
| 6 | France | 556 |
| 7 | Netherlands | 411 |
| 8 | Hong Kong | 317 |
| 9 | Indonesia | 272 |
| 10 | India | 259 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 196929 |
| 2 | 2078 | 130729 |
| 3 | 1122 | 80847 |
| 4 | 5357 | 77938 |
| 5 | 888 | 76689 |
| 6 | 51005 | 69931 |
| 7 | 2000 | 66634 |
| 8 | 8000 | 51645 |
| 9 | 7777 | 50065 |
| 10 | 8030 | 46756 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1573 |
| 2 | AL-3 | 1323 |
| 3 | GOOGLE-CLOUD | 1067 |
| 4 | PAN-22 | 957 |
| 5 | INFRAWATCH | 497 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | ASEPL-SG | 467 |
| 8 | CENSY | 373 |
| 9 | cloud | 304 |
| 10 | DE-ALPHA | 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 | 8972 |
| 2 | China | 3894 |
| 3 | Germany | 680 |
| 4 | Singapore | 635 |
| 5 | France | 552 |
| 6 | United Kingdom | 506 |
| 7 | Hong Kong | 358 |
| 8 | Netherlands | 321 |
| 9 | India | 259 |
| 10 | Indonesia | 244 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 83195 |
| 2 | 8016 | 30896 |
| 3 | 8022 | 30328 |
| 4 | 8030 | 29078 |
| 5 | 7100 | 28752 |
| 6 | 8020 | 28245 |
| 7 | 7091 | 28105 |
| 8 | 7092 | 27504 |
| 9 | 8026 | 27062 |
| 10 | 7099 | 26994 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1368 |
| 2 | AL-3 | 1335 |
| 3 | GOOGLE-CLOUD | 1042 |
| 4 | PAN-22 | 895 |
| 5 | ASEPL-SG | 486 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | CENSY | 376 |
| 8 | DE-ALPHA | 342 |
| 9 | INFRAWATCH | 328 |
| 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 | 8615 |
| 2 | China | 2085 |
| 3 | Germany | 747 |
| 4 | United Kingdom | 712 |
| 5 | Singapore | 646 |
| 6 | France | 576 |
| 7 | Hong Kong | 335 |
| 8 | Netherlands | 278 |
| 9 | Russian Federation | 257 |
| 10 | Indonesia | 210 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 1704 | 138208 |
| 2 | 99 | 120162 |
| 3 | 2500 | 118156 |
| 4 | 9801 | 110120 |
| 5 | 4711 | 100694 |
| 6 | 5359 | 90638 |
| 7 | 7648 | 89715 |
| 8 | 18012 | 87277 |
| 9 | 4460 | 85493 |
| 10 | 3009 | 84807 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1401 |
| 2 | AL-3 | 1370 |
| 3 | GOOGLE-CLOUD | 1056 |
| 4 | PAN-22 | 946 |
| 5 | INFRAWATCH | 697 |
| 6 | ASEPL-SG | 497 |
| 7 | FR-ONYPHE-20191111 | 480 |
| 8 | CENSY | 373 |
| 9 | DE-ALPHA | 326 |
| 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 | 7927 |
| 2 | China | 2192 |
| 3 | Germany | 803 |
| 4 | Singapore | 693 |
| 5 | United Kingdom | 634 |
| 6 | France | 597 |
| 7 | Hong Kong | 335 |
| 8 | Netherlands | 305 |
| 9 | Russian Federation | 252 |
| 10 | Indonesia | 238 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 99 | 174693 |
| 2 | 2222 | 128794 |
| 3 | 1797 | 109025 |
| 4 | 14936 | 102758 |
| 5 | 54984 | 94125 |
| 6 | 2500 | 91089 |
| 7 | 36505 | 87589 |
| 8 | 1700 | 83663 |
| 9 | 2525 | 75101 |
| 10 | 3452 | 70358 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1380 |
| 2 | AL-3 | 1335 |
| 3 | GOOGLE-CLOUD | 1044 |
| 4 | PAN-22 | 956 |
| 5 | ASEPL-SG | 526 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | INFRAWATCH | 469 |
| 8 | CENSY | 377 |
| 9 | DE-ALPHA | 330 |
| 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 | 8042 |
| 2 | China | 2265 |
| 3 | Singapore | 757 |
| 4 | Germany | 686 |
| 5 | France | 595 |
| 6 | United Kingdom | 454 |
| 7 | Hong Kong | 353 |
| 8 | Netherlands | 316 |
| 9 | Indonesia | 276 |
| 10 | Russian Federation | 272 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 99 | 184664 |
| 2 | 2500 | 158485 |
| 3 | 8085 | 131337 |
| 4 | 2343 | 131113 |
| 5 | 1704 | 128389 |
| 6 | 4711 | 127759 |
| 7 | 3452 | 127661 |
| 8 | 14936 | 123771 |
| 9 | 1797 | 118603 |
| 10 | 2222 | 117937 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1332 |
| 2 | MSFT | 1329 |
| 3 | GOOGLE-CLOUD | 1044 |
| 4 | PAN-22 | 959 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 475 |
| 7 | CENSY | 366 |
| 8 | INFRAWATCH | 330 |
| 9 | DE-ALPHA | 293 |
| 10 | CMNET | 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 | 8749 |
| 2 | China | 2254 |
| 3 | Singapore | 626 |
| 4 | France | 557 |
| 5 | United Kingdom | 507 |
| 6 | Germany | 487 |
| 7 | Hong Kong | 309 |
| 8 | Netherlands | 293 |
| 9 | Indonesia | 224 |
| 10 | Russian Federation | 222 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 62151 |
| 2 | 6022 | 45763 |
| 3 | 2722 | 19680 |
| 4 | 2322 | 19599 |
| 5 | 1222 | 19529 |
| 6 | 7122 | 18776 |
| 7 | 4444 | 18537 |
| 8 | 3522 | 18374 |
| 9 | 1000 | 18081 |
| 10 | 2000 | 18061 |