detection period: 2026-11-08 00:00-23:59 UTC
total number of suspected botnet IPs: 21372
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 19846
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 | 1578 |
| 2 | AL-3 | 1277 |
| 3 | GOOGLE-CLOUD | 1163 |
| 4 | PAN-22 | 1053 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 456 |
| 7 | CENSY | 451 |
| 8 | DE-ALPHA | 402 |
| 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 | 9852 |
| 2 | China | 3890 |
| 3 | Singapore | 750 |
| 4 | France | 604 |
| 5 | Germany | 587 |
| 6 | Hong Kong | 360 |
| 7 | Netherlands | 337 |
| 8 | India | 324 |
| 9 | Russian Federation | 316 |
| 10 | Brazil | 314 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 488345 |
| 2 | 7722 | 79591 |
| 3 | 1765 | 54951 |
| 4 | 2234 | 50281 |
| 5 | 3380 | 49843 |
| 6 | 2040 | 46317 |
| 7 | 7227 | 43138 |
| 8 | 8890 | 42342 |
| 9 | 7801 | 42240 |
| 10 | 2210 | 41187 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1575 |
| 2 | AL-3 | 1269 |
| 3 | GOOGLE-CLOUD | 1166 |
| 4 | PAN-22 | 1050 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 449 |
| 7 | CENSY | 448 |
| 8 | DE-ALPHA | 436 |
| 9 | CMNET | 248 |
| 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 | 8710 |
| 2 | China | 4350 |
| 3 | Singapore | 685 |
| 4 | France | 622 |
| 5 | Germany | 602 |
| 6 | Brazil | 370 |
| 7 | Hong Kong | 355 |
| 8 | India | 326 |
| 9 | Netherlands | 312 |
| 10 | South Korea | 305 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 404161 |
| 2 | 7722 | 85894 |
| 3 | 2234 | 50813 |
| 4 | 3333 | 47540 |
| 5 | 5022 | 38982 |
| 6 | 9122 | 34230 |
| 7 | 1838 | 31319 |
| 8 | 10000 | 26386 |
| 9 | 5064 | 25065 |
| 10 | 22 | 22556 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1537 |
| 2 | AL-3 | 1259 |
| 3 | GOOGLE-CLOUD | 1173 |
| 4 | PAN-22 | 1053 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 474 |
| 7 | CENSY | 458 |
| 8 | CMNET | 290 |
| 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 | 9194 |
| 2 | China | 4215 |
| 3 | Singapore | 765 |
| 4 | France | 635 |
| 5 | Hong Kong | 367 |
| 6 | India | 357 |
| 7 | Russian Federation | 346 |
| 8 | Brazil | 338 |
| 9 | Netherlands | 325 |
| 10 | South Korea | 314 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 465806 |
| 2 | 1838 | 87293 |
| 3 | 7722 | 79661 |
| 4 | 8105 | 65510 |
| 5 | 2234 | 50563 |
| 6 | 3333 | 50070 |
| 7 | 6060 | 41966 |
| 8 | 1561 | 41306 |
| 9 | 2635 | 40999 |
| 10 | 2224 | 38998 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1559 |
| 2 | AL-3 | 1246 |
| 3 | GOOGLE-CLOUD | 1167 |
| 4 | PAN-22 | 1026 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 464 |
| 7 | CENSY | 456 |
| 8 | Stella-IT-KRF | 253 |
| 9 | NET-45-133-173-0-24 | 253 |
| 10 | NET-2-57-17-0-24 | 253 |
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 | 10074 |
| 2 | China | 3649 |
| 3 | United Kingdom | 816 |
| 4 | Singapore | 753 |
| 5 | France | 611 |
| 6 | Germany | 471 |
| 7 | Hong Kong | 387 |
| 8 | Netherlands | 361 |
| 9 | Brazil | 336 |
| 10 | European Union | 334 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 457677 |
| 2 | 1838 | 89203 |
| 3 | 7722 | 87326 |
| 4 | 8105 | 64736 |
| 5 | 2234 | 50497 |
| 6 | 3333 | 46402 |
