Security Scan Report: ordinegrosseto.conaf.it

Redirected to: https://ordinegrosseto.conaf.it/

Submitted: Dec 29, 2025, 9:47:04 AMCompleted: Dec 29, 2025, 9:48:11 AMpubliccompleted
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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%

2
Risk Score

Site appears legitimate but the password‑only form is a mild credential‑harvesting concern.

Risk Factors
Password field without accompanying username field
Safety Factors
Domain registered since 2005 (minimal risk based on age)
Official‑sounding organization (Ordine dei Dottori Agronomi e dei Dottori Forestali)
No payment or personal data collection beyond password
Domain age information unavailable

Details

Page Title

Ordine dei Dottori Agronomi e dei Dottori Forestali della Provincia di Grosseto

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

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

Security scan screenshot of http://ordinegrosseto.conaf.it/

Page Load Overview

1.37s
Total Load Time
62
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:it
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:it
Text Length:1,502 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service51% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
51%
documentation technical
25%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
45178.32.142.143France
AS16276OVH SAS
31142.250.185.132UnknownUnknown
02--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1778277209CF66022015684C4B9B4A71B6BA5E32BCF8B1F04F3AD865F1BCBF44ED56716

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ELoL/4zKXa5cgzbJRSZggR9OR9zCpy2EGt5rt8sY9Pdemqp0Jdvdz:n4zKXANzPKggioyWt5x8Len05

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18774:Twzg8AIANLICBNTLBAJCKAQJBpAFogBsQMAUNNICCBBmAaAR+MwVSwg2vA6TJAxQnhLBK2AOgo4Y4uJlAEhuBQzgFwoCjE6o

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

Average Hash:00003c3c3c3c3c3c
Perceptual Hash:9b2169cfce9a8686
Difference Hash:d29e697961697179
Wavelet Hash:3a403c3c3c7c7e3c
Color Hash:#50862d

Scan History

Scan history not available

Unable to load historical scan data