Summary
This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is ebooks.edu.gr.
Submitted URL: https://ebooks.edu.gr
Effective URL: https://ebooks.edu.gr/ebooks/Redirected
AI Security Verdict
Low Risk
Confidence: 72%
The site appears to be a legitimate educational library; moderate risk stems from unranked domain and heavily obfuscated JavaScript, but no credential harvesting or malware was detected.
Risk Factors
Safety Factors
Details
Page Title
Διαδραστικά Σχολικά Βιβλία - Αρχική σελίδα
Scan Type
public
Language
EL
Category
education learning
(96%)Domain Information
The domain name 'ebooks.edu.gr' uses the Greek country-code top-level domain (.edu.gr) without a subdomain. The second-level label 'ebooks' is 6 characters long holding 3 vowels versus 3 consonants. Breaking it apart gives two words: e, books. Median word length comes out to three 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 |
|---|---|---|---|
| 37 | 172.217.208.95 | United States | AS15169Google LLC |
| 37 | 83.212.169.77 | Greece | AS5408National Infrastructures for Research and Technology S.A. |
| 74 | 2 | - | - |
Detected Technologies6
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
Scan History
Scan history not available
Unable to load historical scan data