Welcome To Next Generation AI SOC

From Reactive to Proactive Cyber Defense

Dark web threat intelligence and threat actor activity

We watch leak sites, ransomware blogs and closed channels for the moment a company name appears. Here is what that has recorded worldwide.

Three different measures, not a series: a rolling window, a running total of logins, and the full archive.

Most targeted countries

AREA = INCIDENTS
WORLDWIDE 23,828 organizations named, last 90 days
CREDENTIALS 106,797 logins seen dumped or for sale
ARCHIVE 144,811 everything recorded since 2020
USA — 2,148 Indonesia — 986 France — 820 India — 740 Israel — 582 Iran — 571 Mexico — 559 Thailand — 554 Germany — 442 Brazil — 431 2,148 986 820 740 582 571 559 554 442 431

Counted across 13,891 of 23,828 incidents (58%) that name a country. Figures are what was observed, not a total.

Most targeted sectors

SHARE OF INCIDENTS
Government Administration — 2,124Education — 1,024Information Technology (IT) Services — 609Financial Services — 445Government & Public Sector — 401Transportation & Logistics — 355Everything else — 1,727 31.8% GOVERNMENT ADMINI…
  1. Government Administration 31.8% 2,124
  2. Education 15.3% 1,024
  3. Information Technology (IT) Services 9.1% 609
  4. Financial Services 6.7% 445
  5. Government & Public Sector 6.0% 401
  6. Transportation & Logistics 5.3% 355
  7. Everything else 25.8% 1,727

South-East Asia, 12 months

AREA = INCIDENTS
  1. Indonesia 2,020
  2. Thailand 1,195
  3. Malaysia 212
  4. Philippines 204
  5. Vietnam 178
  6. Singapore 121
  7. Brunei 2

About 72% of posts name a country, so every figure here is a floor.

What actually happened

  • Data exposed 12,526 53% Data Breach 10,795 · Data Leak 1,692 · Combo List 33 · Logs 6
  • Disruption 5,380 23% Defacement 3,270 · DDoS Attack 1,984 · Cyber Attack 126
  • Access sold 2,706 11% Initial Access 2,706
  • Ransomware and extortion 2,534 11% Ransomware 2,534

75% of incidents involved stolen access, ransomware or exposed data, not website defacement.

89 days of activity

Each bar is one day, counted from every incident recorded in the window. A flat run is a quiet week rather than a gap in collection. 19,203 incidents across these 89 days, updated 9 hours ago.

Dated by when each incident was observed, not when it happened. Today is excluded while it is still in progress. One day carries 3,718 from a collection backfill; it is drawn off the scale so it cannot flatten the rest.