| 7 | 1561 | 41445 |
| 8 | 2635 | 41375 |
| 9 | 6060 | 41016 |
| 10 | 5064 | 28379 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1559 |
| 2 | AL-3 | 1366 |
| 3 | GOOGLE-CLOUD | 1162 |
| 4 | PAN-22 | 1053 |
| 5 | ASEPL-SG | 557 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | CENSY | 455 |
| 8 | AT-88-Z | 252 |
| 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 | 9350 |
| 2 | China | 4049 |
| 3 | Singapore | 869 |
| 4 | France | 606 |
| 5 | United Kingdom | 353 |
| 6 | Hong Kong | 324 |
| 7 | Brazil | 323 |
| 8 | Netherlands | 320 |
| 9 | India | 286 |
| 10 | Indonesia | 275 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 510440 |
| 2 | 1838 | 104945 |
| 3 | 7722 | 87585 |
| 4 | 8105 | 76227 |
| 5 | 5863 | 60573 |
| 6 | 10000 | 52015 |
| 7 | 2234 | 49217 |
| 8 | 1561 | 47875 |
| 9 | 6060 | 47551 |
| 10 | 2635 | 47302 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1580 |
| 2 | AL-3 | 1320 |
| 3 | GOOGLE-CLOUD | 1169 |
| 4 | PAN-22 | 1050 |
| 5 | ASEPL-SG | 484 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | CENSY | 450 |
| 8 | Stella-IT-KRF | 253 |
| 9 | NET-45-133-173-0-24 | 253 |
| 10 | NET-2-57-17-0-24 | 253 |
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 | 10108 |
| 2 | China | 3712 |
| 3 | United Kingdom | 1021 |
| 4 | Singapore | 811 |
| 5 | France | 616 |
| 6 | Germany | 432 |
| 7 | India | 401 |
| 8 | Brazil | 395 |
| 9 | Hong Kong | 349 |
| 10 | Netherlands | 326 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 429929 |
| 2 | 5863 | 112166 |
| 3 | 7722 | 87269 |
| 4 | 1838 | 64702 |
| 5 | 2147 | 56720 |
| 6 | 2234 | 50425 |
| 7 | 1831 | 48370 |
| 8 | 8105 | 46491 |
| 9 | 2022 | 44369 |
| 10 | 52022 | 42626 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1579 |
| 2 | AL-3 | 1303 |
| 3 | GOOGLE-CLOUD | 1166 |
| 4 | PAN-22 | 1040 |
| 5 | ASEPL-SG | 498 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | CENSY | 459 |
| 8 | ACEVILLEPTELTD-SG | 242 |
| 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 | 9365 |
| 2 | China | 3218 |
| 3 | Singapore | 787 |
| 4 | France | 607 |
| 5 | India | 493 |
| 6 | Brazil | 388 |
| 7 | Russian Federation | 383 |
| 8 | Hong Kong | 358 |
| 9 | South Korea | 349 |
| 10 | United Kingdom | 344 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 365782 |
| 2 | 7722 | 87980 |
| 3 | 2234 | 50299 |
| 4 | 52022 | 49559 |
| 5 | 10000 | 48807 |
| 6 | 2022 | 48073 |
| 7 | 22 | 28810 |
| 8 | 1433 | 26612 |
| 9 | 2222 | 20536 |
| 10 | 10089 | 20322 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1569 |
| 2 | AL-3 | 1478 |
| 3 | GOOGLE-CLOUD | 1147 |
| 4 | PAN-22 | 1013 |
| 5 | ASEPL-SG | 537 |
| 6 | FR-ONYPHE-20191111 | 480 |
| 7 | CENSY | 459 |
| 8 | ACEVILLEPTELTD-SG | 258 |
| 9 | KORNET-KR | 242 |
| 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 | 10164 |
| 2 | China | 3131 |
| 3 | Singapore | 869 |
| 4 | United Kingdom | 755 |
| 5 | France | 605 |
| 6 | India | 397 |
| 7 | South Korea | 385 |
| 8 | Hong Kong | 358 |
| 9 | Brazil | 358 |
| 10 | Netherlands | 339 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 350071 |
| 2 | 7722 | 87765 |
| 3 | 8090 | 66660 |
| 4 | 10000 | 56326 |
| 5 | 2022 | 53204 |
