detection period: 2026-04-29 00:00-23:59 UTC
total number of suspected botnet IPs: 19977
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 18792
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 | 1560 |
| 2 | MSFT | 1465 |
| 3 | GOOGLE-CLOUD | 1051 |
| 4 | PAN-22 | 953 |
| 5 | ASEPL-SG | 523 |
| 6 | FR-ONYPHE-20191111 | 400 |
| 7 | CENSY | 379 |
| 8 | INFRAWATCH | 332 |
| 9 | cloud | 330 |
| 10 | VOLCANO-ENGINE | 317 |
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 | 8622 |
| 2 | China | 3445 |
| 3 | United Kingdom | 916 |
| 4 | Singapore | 743 |
| 5 | Germany | 575 |
| 6 | Netherlands | 489 |
| 7 | France | 484 |
| 8 | Indonesia | 390 |
| 9 | India | 375 |
| 10 | Hong Kong | 336 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 539172 |
| 2 | 110 | 233153 |
| 3 | 8088 | 218874 |
| 4 | 8082 | 103115 |
| 5 | 8787 | 67816 |
| 6 | 2252 | 44781 |
| 7 | 8015 | 44585 |
| 8 | 5432 | 36567 |
| 9 | 2208 | 36335 |
| 10 | 2222 | 33452 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1529 |
| 2 | MSFT | 1438 |
| 3 | GOOGLE-CLOUD | 1031 |
| 4 | PAN-22 | 955 |
| 5 | ASEPL-SG | 492 |
| 6 | FR-ONYPHE-20191111 | 400 |
| 7 | CENSY | 382 |
| 8 | VOLCANO-ENGINE | 332 |
| 9 | INFRAWATCH | 331 |
| 10 | UCLOUD-HK | 266 |
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 | 9090 |
| 2 | China | 3687 |
| 3 | United Kingdom | 1022 |
| 4 | Singapore | 712 |
| 5 | Germany | 532 |
| 6 | France | 518 |
| 7 | Netherlands | 502 |
| 8 | Brazil | 412 |
| 9 | Hong Kong | 369 |
| 10 | Indonesia | 343 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 523212 |
| 2 | 221 | 76914 |
| 3 | 2208 | 41100 |
| 4 | 8088 | 36821 |
| 5 | 22 | 32698 |
| 6 | 1122 | 25098 |
| 7 | 110 | 23259 |
| 8 | 8082 | 22095 |
| 9 | 3503 | 19768 |
| 10 | 5700 | 18120 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1558 |
| 2 | MSFT | 1470 |
| 3 | GOOGLE-CLOUD | 1046 |
| 4 | PAN-22 | 950 |
| 5 | ASEPL-SG | 516 |
| 6 | FR-ONYPHE-20191111 | 408 |
| 7 | CENSY | 377 |
| 8 | INFRAWATCH | 341 |
| 9 | VOLCANO-ENGINE | 328 |
| 10 | cloud | 328 |
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 | 8461 |
| 2 | China | 3613 |
| 3 | United Kingdom | 1004 |
| 4 | Singapore | 849 |
| 5 | France | 542 |
| 6 | Germany | 497 |
| 7 | Netherlands | 457 |
| 8 | Indonesia | 398 |
| 9 | Brazil | 381 |
| 10 | Hong Kong | 378 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 427329 |
| 2 | 7473 | 58093 |
| 3 | 5357 | 47430 |
| 4 | 9164 | 46909 |
| 5 | 2208 | 41718 |
| 6 | 4922 | 39986 |
| 7 | 8020 | 38776 |
| 8 | 1890 | 38355 |
| 9 | 9443 | 33069 |
| 10 | 22 | 30496 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1484 |
| 2 | MSFT | 1453 |
| 3 | GOOGLE-CLOUD | 1032 |
| 4 | PAN-22 | 953 |
| 5 | ASEPL-SG | 504 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 379 |
| 8 | INFRAWATCH | 342 |
| 9 | VOLCANO-ENGINE | 332 |
| 10 | cloud | 326 |
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 | 9131 |
| 2 | China | 3547 |
| 3 | United Kingdom | 1019 |
