Summary
This website contacted 5 IPs in 1 country across 5 domains to perform 41 HTTP transactions. The main domain is special-assessment.pages.dev and was registered NaN years ago.
Submitted URL: https://special-assessment.pages.dev/student_behavior_teacher
AI Security Verdict
Low Risk
Confidence: 85%
Low risk site with no credential or payment collection; safe for typical browsing.
Risk Factors
Safety Factors
Details
Page Title
學生行為評量表-教師版 - 計分系統
Scan Type
public
Language
Chinese
Category
education learning
(98%)Domain Information
The domain name 'special-assessment.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'special-assessment'. The second-level label 'pages' is 5 characters long containing 2 vowels alongside 3 consonants. Word splitting yields one word: pages. 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 |
|---|---|---|---|
| 9 | 188.114.97.3 | United States | |
| 9 | 192.178.183.94 | United States | AS15169Google LLC |
| 9 | 142.251.14.95 | United States | AS15169Google LLC |
| 9 | 104.26.2.143 | United States | Unknown |
| 9 | 104.18.1.22 | United States | Unknown |
| 45 | 5 | - | - |
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