| 6 | 2234 | 53074 |
| 7 | 52022 | 49873 |
| 8 | 8118 | 46627 |
| 9 | 224 | 44634 |
| 10 | 3148 | 38798 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1439 |
| 2 | AL-3 | 1370 |
| 3 | GOOGLE-CLOUD | 1151 |
| 4 | PAN-22 | 1033 |
| 5 | CLOUDFLARENET | 769 |
| 6 | ASEPL-SG | 541 |
| 7 | FR-ONYPHE-20191111 | 480 |
| 8 | CENSY | 457 |
| 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 | 9539 |
| 2 | China | 2935 |
| 3 | Singapore | 834 |
| 4 | United Kingdom | 736 |
| 5 | France | 579 |
| 6 | India | 412 |
| 7 | South Korea | 376 |
| 8 | Hong Kong | 367 |
| 9 | Brazil | 345 |
| 10 | Russian Federation | 274 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 337650 |
| 2 | 7722 | 79848 |
| 3 | 10000 | 55623 |
| 4 | 52022 | 50654 |
| 5 | 8118 | 48556 |
| 6 | 2022 | 45249 |
| 7 | 224 | 41823 |
| 8 | 556 | 41628 |
| 9 | 3148 | 38912 |
| 10 | 5352 | 36806 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1365 |
| 2 | AL-3 | 1325 |
| 3 | GOOGLE-CLOUD | 1156 |
| 4 | PAN-22 | 1043 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | CENSY | 458 |
| 7 | ASEPL-SG | 457 |
| 8 | DE-ALPHA | 242 |
| 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 | 9060 |
| 2 | China | 3040 |
| 3 | Singapore | 685 |
| 4 | United Kingdom | 637 |
| 5 | France | 577 |
| 6 | India | 431 |
| 7 | Germany | 406 |
| 8 | South Korea | 372 |
| 9 | Netherlands | 349 |
| 10 | Hong Kong | 348 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 337874 |
| 2 | 10000 | 54139 |
| 3 | 52022 | 52666 |
| 4 | 7722 | 49776 |
| 5 | 8118 | 47457 |
| 6 | 2022 | 45829 |
| 7 | 556 | 43291 |
| 8 | 5352 | 38172 |
| 9 | 3148 | 36038 |
| 10 | 42 | 33986 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1482 |
| 2 | AL-3 | 1293 |
| 3 | GOOGLE-CLOUD | 1061 |
| 4 | PAN-22 | 1046 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | CENSY | 461 |
| 7 | ASEPL-SG | 431 |
| 8 | FR-ONYPHE-20221220 | 240 |
| 9 | FR-ONYPHE-20221109 | 240 |
| 10 | KORNET-KR | 227 |
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 | 9925 |
| 2 | China | 3358 |
| 3 | United Kingdom | 871 |
| 4 | Singapore | 661 |
| 5 | France | 595 |
| 6 | India | 400 |
| 7 | South Korea | 386 |
| 8 | Germany | 364 |
| 9 | Hong Kong | 361 |
| 10 | Brazil | 336 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 433778 |
| 2 | 9281 | 58294 |
| 3 | 52022 | 52209 |
| 4 | 10000 | 51527 |
| 5 | 8118 | 46204 |
| 6 | 2022 | 44724 |
| 7 | 556 | 42140 |
| 8 | 5352 | 37740 |
| 9 | 3148 | 34625 |
| 10 | 5500 | 32097 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1487 |
| 2 | AL-3 | 1219 |
| 3 | GOOGLE-CLOUD | 1059 |
| 4 | PAN-22 | 1038 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | CENSY | 452 |
| 7 | ASEPL-SG | 447 |
| 8 | FR-ONYPHE-20221220 | 240 |
| 9 | FR-ONYPHE-20221109 | 240 |
| 10 | KORNET-KR | 233 |
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 | 9207 |
| 2 | China | 2994 |
| 3 | United Kingdom | 731 |
| 4 | Singapore | 658 |
| 5 | France | 608 |
| 6 | India | 445 |
| 7 | Germany | 395 |
| 8 | South Korea | 379 |
| 9 | Brazil | 375 |
| 10 | Hong Kong | 365 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 443614 |
| 2 | 2232 | 83447 |
| 3 | 5500 | 64813 |
| 4 | 3322 | 59879 |