| 4 | Singapore | 729 |
| 5 | France | 579 |
| 6 | Germany | 552 |
| 7 | Netherlands | 497 |
| 8 | Hong Kong | 388 |
| 9 | Brazil | 376 |
| 10 | Indonesia | 308 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 7473 | 1090355 |
| 2 | 9164 | 883850 |
| 3 | 5900 | 425771 |
| 4 | 8153 | 368941 |
| 5 | 7787 | 315747 |
| 6 | 4092 | 250802 |
| 7 | 4030 | 188501 |
| 8 | 9559 | 185525 |
| 9 | 1871 | 171476 |
| 10 | 5357 | 151475 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1516 |
| 2 | MSFT | 1461 |
| 3 | GOOGLE-CLOUD | 1007 |
| 4 | PAN-22 | 953 |
| 5 | CLOUDFLARENET | 727 |
| 6 | ASEPL-SG | 528 |
| 7 | FR-ONYPHE-20191111 | 448 |
| 8 | CENSY | 375 |
| 9 | VOLCANO-ENGINE | 314 |
| 10 | cloud | 310 |
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 | 8995 |
| 2 | China | 3557 |
| 3 | United Kingdom | 1013 |
| 4 | Singapore | 837 |
| 5 | France | 569 |
| 6 | Netherlands | 448 |
| 7 | Hong Kong | 371 |
| 8 | Indonesia | 347 |
| 9 | India | 296 |
| 10 | Brazil | 271 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 358994 |
| 2 | 7473 | 283595 |
| 3 | 4092 | 275193 |
| 4 | 9164 | 210557 |
| 5 | 25900 | 189419 |
| 6 | 8153 | 188548 |
| 7 | 1871 | 186305 |
| 8 | 6689 | 186070 |
| 9 | 1890 | 160476 |
| 10 | 5356 | 144340 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1459 |
| 2 | MSFT | 1449 |
| 3 | GOOGLE-CLOUD | 1033 |
| 4 | PAN-22 | 956 |
| 5 | ASEPL-SG | 514 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 382 |
| 8 | cloud | 330 |
| 9 | VOLCANO-ENGINE | 317 |
| 10 | UCLOUD-HK | 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 | 8157 |
| 2 | China | 3372 |
| 3 | Singapore | 856 |
| 4 | United Kingdom | 614 |
| 5 | France | 558 |
| 6 | Hong Kong | 379 |
| 7 | Netherlands | 373 |
| 8 | Indonesia | 366 |
| 9 | India | 311 |
| 10 | Russian Federation | 261 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 330385 |
| 2 | 2232 | 70215 |
| 3 | 8015 | 56029 |
| 4 | 5357 | 55925 |
| 5 | 8088 | 52429 |
| 6 | 5408 | 45098 |
| 7 | 8000 | 35728 |
| 8 | 6318 | 34615 |
| 9 | 7277 | 29787 |
| 10 | 2078 | 29153 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1412 |
| 2 | MSFT | 1316 |
| 3 | GOOGLE-CLOUD | 1042 |
| 4 | PAN-22 | 948 |
| 5 | ASEPL-SG | 489 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 379 |
| 8 | cloud | 323 |
| 9 | VOLCANO-ENGINE | 318 |
| 10 | UCLOUD-HK | 276 |
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 | 8781 |
| 2 | China | 3330 |
| 3 | Singapore | 841 |
| 4 | France | 580 |
| 5 | Indonesia | 393 |
| 6 | Hong Kong | 379 |
| 7 | Netherlands | 375 |
| 8 | India | 302 |
| 9 | Russian Federation | 281 |
| 10 | United Kingdom | 266 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 345085 |
| 2 | 1599 | 83037 |
| 3 | 8000 | 76103 |
| 4 | 2232 | 69911 |
| 5 | 3128 | 65979 |
| 6 | 8082 | 65939 |
| 7 | 7777 | 62047 |
| 8 | 5408 | 56980 |
| 9 | 5627 | 51494 |
| 10 | 21293 | 44442 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1461 |
| 2 | MSFT | 1341 |
