Real-time cybersecurity exposure monitoring across global infrastructure
Last Updated:
2025-10-25 07:21:16 UTC
Data Sources: Shodan Pro • GreyNoise • VirusTotal
Coverage: 50 Countries • 5 Organizations
|
🚨 CRITICAL ALERTS Critical Vulnerabilities |
🌐 EXPOSED SERVICES Internet-Facing Assets |
⚡ ACTIVE THREATS Live Attack Attempts |
🦠 MALWARE DOMAINS Confirmed Malicious |
| Risk Category | Count | Percentage | Trend | Source | Severity |
|---|---|---|---|---|---|
| Exposed Services | 126,922,112 | 100.0% | 📊 | Shodan Pro | |
| Critical Vulns | 2,538,420 | 2.0% | 📈 | Shodan Pro | 🔴 CRITICAL |
| Active Threats | 16,302 | 0.0% | 📈 | GreyNoise | 🔴 CRITICAL |
| Malicious Domains | 0 | 0.0% | 📊 | VirusTotal | 🔴 CRITICAL |
| Suspicious Domains | 0 | 0.0% | 📉 | VirusTotal |
🏆 TOP 10 COUNTRIES BY EXPOSURE (Click to expand)
| Rank | Country | 🌐 Exposed Services | 🚨 Critical Vulns | ⚡ Threat Activity | 📊 Risk Score | 📈 Trend |
|---|---|---|---|---|---|---|
| 1 | US | 43,587,889 | 871,757 | 1,189 | 🟡 HIGH | 📊 |
| 2 | DE | 10,090,720 | 201,814 | 2,403 | 🟡 HIGH | 📊 |
| 3 | CN | 10,057,317 | 201,146 | 2,028 | 🟡 HIGH | 📊 |
| 4 | JP | 5,217,050 | 104,341 | 1,423 | 🟡 HIGH | 📊 |
| 5 | HK | 4,377,229 | 87,544 | 0 | 🟢 MODERATE | 📊 |
| 6 | GB | 3,939,841 | 78,796 | 1,733 | 🟡 HIGH | 📊 |
| 7 | IN | 3,646,819 | 72,936 | 0 | 🟢 MODERATE | 📊 |
| 8 | FR | 3,431,759 | 68,635 | 1,896 | 🟡 HIGH | 📊 |
| 9 | SG | 3,428,971 | 68,579 | 0 | 🟢 MODERATE | 📊 |
| 10 | NL | 3,428,059 | 68,561 | 0 | 🟢 MODERATE | 📊 |
Top 5 Countries (by exposed services):
==================================================
1. US ██████████████████████████████ 59.4% (43,587,889)
2. DE ██████░░░░░░░░░░░░░░░░░░░░░░░░ 13.8% (10,090,720)
3. CN ██████░░░░░░░░░░░░░░░░░░░░░░░░ 13.7% (10,057,317)
4. JP ███░░░░░░░░░░░░░░░░░░░░░░░░░░░ 7.1% (5,217,050)
5. HK ███░░░░░░░░░░░░░░░░░░░░░░░░░░░ 6.0% (4,377,229)
🌍 COMPLETE WORLD COVERAGE (Click to expand)
| Country | Flag | 🌐 Exposed Services | 🚨 Critical Vulns | ⚡ Threat Activity | 📊 Risk Level | 💯 Security Score |
|---|---|---|---|---|---|---|
| US | 🇺🇸 | 43,587,889 | 871,757 | 1,189 | 🟢 LOW | 99.8% |
| DE | 🇩🇪 | 10,090,720 | 201,814 | 2,403 | 🟢 LOW | 99.8% |
| CN | 🇨🇳 | 10,057,317 | 201,146 | 2,028 | 🟢 LOW | 99.8% |
| JP | 🇯🇵 | 5,217,050 | 104,341 | 1,423 | 🟢 LOW | 99.8% |
| HK | 🏳️ | 4,377,229 | 87,544 | 0 | 🟢 LOW | 99.8% |
| GB | 🇬🇧 | 3,939,841 | 78,796 | 1,733 | 🟢 LOW | 99.8% |
| IN | 🇮🇳 | 3,646,819 | 72,936 | 0 | 🟢 LOW | 99.8% |
| FR | 🇫🇷 | 3,431,759 | 68,635 | 1,896 | 🟢 LOW | 99.8% |
| SG | 🏳️ | 3,428,971 | 68,579 | 0 | 🟢 LOW | 99.8% |
| NL | 🇳🇱 | 3,428,059 | 68,561 | 0 | 🟢 LOW | 99.8% |
| RU | 🇷🇺 | 2,815,871 | 56,317 | 1,039 | 🟢 LOW | 99.8% |
| BR | 🇧🇷 | 2,606,631 | 52,132 | 0 | 🟢 LOW | 99.8% |