| 5 | 52022 | 54373 |
| 6 | 9281 | 53215 |
| 7 | 10000 | 51128 |
| 8 | 8159 | 47148 |
| 9 | 144 | 46188 |
| 10 | 6200 | 44354 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1489 |
| 2 | AL-3 | 1304 |
| 3 | GOOGLE-CLOUD | 1062 |
| 4 | PAN-22 | 1042 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 472 |
| 7 | CENSY | 428 |
| 8 | FR-ONYPHE-20221220 | 240 |
| 9 | FR-ONYPHE-20221109 | 240 |
| 10 | ACEVILLEPTELTD-SG | 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 | 10077 |
| 2 | China | 3170 |
| 3 | Singapore | 759 |
| 4 | United Kingdom | 731 |
| 5 | France | 610 |
| 6 | India | 465 |
| 7 | Brazil | 428 |
| 8 | Hong Kong | 421 |
| 9 | South Korea | 378 |
| 10 | Netherlands | 360 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 471336 |
| 2 | 2232 | 93855 |
| 3 | 3322 | 59271 |
| 4 | 1444 | 49222 |
| 5 | 10000 | 49023 |
| 6 | 52022 | 46797 |
| 7 | 2022 | 46229 |
| 8 | 2350 | 45463 |
| 9 | 5500 | 40370 |
| 10 | 3023 | 39246 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1491 |
| 2 | AL-3 | 1331 |
| 3 | GOOGLE-CLOUD | 1057 |
| 4 | PAN-22 | 937 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 480 |
| 7 | CENSY | 368 |
| 8 | UCLOUD-HK | 323 |
| 9 | ALISOFT | 251 |
| 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 | 9327 |
| 2 | China | 3113 |
| 3 | Singapore | 739 |
| 4 | United Kingdom | 666 |
| 5 | France | 582 |
| 6 | Hong Kong | 528 |
| 7 | India | 446 |
| 8 | Netherlands | 445 |
| 9 | Germany | 423 |
| 10 | Brazil | 377 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 385762 |
| 2 | 2232 | 93355 |
| 3 | 3322 | 59288 |
| 4 | 2022 | 46139 |
| 5 | 1433 | 45385 |
| 6 | 2211 | 34962 |
| 7 | 10000 | 30920 |
| 8 | 6022 | 26897 |
| 9 | 22 | 26239 |
| 10 | 9201 | 25167 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1462 |
| 2 | AL-3 | 1311 |
| 3 | GOOGLE-CLOUD | 1070 |
| 4 | PAN-22 | 922 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 443 |
| 7 | CENSY | 362 |
| 8 | DE-ALPHA | 310 |
| 9 | UCLOUD-HK | 304 |
| 10 | ALISOFT | 265 |
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 | 9518 |
| 2 | China | 3395 |
| 3 | United Kingdom | 700 |
| 4 | Singapore | 693 |
| 5 | France | 592 |
| 6 | Hong Kong | 510 |
| 7 | Germany | 497 |
| 8 | South Korea | 373 |
| 9 | Netherlands | 351 |
| 10 | Russian Federation | 322 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 402744 |
| 2 | 2232 | 95991 |
| 3 | 3322 | 58901 |
| 4 | 2022 | 49965 |
| 5 | 9204 | 40792 |
| 6 | 2211 | 36662 |
| 7 | 2095 | 36292 |
| 8 | 2222 | 33643 |
| 9 | 6433 | 31562 |
| 10 | 9201 | 31029 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1463 |
| 2 | AL-3 | 1294 |
| 3 | GOOGLE-CLOUD | 1069 |
| 4 | PAN-22 | 905 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 439 |
| 7 | CENSY | 362 |
| 8 | DE-ALPHA | 322 |
| 9 | KORNET-KR | 262 |
| 10 | ALISOFT | 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 | 8277 |
| 2 | China | 2989 |
| 3 | Singapore | 659 |
| 4 | United Kingdom | 649 |
| 5 | France | 588 |
| 6 | Germany | 504 |
| 7 | South Korea | 410 |
| 8 | India | 386 |
| 9 | Netherlands | 355 |
| 10 | Hong Kong | 344 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 428258 |
| 2 | 2022 | 50662 |
| 3 | 2232 | 50231 |