| 3 | GOOGLE-CLOUD | 1016 |
| 4 | PAN-22 | 950 |
| 5 | ASEPL-SG | 464 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 380 |
| 8 | VOLCANO-ENGINE | 323 |
| 9 | cloud | 304 |
| 10 | UCLOUD-HK | 272 |
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 | 8366 |
| 2 | China | 3459 |
| 3 | Singapore | 779 |
| 4 | France | 596 |
| 5 | Indonesia | 427 |
| 6 | Hong Kong | 398 |
| 7 | Netherlands | 381 |
| 8 | India | 329 |
| 9 | Germany | 321 |
| 10 | Russian Federation | 298 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 280551 |
| 2 | 2232 | 69873 |
| 3 | 9051 | 65654 |
| 4 | 7777 | 49464 |
| 5 | 8082 | 48367 |
| 6 | 8000 | 46453 |
| 7 | 8088 | 28007 |
| 8 | 2109 | 25745 |
| 9 | 8081 | 25081 |
| 10 | 2511 | 24240 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1592 |
| 2 | MSFT | 1406 |
| 3 | GOOGLE-CLOUD | 1009 |
| 4 | PAN-22 | 950 |
| 5 | ASEPL-SG | 561 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | VOLCANO-ENGINE | 393 |
| 8 | CENSY | 366 |
| 9 | cloud | 331 |
| 10 | UCLOUD-HK | 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 | 9327 |
| 2 | China | 3396 |
| 3 | Singapore | 859 |
| 4 | France | 613 |
| 5 | Indonesia | 483 |
| 6 | Netherlands | 451 |
| 7 | Hong Kong | 405 |
| 8 | India | 389 |
| 9 | Germany | 335 |
| 10 | Russian Federation | 308 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 373637 |
| 2 | 2232 | 75172 |
| 3 | 4157 | 52271 |
| 4 | 2288 | 50693 |
| 5 | 3098 | 43832 |
| 6 | 9051 | 37750 |
| 7 | 8000 | 36095 |
| 8 | 7777 | 33120 |
| 9 | 8082 | 32861 |
| 10 | 2509 | 30024 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1480 |
| 2 | MSFT | 1375 |
| 3 | GOOGLE-CLOUD | 1018 |
| 4 | PAN-22 | 950 |
| 5 | ASEPL-SG | 469 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 381 |
| 8 | VOLCANO-ENGINE | 352 |
| 9 | UCLOUD-HK | 268 |
| 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 | 8030 |
| 2 | China | 3028 |
| 3 | Singapore | 747 |
| 4 | France | 559 |
| 5 | Netherlands | 410 |
| 6 | Hong Kong | 362 |
| 7 | India | 299 |
| 8 | Indonesia | 290 |
| 9 | United Kingdom | 242 |
| 10 | Russian Federation | 240 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 324826 |
| 2 | 8473 | 105547 |
| 3 | 6085 | 96090 |
| 4 | 5106 | 79927 |
| 5 | 7697 | 78305 |
| 6 | 2232 | 75409 |
| 7 | 3098 | 72963 |
| 8 | 25002 | 69242 |
| 9 | 667 | 65996 |
| 10 | 2288 | 62137 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1463 |
| 2 | MSFT | 1376 |
| 3 | GOOGLE-CLOUD | 1002 |
| 4 | PAN-22 | 950 |
| 5 | ASEPL-SG | 489 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 381 |
| 8 | VOLCANO-ENGINE | 345 |
| 9 | cloud | 310 |
| 10 | UCLOUD-HK | 256 |
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 | 8533 |
| 2 | China | 2896 |
| 3 | Singapore | 800 |
| 4 | France | 590 |
| 5 | Netherlands | 385 |
| 6 | Hong Kong | 345 |
| 7 | Germany | 253 |
| 8 | United Kingdom | 250 |
| 9 | India | 233 |
| 10 | Russian Federation | 217 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 249425 |
