Summary
This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is bvh.univ-tours.fr and was registered NaN years ago.
Submitted URL: https://www.bvh.univ-tours.fr
The Cisco Umbrella rank of the primary domain is #295,404 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate university site with no apparent security concerns.
Safety Factors
Details
Page Title
Les Bibliothèques Virtuelles Humanistes - Accueil
Scan Type
public
Language
French
Category
unknown
(0%)Domain Information
Domain 'www.bvh.univ-tours.fr' uses the French country-code top-level domain (.fr), featuring subdomain 'www.bvh'. The second-level label 'univ-tours' is 10 characters long containing four vowels alongside 5 consonants, notching one hyphen. Splitting it apart reveals three words: un, iv, tours. Expect 2 characters per word on average. 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 |
|---|---|---|---|
| 61 | 172.217.18.8 | United States | AS15169GOOGLE |
| 60 | 193.52.209.8 | Tours, Centre-Val de Loire, France | AS2200Renater |
| 121 | 2 | - | - |
Detected Technologies3
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
Scan history not available
Unable to load historical scan data