| 4 | 9204 | 43562 |
| 5 | 2095 | 32898 |
| 6 | 9201 | 30808 |
| 7 | 9206 | 30411 |
| 8 | 9220 | 29936 |
| 9 | 22 | 28697 |
| 10 | 6022 | 26689 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1453 |
| 2 | AL-3 | 1313 |
| 3 | GOOGLE-CLOUD | 1076 |
| 4 | PAN-22 | 908 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 470 |
| 7 | CENSY | 361 |
| 8 | DE-ALPHA | 257 |
| 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 | 8943 |
| 2 | China | 2868 |
| 3 | United Kingdom | 806 |
| 4 | Singapore | 704 |
| 5 | France | 601 |
| 6 | Germany | 429 |
| 7 | Netherlands | 414 |
| 8 | South Korea | 391 |
| 9 | India | 365 |
| 10 | Hong Kong | 354 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 565134 |
| 2 | 2022 | 49383 |
| 3 | 9204 | 42216 |
| 4 | 9201 | 35083 |
| 5 | 9206 | 33215 |
| 6 | 9443 | 31728 |
| 7 | 2095 | 31065 |
| 8 | 9210 | 29853 |
| 9 | 9220 | 29257 |
| 10 | 9207 | 27241 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1476 |
| 2 | AL-3 | 1303 |
| 3 | GOOGLE-CLOUD | 1070 |
| 4 | PAN-22 | 911 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 454 |
| 7 | CENSY | 377 |
| 8 | ALISOFT | 253 |
| 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 | 9368 |
| 2 | China | 2715 |
| 3 | United Kingdom | 727 |
| 4 | Singapore | 698 |
| 5 | France | 597 |
| 6 | Hong Kong | 385 |
| 7 | South Korea | 343 |
| 8 | Netherlands | 332 |
| 9 | India | 313 |
| 10 | Germany | 306 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 493321 |
| 2 | 33 | 80383 |
| 3 | 212 | 50149 |
| 4 | 9204 | 46082 |
| 5 | 9922 | 39116 |
| 6 | 9201 | 32396 |
| 7 | 9210 | 31458 |
| 8 | 2095 | 30754 |
| 9 | 9206 | 30185 |
| 10 | 9443 | 29804 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1509 |
| 2 | AL-3 | 1438 |
| 3 | GOOGLE-CLOUD | 1055 |
| 4 | PAN-22 | 905 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 474 |
| 7 | CENSY | 377 |
| 8 | ALISOFT | 260 |
| 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 | 9005 |
| 2 | China | 3259 |
| 3 | Singapore | 681 |
| 4 | France | 600 |
| 5 | United Kingdom | 580 |
| 6 | Netherlands | 396 |
| 7 | South Korea | 376 |
| 8 | India | 344 |
| 9 | Russian Federation | 310 |
| 10 | Hong Kong | 295 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 492354 |
| 2 | 212 | 62076 |
| 3 | 9204 | 50312 |
| 4 | 33 | 44150 |
| 5 | 9922 | 41121 |
| 6 | 9201 | 34118 |
| 7 | 2095 | 32349 |
| 8 | 29 | 31015 |
| 9 | 7000 | 30383 |
| 10 | 9210 | 28364 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1500 |
| 2 | AL-3 | 1446 |
| 3 | GOOGLE-CLOUD | 1067 |
| 4 | PAN-22 | 909 |
| 5 | FR-ONYPHE-20191111 | 480 |
| 6 | ASEPL-SG | 480 |
| 7 | CENSY | 374 |
| 8 | ALISOFT | 279 |
| 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 | 9693 |
| 2 | China | 2836 |
| 3 | Singapore | 744 |
| 4 | France | 633 |
| 5 | United Kingdom | 586 |
| 6 | Hong Kong | 397 |
| 7 | Netherlands | 370 |
| 8 | South Korea | 302 |
| 9 | Brazil | 281 |
| 10 | Indonesia | 264 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 456985 |
| 2 | 212 | 67435 |
| 3 | 9204 | 48163 |
| 4 | 8000 | 42350 |
| 5 | 2095 | 41164 |
| 6 | 9922 | 39189 |
| 7 | 9443 | 37373 |
| 8 | 5357 | 34109 |
| 9 | 9201 | 33449 |
| 10 | 29 | 30904 |