Wed 5 Aug 2026 696 busiest day — point at a bar for any other
Fri 22 May 2026 — 143 Sat 23 May 2026 — 150 Sun 24 May 2026 — 228 Mon 25 May 2026 — 163 Tue 26 May 2026 — 53 Wed 27 May 2026 — 0 Thu 28 May 2026 — 0 Fri 29 May 2026 — 594 Sat 30 May 2026 — 130 Sun 31 May 2026 — 114 Mon 1 Jun 2026 — 168 Tue 2 Jun 2026 — 122 Wed 3 Jun 2026 — 168 Thu 4 Jun 2026 — 220 Fri 5 Jun 2026 — 173 Sat 6 Jun 2026 — 160 Sun 7 Jun 2026 — 118 Mon 8 Jun 2026 — 135 Tue 9 Jun 2026 — 123 Wed 10 Jun 2026 — 196 Thu 11 Jun 2026 — 165 Fri 12 Jun 2026 — 131 Sat 13 Jun 2026 — 136 Sun 14 Jun 2026 — 250 Mon 15 Jun 2026 — 171 Tue 16 Jun 2026 — 139 Wed 17 Jun 2026 — 107 Thu 18 Jun 2026 — 188 Fri 19 Jun 2026 — 198 Sat 20 Jun 2026 — 200 Sun 21 Jun 2026 — 123 Mon 22 Jun 2026 — 213 Tue 23 Jun 2026 — 118 Wed 24 Jun 2026 — 124 Thu 25 Jun 2026 — 162 Fri 26 Jun 2026 — 186 Sat 27 Jun 2026 — 174 Sun 28 Jun 2026 — 145 Mon 29 Jun 2026 — 244 Tue 30 Jun 2026 — 176 Wed 1 Jul 2026 — 212 Thu 2 Jul 2026 — 155 Fri 3 Jul 2026 — 214 Sat 4 Jul 2026 — 136 Sun 5 Jul 2026 — 114 Mon 6 Jul 2026 — 153 Tue 7 Jul 2026 — 213 Wed 8 Jul 2026 — 205 Thu 9 Jul 2026 — 33 Fri 10 Jul 2026 — 198 Sat 11 Jul 2026 — 135 Sun 12 Jul 2026 — 128 Mon 13 Jul 2026 — 162 Tue 14 Jul 2026 — 205 Wed 15 Jul 2026 — 171 Thu 16 Jul 2026 — 212 Fri 17 Jul 2026 — 71 Sat 18 Jul 2026 — 0 Sun 19 Jul 2026 — 114 Mon 20 Jul 2026 — 207 Tue 21 Jul 2026 — 400 Wed 22 Jul 2026 — 202 Thu 23 Jul 2026 — 234 Fri 24 Jul 2026 — 285 Sat 25 Jul 2026 — 191 Sun 26 Jul 2026 — 169 Mon 27 Jul 2026 — 231 Tue 28 Jul 2026 — 191 Wed 29 Jul 2026 — 195 Thu 30 Jul 2026 — 183 Fri 31 Jul 2026 — 153 Sat 1 Aug 2026 — 151 Sun 2 Aug 2026 — 176 Mon 3 Aug 2026 — 207 Tue 4 Aug 2026 — 241 Wed 5 Aug 2026 — 3,718 (off scale) Thu 6 Aug 2026 — 236 Fri 7 Aug 2026 — 220 Sat 8 Aug 2026 — 174 Sun 9 Aug 2026 — 244 Mon 10 Aug 2026 — 227 Tue 11 Aug 2026 — 210 Wed 12 Aug 2026 — 198 Thu 13 Aug 2026 — 129 Fri 14 Aug 2026 — 153 Sat 15 Aug 2026 — 192 Sun 16 Aug 2026 — 304 Mon 17 Aug 2026 — 223 Tue 18 Aug 2026 — 220
Every day, with its count
  1. Tue 18 Aug 2026 220
  2. Mon 17 Aug 2026 223
  3. Sun 16 Aug 2026 304
  4. Sat 15 Aug 2026 192
  5. Fri 14 Aug 2026 153
  6. Thu 13 Aug 2026 129
  7. Wed 12 Aug 2026 198
  8. Tue 11 Aug 2026 210
  9. Mon 10 Aug 2026 227
  10. Sun 9 Aug 2026 244
  11. Sat 8 Aug 2026 174
  12. Fri 7 Aug 2026 220
  13. Thu 6 Aug 2026 236
  14. Wed 5 Aug 2026 3,718
  15. Tue 4 Aug 2026 241
  16. Mon 3 Aug 2026 207
  17. Sun 2 Aug 2026 176
  18. Sat 1 Aug 2026 151
  19. Fri 31 Jul 2026 153
  20. Thu 30 Jul 2026 183
  21. Wed 29 Jul 2026 195
  22. Tue 28 Jul 2026 191
  23. Mon 27 Jul 2026 231
  24. Sun 26 Jul 2026 169
  25. Sat 25 Jul 2026 191
  26. Fri 24 Jul 2026 285
  27. Thu 23 Jul 2026 234
  28. Wed 22 Jul 2026 202
  29. Tue 21 Jul 2026 400
  30. Mon 20 Jul 2026 207
  31. Sun 19 Jul 2026 114
  32. Sat 18 Jul 2026 0
  33. Fri 17 Jul 2026 71
  34. Thu 16 Jul 2026 212
  35. Wed 15 Jul 2026 171
  36. Tue 14 Jul 2026 205
  37. Mon 13 Jul 2026 162
  38. Sun 12 Jul 2026 128
  39. Sat 11 Jul 2026 135
  40. Fri 10 Jul 2026 198
  41. Thu 9 Jul 2026 33
  42. Wed 8 Jul 2026 205
  43. Tue 7 Jul 2026 213
  44. Mon 6 Jul 2026 153
  45. Sun 5 Jul 2026 114
  46. Sat 4 Jul 2026 136
  47. Fri 3 Jul 2026 214
  48. Thu 2 Jul 2026 155
  49. Wed 1 Jul 2026 212
  50. Tue 30 Jun 2026 176
  51. Mon 29 Jun 2026 244
  52. Sun 28 Jun 2026 145
  53. Sat 27 Jun 2026 174
  54. Fri 26 Jun 2026 186
  55. Thu 25 Jun 2026 162
  56. Wed 24 Jun 2026 124
  57. Tue 23 Jun 2026 118
  58. Mon 22 Jun 2026 213
  59. Sun 21 Jun 2026 123
  60. Sat 20 Jun 2026 200
  61. Fri 19 Jun 2026 198
  62. Thu 18 Jun 2026 188
  63. Wed 17 Jun 2026 107
  64. Tue 16 Jun 2026 139
  65. Mon 15 Jun 2026 171
  66. Sun 14 Jun 2026 250
  67. Sat 13 Jun 2026 136
  68. Fri 12 Jun 2026 131
  69. Thu 11 Jun 2026 165
  70. Wed 10 Jun 2026 196
  71. Tue 9 Jun 2026 123
  72. Mon 8 Jun 2026 135
  73. Sun 7 Jun 2026 118
  74. Sat 6 Jun 2026 160
  75. Fri 5 Jun 2026 173
  76. Thu 4 Jun 2026 220
  77. Wed 3 Jun 2026 168
  78. Tue 2 Jun 2026 122
  79. Mon 1 Jun 2026 168
  80. Sun 31 May 2026 114
  81. Sat 30 May 2026 130
  82. Fri 29 May 2026 594
  83. Thu 28 May 2026 0
  84. Wed 27 May 2026 0
  85. Tue 26 May 2026 53
  86. Mon 25 May 2026 163
  87. Sun 24 May 2026 228
  88. Sat 23 May 2026 150
  89. Fri 22 May 2026 143