| 2 | 25002 | 103579 |
| 3 | 2232 | 72918 |
| 4 | 2222 | 71187 |
| 5 | 6022 | 65771 |
| 6 | 2095 | 65198 |
| 7 | 2020 | 62177 |
| 8 | 9443 | 61318 |
| 9 | 2083 | 61264 |
| 10 | 2288 | 60761 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1509 |
| 2 | MSFT | 1403 |
| 3 | GOOGLE-CLOUD | 1017 |
| 4 | PAN-22 | 950 |
| 5 | ASEPL-SG | 490 |
| 6 | FR-ONYPHE-20191111 | 447 |
| 7 | CENSY | 379 |
| 8 | VOLCANO-ENGINE | 344 |
| 9 | cloud | 320 |
| 10 | UCLOUD-HK | 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 | 8149 |
| 2 | China | 3009 |
| 3 | Singapore | 781 |
| 4 | France | 556 |
| 5 | Netherlands | 388 |
| 6 | Hong Kong | 346 |
| 7 | Germany | 290 |
| 8 | India | 254 |
| 9 | Indonesia | 246 |
| 10 | United Kingdom | 227 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 259718 |
| 2 | 2095 | 172823 |
| 3 | 2222 | 134768 |
| 4 | 25002 | 104111 |
| 5 | 2232 | 75862 |
| 6 | 6022 | 67848 |
| 7 | 2020 | 65393 |
| 8 | 2288 | 62816 |
| 9 | 2083 | 61961 |
| 10 | 9088 | 55199 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1514 |
| 2 | MSFT | 1391 |
| 3 | GOOGLE-CLOUD | 998 |
| 4 | PAN-22 | 950 |
| 5 | ASEPL-SG | 485 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 371 |
| 8 | VOLCANO-ENGINE | 350 |
| 9 | cloud | 287 |
| 10 | UCLOUD-HK | 264 |
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 | 8071 |
| 2 | China | 3888 |
| 3 | Singapore | 783 |
| 4 | France | 545 |
| 5 | Netherlands | 380 |
| 6 | Hong Kong | 363 |
| 7 | Indonesia | 272 |
| 8 | India | 270 |
| 9 | Russian Federation | 256 |
| 10 | United Kingdom | 235 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 323673 |
| 2 | 25002 | 86046 |
| 3 | 2232 | 81004 |
| 4 | 6022 | 66146 |
| 5 | 10017 | 65188 |
| 6 | 2288 | 62914 |
| 7 | 2222 | 62611 |
| 8 | 2185 | 61707 |
| 9 | 2020 | 60505 |
| 10 | 1470 | 58828 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1368 |
| 2 | AL-3 | 1367 |
| 3 | GOOGLE-CLOUD | 1009 |
| 4 | PAN-22 | 951 |
| 5 | FR-ONYPHE-20191111 | 448 |
| 6 | ASEPL-SG | 428 |
| 7 | CENSY | 367 |
| 8 | VOLCANO-ENGINE | 343 |
| 9 | cloud | 328 |
| 10 | UCLOUD-HK | 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 | 8485 |
| 2 | China | 4678 |
| 3 | Singapore | 763 |
| 4 | France | 603 |
| 5 | Netherlands | 360 |
| 6 | Hong Kong | 351 |
| 7 | Indonesia | 279 |
| 8 | India | 276 |
| 9 | Russian Federation | 251 |
| 10 | Germany | 251 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 355592 |
| 2 | 2222 | 115091 |
| 3 | 7777 | 106000 |
| 4 | 8085 | 94842 |
| 5 | 9110 | 86223 |
| 6 | 2232 | 81571 |
| 7 | 23401 | 68250 |
| 8 | 2288 | 63004 |
| 9 | 992 | 57187 |
| 10 | 5431 | 54939 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1386 |
| 2 | GOOGLE-CLOUD | 1003 |
| 3 | PAN-22 | 950 |
| 4 | AL-3 | 891 |
| 5 | FR-ONYPHE-20191111 | 448 |
| 6 | CENSY | 372 |
| 7 | VOLCANO-ENGINE | 355 |
| 8 | cloud | 332 |
| 9 | ASEPL-SG | 267 |
| 10 | UCLOUD-HK | 250 |
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 | 7677 |
