Summary
This website contacted 33 IPs in 2 countries across 10 domains to perform 189 HTTP transactions. The main domain is villageofangola.org and was registered NaN years ago.
Submitted URL: https://www.villageofangola.org/
AI Security Verdict
Low Risk
Confidence: 85%
Low‑risk site built on Wix; no malicious activity detected.
Risk Factors
Safety Factors
Details
Page Title
Home | Village of Angola
Scan Type
public
Language
English
Domain Information
Domain 'www.villageofangola.org' uses the non-profit oriented generic top-level domain (.org) and includes subdomain 'www'. Its registrable label 'villageofangola' stretches across 15 characters containing 7 vowels alongside eight consonants. Breaking it apart gives 3 words: village, of, angola. Expect six characters per word on average. 'village' most strongly signals Chinese (Pinyin). Secondary signals appear in English and Dutch.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 29 | 34.49.229.81 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 5 | 151.101.130.217 | San Francisco, California, United States | AS54113FASTLY |
| 5 | 34.149.87.45 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 5 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 99.86.4.79 | United States | AS16509AMAZON-02 |
| 5 | 151.101.194.217 | San Francisco, California, United States | AS54113FASTLY |
| 5 | 99.86.4.105 | United States | AS16509AMAZON-02 |
| 5 | 34.149.206.255 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 5 | 99.86.4.90 | United States | AS16509AMAZON-02 |
| 5 | 54.204.203.119 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 189 | 33 | - | - |
Detected Technologies9
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
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