Check your own exposure

2,124 incidents in the last 90 days named organizations in Government Administration.

  • Access sold 13%
  • Ransomware and extortion 3%
  • Data exposed 27%
  • Disruption 55%

Counted from every incident in the window, not sampled.

2,148 incidents in the last 90 days named organizations in USA.

  • Access sold 14%
  • Ransomware and extortion 41%
  • Data exposed 31%
  • Disruption 12%

Counted from every incident in the window, not sampled.

GLOBAL THREAT VIEW

IOCs (24h)
810
last 1d
Actively-Exploited CVEs
1,671
CISA KEV
Botnet C2 Servers
5
1 online
Top Attack Source
18.7%
Brazil
Range

Attack Flows

Drag to rotate

Tracking 12 attack routes over the last 7d. Busiest is Brazil to Hong Kong at 2.5% of observed attack traffic. Each line is a country pair, and the more traffic it carries the brighter and busier it runs.

Top Network Attack Vectors

  • Mirai (UDP) Flood68.1%
  • UDP Flood18.3%
  • SYN Flood6.5%
  • DNS Flood2.5%
  • SFU Flood1.1%
  • ACK Flood1%

Attack Protocol Mix

  • UDP91.9%
  • TCP8.1%
  • GRE0%
  • ICMP0%

Top Scanned TCP Ports

SANS ISC / DShield
  1. 122 · ssh507,762
  2. 280 · www473,015
  3. 323 · telnet209,862
  4. 48000 · irdmi140,211
  5. 58080 · http-alt137,214
  6. 6443 · https120,563
  7. 72222 · ssh79,442
  8. 8853 · domain-s73,747

Top Scanned UDP Ports

SANS ISC / DShield
  1. 1137 · netbios-ns2,499
  2. 253 · domain1,017
  3. 3123 · ntp631
  4. 45060 · sip624
  5. 51900 · ssdp458
  6. 6500 · isakmp373
  7. 75353 · mdns311
  8. 827015 · halflife215

Active Malware Families

abuse.ch
  1. 1Unknown malware151
  2. 2ClearFake119
  3. 3IClickFix94
  4. 4NeedleStealer74
  5. 5PureRAT51
44 Malware families
5 C2 servers
361 Malicious domains
158 Malicious URLs
1,671 Known exploited CVEs

Sources: Cloudflare Radar (CC BY-NC 4.0), SANS ISC / DShield, abuse.ch, CISA KEV. Updated August 20, 2026.

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