| 2 | China | 3003 |
| 3 | France | 587 |
| 4 | Singapore | 491 |
| 5 | Hong Kong | 357 |
| 6 | Netherlands | 343 |
| 7 | Indonesia | 280 |
| 8 | India | 260 |
| 9 | Viet Nam | 238 |
| 10 | United Kingdom | 235 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 7777 | 411683 |
| 2 | 8015 | 330945 |
| 3 | 5900 | 298423 |
| 4 | 9443 | 297709 |
| 5 | 2095 | 246598 |
| 6 | 2222 | 171490 |
| 7 | 5357 | 115521 |
| 8 | 8000 | 86595 |
| 9 | 8085 | 83589 |
| 10 | 2232 | 78208 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1379 |
| 2 | GOOGLE-CLOUD | 1002 |
| 3 | PAN-22 | 950 |
| 4 | AL-3 | 925 |
| 5 | FR-ONYPHE-20191111 | 448 |
| 6 | CENSY | 377 |
| 7 | VOLCANO-ENGINE | 351 |
| 8 | ASEPL-SG | 292 |
| 9 | cloud | 290 |
| 10 | UCLOUD-HK | 256 |
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 | 8225 |
| 2 | China | 3397 |
| 3 | France | 552 |
| 4 | Singapore | 506 |
| 5 | Hong Kong | 372 |
| 6 | Netherlands | 360 |
| 7 | Germany | 307 |
| 8 | Indonesia | 293 |
| 9 | United Kingdom | 268 |
| 10 | Viet Nam | 254 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 7777 | 489497 |
| 2 | 5900 | 305280 |
| 3 | 9443 | 238549 |
| 4 | 8015 | 238146 |
| 5 | 2095 | 191655 |
| 6 | 2222 | 116843 |
| 7 | 8082 | 105349 |
| 8 | 25 | 102724 |
| 9 | 8000 | 79587 |
| 10 | 2232 | 76403 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1391 |
| 2 | AL-3 | 1148 |
| 3 | GOOGLE-CLOUD | 1004 |
| 4 | PAN-22 | 950 |
| 5 | FR-ONYPHE-20191111 | 448 |
| 6 | CENSY | 379 |
| 7 | VOLCANO-ENGINE | 360 |
| 8 | cloud | 340 |
| 9 | ASEPL-SG | 313 |
| 10 | UCLOUD-HK | 258 |
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 | 7884 |
| 2 | China | 3904 |
| 3 | Singapore | 640 |
| 4 | France | 550 |
| 5 | Hong Kong | 361 |
| 6 | Netherlands | 338 |
| 7 | Indonesia | 301 |
| 8 | India | 288 |
| 9 | Russian Federation | 258 |
| 10 | United Kingdom | 246 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 346775 |
| 2 | 7777 | 157905 |
| 3 | 2095 | 142649 |
| 4 | 9443 | 106940 |
| 5 | 5901 | 68145 |
| 6 | 2288 | 62980 |
| 7 | 2206 | 62242 |
| 8 | 2222 | 58353 |
| 9 | 4322 | 56679 |
| 10 | 2232 | 55898 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1392 |
| 2 | AL-3 | 1315 |
| 3 | GOOGLE-CLOUD | 1007 |
| 4 | PAN-22 | 949 |
| 5 | ASEPL-SG | 450 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 381 |
| 8 | VOLCANO-ENGINE | 365 |
| 9 | UCLOUD-HK | 253 |
| 10 | AT-88-Z | 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 | 8754 |
| 2 | China | 3627 |
| 3 | Singapore | 678 |
| 4 | France | 553 |
| 5 | Germany | 380 |
| 6 | Netherlands | 378 |
| 7 | Hong Kong | 352 |
| 8 | Indonesia | 226 |
| 9 | United Kingdom | 214 |
| 10 | South Korea | 211 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 403081 |
| 2 | 51005 | 189328 |
| 3 | 2078 | 153670 |
| 4 | 2095 | 82307 |
| 5 | 7777 | 76612 |
| 6 | 2222 | 74474 |
| 7 | 2288 | 64073 |
| 8 | 8015 | 62307 |
| 9 | 2206 | 62013 |
| 10 | 6022 | 61801 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1366 |
