Summary
This website contacted 2 IPs in 1 country across 2 domains to perform 62 HTTP transactions. The main domain is ordinegrosseto.conaf.it and was registered NaN years ago.
Submitted URL: http://ordinegrosseto.conaf.it/
Effective URL: https://ordinegrosseto.conaf.it/Redirected
AI Security Verdict
Low Risk
Confidence: 80%
Site appears legitimate but the password‑only form is a mild credential‑harvesting concern.
Risk Factors
Safety Factors
Details
Page Title
Ordine dei Dottori Agronomi e dei Dottori Forestali della Provincia di Grosseto
Scan Type
public
Language
Italian
Category
government public service
(51%)Domain Information
The domain 'ordinegrosseto.conaf.it' uses the Italian country-code top-level domain (.it), featuring subdomain 'ordinegrosseto'. The second-level label 'conaf' is 5 characters long containing 2 vowels alongside 3 consonants. Word splitting yields two words: co, naf. Average segment length settles at 2.5 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 |
|---|---|---|---|
| 45 | 178.32.142.143 | France | AS16276OVH SAS |
| 31 | 142.250.185.132 | Unknown | Unknown |
| 0 | 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