Summary
This website contacted 33 IPs in 2 countries across 10 domains to perform 175 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%
Site appears legitimate but contains a link to a flagged domain, warranting caution.
Risk Factors
Safety Factors
Details
Page Title
Home | Village of Angola
Scan Type
public
Language
English
Category
government public service
(65%)Domain Information
The domain 'www.villageofangola.org' uses the non-profit oriented generic top-level domain (.org) and includes subdomain 'www'. The second-level label 'villageofangola' is 15 characters long containing 7 vowels alongside 8 consonants. Breaking it apart gives 3 words: village, of, angola. Median word length is six characters. Most frequently, 'village' shows up in Chinese (Pinyin). It also appears in English and Dutch contexts. Overall, 'www.villageofangola.org' reads as Chinese (Pinyin).
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 15 | 34.49.229.81 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 5 | 54.221.236.172 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 151.101.66.217 | San Francisco, California, United States | AS54113FASTLY |
| 5 | 3.167.227.32 | United States | AS16509AMAZON-02 |
| 5 | 3.167.227.129 | United States | AS16509AMAZON-02 |
| 5 | 34.236.210.139 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 44.208.190.36 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 3.167.227.108 | United States | AS16509AMAZON-02 |
| 5 | 3.167.227.123 | United States | AS16509AMAZON-02 |
| 5 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 175 | 33 | - | - |
Detected Technologies8
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
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