| 2 | AL-3 | 1282 |
| 3 | GOOGLE-CLOUD | 1004 |
| 4 | PAN-22 | 950 |
| 5 | ASEPL-SG | 479 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | VOLCANO-ENGINE | 375 |
| 8 | CENSY | 375 |
| 9 | cloud | 327 |
| 10 | UCLOUD-HK | 259 |
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 | 7855 |
| 2 | China | 3567 |
| 3 | Singapore | 831 |
| 4 | France | 542 |
| 5 | Germany | 375 |
| 6 | Hong Kong | 354 |
| 7 | Netherlands | 348 |
| 8 | Indonesia | 249 |
| 9 | United Kingdom | 226 |
| 10 | South Korea | 217 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 424324 |
| 2 | 888 | 306750 |
| 3 | 51005 | 208858 |
| 4 | 8088 | 137190 |
| 5 | 2078 | 118368 |
| 6 | 5357 | 93142 |
| 7 | 2288 | 63120 |
| 8 | 7777 | 61224 |
| 9 | 2206 | 61191 |
| 10 | 2222 | 52601 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1393 |
| 2 | AL-3 | 1388 |
| 3 | GOOGLE-CLOUD | 1000 |
| 4 | PAN-22 | 950 |
| 5 | ASEPL-SG | 480 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 380 |
| 8 | VOLCANO-ENGINE | 370 |
| 9 | cloud | 338 |
| 10 | UCLOUD-HK | 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 | 8231 |
| 2 | China | 3793 |
| 3 | Singapore | 804 |
| 4 | France | 544 |
| 5 | Hong Kong | 372 |
| 6 | Netherlands | 361 |
| 7 | Germany | 275 |
| 8 | Indonesia | 255 |
| 9 | United Kingdom | 249 |
| 10 | India | 216 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 517780 |
| 2 | 888 | 192702 |
| 3 | 4222 | 106156 |
| 4 | 51005 | 105279 |
| 5 | 8088 | 89904 |
| 6 | 2078 | 66807 |
| 7 | 8085 | 66538 |
| 8 | 2288 | 63358 |
| 9 | 2231 | 61086 |
| 10 | 5357 | 60994 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1355 |
| 2 | GOOGLE-CLOUD | 1008 |
| 3 | PAN-22 | 950 |
| 4 | AL-3 | 927 |
| 5 | FR-ONYPHE-20191111 | 448 |
| 6 | CENSY | 377 |
| 7 | VOLCANO-ENGINE | 371 |
| 8 | ASEPL-SG | 368 |
| 9 | cloud | 308 |
| 10 | UCLOUD-HK | 262 |
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 | 8125 |
| 2 | China | 3126 |
| 3 | Singapore | 649 |
| 4 | France | 562 |
| 5 | Netherlands | 413 |
| 6 | Hong Kong | 362 |
| 7 | Indonesia | 269 |
| 8 | South Korea | 240 |
| 9 | India | 231 |
| 10 | United Kingdom | 230 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 535292 |
| 2 | 5357 | 151774 |
| 3 | 888 | 112720 |
| 4 | 4222 | 106771 |
| 5 | 8088 | 100730 |
| 6 | 8085 | 72132 |
| 7 | 9443 | 69783 |
| 8 | 2078 | 61845 |
| 9 | 8000 | 59818 |
| 10 | 2231 | 59327 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1387 |
| 2 | AL-3 | 1251 |
| 3 | GOOGLE-CLOUD | 1005 |
| 4 | PAN-22 | 950 |
| 5 | ASEPL-SG | 514 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 378 |
| 8 | VOLCANO-ENGINE | 377 |
| 9 | cloud | 322 |
| 10 | UCLOUD-HK | 263 |
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 | 7707 |
| 2 | China | 3716 |
| 3 | Singapore | 762 |
| 4 | France | 555 |
| 5 | Netherlands | 371 |
| 6 | Hong Kong | 360 |
| 7 | Indonesia | 281 |
| 8 | South Korea | 227 |
| 9 | United Kingdom | 224 |
| 10 | India | 211 |