Summary
This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is curiosity-ai.github.io and was registered NaN years ago.
Submitted URL: https://curiosity-ai.github.io/curiosity-ai-website/wordle/
The Cisco Umbrella rank of the primary domain is #621,173 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 85%
The site shows no malicious signals, contains no credential or payment forms, and appears to be a legitimate educational tool hosted on GitHub Pages.
Risk Factors
Safety Factors
Details
Page Title
Wordle Solver
Scan Type
public
Language
English
Category
education learning
(51%)Domain Information
The domain 'curiosity-ai.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'curiosity-ai'. The second-level label 'github' is 6 characters long split between 2 vowels and four consonants. Segmentation suggests 3 words: g, it, hub. Median word length is two characters. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 13 | 185.199.108.153 | United States | AS54113Fastly, Inc. |
| 13 | 1 | - | - |
Detected Technologies5
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