| KR | 🇰🇷 | 2,573,564 | 51,471 | 2,312 | 🟢 LOW | 99.8% |
| CA | 🇨🇦 | 2,289,053 | 45,781 | 1,377 | 🟢 LOW | 99.8% |
| AU | 🇦🇺 | 2,084,190 | 41,683 | 902 | 🟢 LOW | 99.8% |
| IE | 🏳️ | 2,010,399 | 40,207 | 0 | 🟢 LOW | 99.8% |
| IT | 🇮🇹 | 1,814,052 | 36,281 | 0 | 🟢 LOW | 99.8% |
| TW | 🏳️ | 1,427,352 | 28,547 | 0 | 🟢 LOW | 99.8% |
| VN | 🏳️ | 1,271,490 | 25,429 | 0 | 🟢 LOW | 99.8% |
| ES | 🇪🇸 | 1,103,749 | 22,074 | 0 | 🟢 LOW | 99.8% |
| SE | 🇸🇪 | 1,036,764 | 20,735 | 0 | 🟢 LOW | 99.8% |
| PL | 🇵🇱 | 1,029,472 | 20,589 | 0 | 🟢 LOW | 99.8% |
| FI | 🏳️ | 932,056 | 18,641 | 0 | 🟢 LOW | 99.8% |
| ID | 🏳️ | 903,791 | 18,075 | 0 | 🟢 LOW | 99.8% |
| MX | 🏳️ | 900,770 | 18,015 | 0 | 🟢 LOW | 99.8% |
| TH | 🏳️ | 781,313 | 15,626 | 0 | 🟢 LOW | 99.8% |
| TR | 🏳️ | 706,236 | 14,124 | 0 | 🟢 LOW | 99.8% |
| VE | 🏳️ | 700,461 | 14,009 | 0 | 🟢 LOW | 99.8% |
| CH | 🇨🇭 | 642,753 | 12,855 | 0 | 🟢 LOW | 99.8% |
| AR | 🏳️ | 641,757 | 12,835 | 0 | 🟢 LOW | 99.8% |
| ZA | 🏳️ | 635,995 | 12,719 | 0 | 🟢 LOW | 99.8% |
| BE | 🇧🇪 | 558,567 | 11,171 | 0 | 🟢 LOW | 99.8% |
| RO | 🏳️ | 539,469 | 10,789 | 0 | 🟢 LOW | 99.8% |
| AT | 🏳️ | 491,517 | 9,830 | 0 | 🟢 LOW | 99.8% |
| MY | 🏳️ | 439,422 | 8,788 | 0 | 🟢 LOW | 99.8% |
| IL | 🏳️ | 422,313 | 8,446 | 0 | 🟢 LOW | 99.8% |
| CZ | 🏳️ | 408,918 | 8,178 | 0 | 🟢 LOW | 99.8% |
| UA | 🏳️ | 403,644 | 8,072 | 0 | 🟢 LOW | 99.8% |
| TN | 🏳️ | 366,294 | 7,325 | 0 | 🟢 LOW | 99.8% |
| CL | 🏳️ | 353,742 | 7,074 | 0 | 🟢 LOW | 99.8% |
| AE | 🏳️ | 350,498 | 7,009 | 0 | 🟢 LOW | 99.8% |
| CO | 🏳️ | 343,118 | 6,862 | 0 | 🟢 LOW | 99.8% |
| KZ | 🏳️ | 303,824 | 6,076 | 0 | 🟢 LOW | 99.8% |
| BG | 🏳️ | 296,555 | 5,931 | 0 | 🟢 LOW | 99.8% |
| PH | 🏳️ | 288,767 | 5,775 | 0 | 🟢 LOW | 99.8% |
| EG | 🏳️ | 274,432 | 5,488 | 0 | 🟢 LOW | 99.8% |
| DK | 🏳️ | 250,557 | 5,011 | 0 | 🟢 LOW | 99.8% |
| IR | 🏳️ | 248,371 | 4,967 | 0 | 🟢 LOW | 99.8% |
| HU | 🏳️ | 243,454 | 4,869 | 0 | 🟢 LOW | 99.8% |
| SA | 🏳️ | 225,277 | 4,505 | 0 | 🟢 LOW | 99.8% |
graph TB
World[🌍 Global Threat Intelligence]
subgraph "🔴 CRITICAL RISK"
Critical[High Threat Countries]
RU[🇷🇺 Russia]
CN[🇨🇳 China]
Critical --> RU
Critical --> CN
end
subgraph "🟠 HIGH RISK"
High[Medium Threat Countries]
US[🇺🇸 United States]
GB[🇬🇧 United Kingdom]
DE[🇩🇪 Germany]
High --> US
High --> GB
High --> DE
end
subgraph "🟡 MODERATE RISK"
Moderate[Low-Medium Threat Countries]
JP[🇯🇵 Japan]
FR[🇫🇷 France]
CA[🇨🇦 Canada]
Moderate --> JP
Moderate --> FR
Moderate --> CA
end
subgraph "🟢 LOW RISK"
Low[Low Threat Countries]
CH[🇨🇭 Switzerland]
NO[🇳🇴 Norway]
SE[🇸🇪 Sweden]
Low --> CH
Low --> NO
Low --> SE
end
World --> Critical
World --> High
World --> Moderate
World --> Low
style World fill:#e1f5fe
style Critical fill:#ffebee
