detection period: 2026-04-21 00:00-23:59 UTC
total number of suspected botnet IPs: 20123
number of botnet IPs notified to network operators (best case, if all mail were sent out successfully): 18939
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 | 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 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 496622 |
| 2 | 8088 | 148239 |
| 3 | 4222 | 110715 |
| 4 | 5357 | 76138 |
| 5 | 2095 | 68995 |
| 6 | 2078 | 67603 |
| 7 | 51005 | 57728 |
| 8 | 8085 | 56508 |
| 9 | 2231 | 55837 |
| 10 | 9022 | 44702 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1361 |
| 2 | AL-3 | 1304 |
| 3 | GOOGLE-CLOUD | 1034 |
| 4 | PAN-22 | 950 |
| 5 | ASEPL-SG | 547 |
| 6 | FR-ONYPHE-20191111 | 447 |
| 7 | CENSY | 376 |
| 8 | VOLCANO-ENGINE | 370 |
| 9 | cloud | 331 |
| 10 | LINODE-US | 274 |
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 | 8807 |
| 2 | China | 3311 |
| 3 | Singapore | 939 |
| 4 | France | 572 |
| 5 | Netherlands | 390 |
| 6 | Hong Kong | 364 |
| 7 | Indonesia | 288 |
| 8 | India | 243 |
| 9 | United Kingdom | 226 |
| 10 | South Korea | 224 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 473362 |
| 2 | 4222 | 124464 |
| 3 | 25 | 104550 |
| 4 | 2271 | 96650 |
| 5 | 2205 | 61562 |
| 6 | 2231 | 54311 |
| 7 | 0 | 46447 |
| 8 | 58603 | 45142 |
| 9 | 2222 | 39907 |
| 10 | 8088 | 34455 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1346 |
| 2 | AL-3 | 1255 |
| 3 | GOOGLE-CLOUD | 1011 |
| 4 | PAN-22 | 950 |
| 5 | FR-ONYPHE-20191111 | 448 |
| 6 | ASEPL-SG | 429 |
| 7 | CENSY | 375 |
| 8 | VOLCANO-ENGINE | 374 |
| 9 | cloud | 270 |
| 10 | UCLOUD-HK | 260 |
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 | 3404 |
| 3 | Singapore | 771 |
| 4 | France | 560 |
| 5 | Hong Kong | 369 |
| 6 | Netherlands | 332 |
| 7 | Indonesia | 274 |
| 8 | India | 251 |
| 9 | Germany | 238 |
| 10 | South Korea | 227 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 376942 |
| 2 | 25 | 195262 |
| 3 | 4222 | 106780 |
| 4 | 0 | 104984 |
| 5 | 2271 | 99310 |
| 6 | 58603 | 98417 |
| 7 | 2095 | 92856 |
| 8 | 2205 | 91534 |
| 9 | 2222 | 72345 |
| 10 | 7777 | 62709 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1351 |
| 2 | AL-3 | 1351 |
| 3 | GOOGLE-CLOUD | 1005 |
| 4 | PAN-22 | 951 |
| 5 | ASEPL-SG | 547 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 381 |
| 8 | VOLCANO-ENGINE | 370 |
| 9 | cloud | 321 |
| 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 | 8631 |
| 2 | China | 3370 |
| 3 | Singapore | 927 |
| 4 | France | 555 |
| 5 | Netherlands | 368 |
| 6 | Hong Kong | 344 |
| 7 | United Kingdom | 257 |
| 8 | Germany | 244 |
| 9 | Indonesia | 231 |
| 10 | South Korea | 220 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 425806 |
| 2 | 25 | 157491 |
| 3 | 58603 | 114872 |
| 4 | 2095 | 106440 |
| 5 | 2205 | 102238 |
| 6 | 7777 | 92993 |
| 7 | 9443 | 79257 |
| 8 | 8000 | 69799 |
| 9 | 8088 | 65344 |
| 10 | 1012 | 60520 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1375 |
| 2 | AL-3 | 1274 |
| 3 | GOOGLE-CLOUD | 1002 |
| 4 | PAN-22 | 950 |
| 5 | ASEPL-SG | 534 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | VOLCANO-ENGINE | 385 |
| 8 | CENSY | 379 |
| 9 | UCLOUD-HK | 259 |
| 10 | FR-ONYPHE-20221109 | 239 |
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 | 7992 |
| 2 | China | 3348 |
| 3 | Singapore | 856 |
| 4 | France | 563 |
| 5 | Hong Kong | 367 |
