Summary
This website contacted 8 IPs in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is en-web3-exods.github.io.
Submitted URL: https://en-web3-exods.github.io/en-us/
AI Security Verdict
Safe Website
Confidence: 85%
The site displays a normal GitHub Pages 404 page with no malicious indicators.
Safety Factors
Details
Primary Scan Blocked — Fallback Capture Shown
The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.
Page Title
Site not found · GitHub Pages
Scan Type
public
Language
English
Category
other
(50%)Domain Information
The domain name 'en-web3-exods.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'en-web3-exods'. The second-level label 'github' is 6 characters long holding two vowels versus 4 consonants. Breaking it apart gives 3 words: g, it, hub. Average segment length settles at two characters. 'g' is most common in English usage. Secondary signals appear in Chinese (Pinyin) and Chinese (Zhuyin).
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 |
|---|---|---|---|
| 1 | 185.199.109.153 | San Francisco, California, United States | AS54113FASTLY |
| 0 | 185.199.108.153 | United States | AS54113FASTLY |
| 0 | 2606:50c0:8000::153 | United States | AS54113FASTLY |
| 0 | 185.199.110.153 | United States | AS54113FASTLY |
| 0 | 2606:50c0:8002::153 | United States | AS54113FASTLY |
| 0 | 2606:50c0:8003::153 | United States | AS54113FASTLY |
| 0 | 2606:50c0:8001::153 | United States | AS54113FASTLY |
| 0 | 185.199.111.153 | United States | AS54113FASTLY |
| 1 | 8 | - | - |
Detected Technologies2
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
Unable to load historical scan data