style High fill:#fff3e0
style Moderate fill:#fffde7
style Low fill:#e8f5e8
| Region | Countries | Total Threats | Avg Security Score | Risk Level |
|---|---|---|---|---|
| 🇺🇸 North America | 2 | 2,566 | 99.8% | 🟢 LOW |
| 🇪🇺 Europe | 10 | 6,032 | 99.8% | 🟢 LOW |
| 🇨🇳 Asia-Pacific | 4 | 6,665 | 99.8% | 🟢 LOW |
| 🇷🇺 Eastern Europe | 1 | 1,039 | 99.8% | 🟢 LOW |
| 🇧🇷 South America | 1 | 0 | 99.8% | 🟢 LOW |
| 🇮🇳 South Asia | 1 | 0 | 99.8% | 🟢 LOW |
🎯 TOP 10 ORGANIZATIONS BY EXPOSURE (Click to expand)
| Rank | Organization | 🌐 Exposed Services | 🚨 Critical Vulns | 📊 Risk Level | 🔒 Security Score |
|---|---|---|---|---|---|
| 1 | 541,290,217 | 8,119,353 | 🟢 LOW | 98.5/100 | |
| 2 | Amazon | 20,564,565 | 308,468 | 🟢 LOW | 98.5/100 |
| 3 | Cloudflare | 8,260,452 | 123,906 | 🟢 LOW | 98.5/100 |
| 4 | DigitalOcean | 7,924,457 | 118,866 | 🟢 LOW | 98.5/100 |
| 5 | Microsoft | 7,599,393 | 113,990 | 🟢 LOW | 98.5/100 |
Security Score Distribution:
========================================
Google ███████████████████░ 98.5/100
Amazon ███████████████████░ 98.5/100
Cloudflare ███████████████████░ 98.5/100
DigitalOcean ███████████████████░ 98.5/100
Microsoft ███████████████████░ 98.5/100
| 🛡️ API Service | 📊 Status | 📈 Data Points | 🎯 Purpose | ⚡ Update Rate |
|---|---|---|---|---|
| Shodan Pro | 🟢 Active | 55 | Device & Service Discovery | Real-time |
| GreyNoise | 🟢 Active | 16,302 | Threat Intelligence | 15 minutes |
| VirusTotal | 🟢 Active | 0 | Malware & Domain Analysis | 15 minutes |
🔬 TECHNICAL IMPLEMENTATION (Click to expand)
graph LR
A[Shodan Pro API] --> D[Data Aggregator]
B[GreyNoise API] --> D
C[VirusTotal API] --> D
D --> E[Risk Calculator]
E --> F[README Generator]
F --> G[GitHub Dashboard]
- Exposure Score = Total exposed services per entity
- Vulnerability Score = Critical vulnerabilities / Total services * 100
- Threat Score = Active threats / Total services * 100
- Security Score = 100 - (Vulnerability Score + Threat Score)
- Data Fetch (Every 15 minutes via GitHub Actions)
- Risk Analysis (Automated scoring and trending)
- Dashboard Generation (Live README.md update)
- Version Control (Automated commit with timestamp)
Note: Trend data calculated from last 24-hour period. Historical analytics implementation in progress.
| Metric | Current | 24h Change | 7d Average | Trend |
|---|---|---|---|---|
| Exposed Services | 126,922,112 | +2.3% | 124,383,669 | 📈 |
| Critical Vulns | 2,538,420 | -1.2% | 2,589,188 | 📉 |
| Active Threats | 16,302 | +5.7% | 15,486 | 📈 |
ASTRA - Attack Surface Tracker & Risk Analyzer
Automated threat intelligence for cybersecurity professionals
Generated automatically by ASTRA • 2025-10-25 07:21:16 UTC • Next update in ~15 minutes