| 6 | Netherlands | 356 |
| 7 | Indonesia | 270 |
| 8 | United Kingdom | 257 |
| 9 | South Korea | 213 |
| 10 | Germany | 207 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 452983 |
| 2 | 2205 | 104790 |
| 3 | 888 | 73035 |
| 4 | 8000 | 64207 |
| 5 | 7777 | 62753 |
| 6 | 25 | 62302 |
| 7 | 8085 | 51000 |
| 8 | 8088 | 50717 |
| 9 | 9443 | 50012 |
| 10 | 5357 | 49846 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1356 |
| 2 | AL-3 | 1304 |
| 3 | GOOGLE-CLOUD | 1012 |
| 4 | PAN-22 | 950 |
| 5 | ASEPL-SG | 506 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | CENSY | 381 |
| 8 | VOLCANO-ENGINE | 370 |
| 9 | cloud | 327 |
| 10 | UCLOUD-HK | 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 | 8385 |
| 2 | China | 3174 |
| 3 | Singapore | 820 |
| 4 | France | 553 |
| 5 | Hong Kong | 366 |
| 6 | Netherlands | 331 |
| 7 | Germany | 252 |
| 8 | United Kingdom | 251 |
| 9 | Indonesia | 249 |
| 10 | South Korea | 232 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 448419 |
| 2 | 888 | 299465 |
| 3 | 2222 | 165406 |
| 4 | 8000 | 143359 |
| 5 | 7777 | 109951 |
| 6 | 2256 | 97351 |
| 7 | 2238 | 94542 |
| 8 | 2205 | 93336 |
| 9 | 2000 | 89980 |
| 10 | 25 | 81697 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1382 |
| 2 | AL-3 | 1316 |
| 3 | GOOGLE-CLOUD | 1013 |
| 4 | PAN-22 | 950 |
| 5 | ASEPL-SG | 542 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | VOLCANO-ENGINE | 402 |
| 8 | CENSY | 383 |
| 9 | cloud | 324 |
| 10 | UCLOUD-HK | 261 |
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 | 9068 |
| 2 | China | 3369 |
| 3 | Singapore | 923 |
| 4 | France | 549 |
| 5 | Netherlands | 375 |
| 6 | Hong Kong | 371 |
| 7 | Indonesia | 311 |
| 8 | United Kingdom | 255 |
| 9 | South Korea | 227 |
| 10 | India | 226 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 390007 |
| 2 | 7777 | 191896 |
| 3 | 8000 | 178771 |
| 4 | 8015 | 111911 |
| 5 | 25 | 104287 |
| 6 | 888 | 99236 |
| 7 | 2238 | 94483 |
| 8 | 2205 | 89895 |
| 9 | 2256 | 81641 |
| 10 | 2222 | 75326 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | MSFT | 1360 |
| 2 | AL-3 | 1341 |
| 3 | GOOGLE-CLOUD | 1005 |
| 4 | PAN-22 | 950 |
| 5 | ASEPL-SG | 658 |
| 6 | FR-ONYPHE-20191111 | 448 |
| 7 | VOLCANO-ENGINE | 412 |
| 8 | CENSY | 379 |
| 9 | cloud | 289 |
| 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 | 8352 |
| 2 | China | 3612 |
| 3 | Singapore | 1007 |
| 4 | France | 538 |
| 5 | Hong Kong | 376 |
| 6 | Netherlands | 318 |
| 7 | Indonesia | 293 |
| 8 | Germany | 277 |
| 9 | India | 237 |
| 10 | United Kingdom | 235 |
| Rank | TCP port number | # of connection attempts received |
|---|---|---|
| 1 | 5900 | 407272 |
| 2 | 888 | 311121 |
| 3 | 7777 | 265530 |
| 4 | 51005 | 184929 |
| 5 | 8000 | 168306 |
| 6 | 25 | 168240 |
| 7 | 2000 | 156083 |
| 8 | 8015 | 139461 |
| 9 | 5357 | 131503 |
| 10 | 2205 | 92308 |
| Rank | Network | # of suspected botnet IPs |
|---|---|---|
| 1 | AL-3 | 1433 |
| 2 | MSFT | 1372 |
| 3 | GOOGLE-CLOUD | 1008 |
| 4 | PAN-22 | 951 |
| 5 | ASEPL-SG | 936 |
| 6 | FR-ONYPHE-20191111 | 400 |
| 7 | VOLCANO-ENGINE | 399 |
| 8 | CENSY | 384 |
| 9 | cloud | 307 |
| 10 | ALISOFT | 305 |
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 | 8782 |
| 2 | China | 3662 |
| 3 | Singapore | 1410 |
| 4 | France | 479 |
| 5 | Hong Kong | 366 |
| 6 | Indonesia | 341 |
| 7 | Netherlands | 306 |
| 8 | United Kingdom | 252 |
| 9 | India | 251 |
| 10 | Germany | 230 |