Security Scan Report: www.geometri.ss.it

Submitted: Jan 16, 2026, 10:48:33 AMCompleted: Jan 16, 2026, 10:49:47 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 41 HTTP transactions. The main domain is geometri.ss.it and was registered NaN years ago.

Submitted URL: https://www.geometri.ss.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site of a long‑standing professional body; no security concerns detected.

Safety Factors
Well‑established domain with long registration history
No malicious Indicators of Compromise detected
Official regional professional organization website
Domain age information unavailable

Details

Page Title

Collegio dei Geometri e dei Geometri laureati della Provincia Sassari

Scan Type

public

Language

🇮🇹

Italian

(39% confidence)

Category

documentation technical

(99%)

Domain Information

The domain name 'www.geometri.ss.it' uses the Italian country-code top-level domain (.ss.it) and includes subdomain 'www'. The second-level label 'geometri' is 8 characters long holding four vowels versus 4 consonants. It segments into 3 words: geo, me, tri. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.geometri.ss.it/

Page Load Overview

6.88s
Total Load Time
39
HTTP Requests
1
Domains
1.9 MB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:39%
Script:Latin
Direction:ltr

Detection Details

Language Code:it
Detection Confidence:39%
Script Type:Latin
HTML Lang Attribute:en
Text Length:1,249 chars
Detector Agreement:80%
Language mismatch: Declared as en but detected as it

Website Classification

Primary Category

documentation technical99% confidence
Type: webapp
Method: ml+structural

All Detected Categories

documentation technical
99%
technology software
90%
government public service
74%
education learning
59%
blog personal website
51%

Detected Features

Login Form
Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3962.3.5.26St Louis, Missouri, United States
AS7393CYBERCON
391--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11DD35F30B5B144A9402FB2C6E1684758237BE3179B060BF9F2AD11B6D7CDEB929173D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:fucv4X6GMNGK1AOxqG0eRAVwJ6FX9VVH+auwJfzZbvG7Mp:Rn1AOxqG0eK6J6FXbBrzZbvG7Mp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:142417:hAQAVaoAYBgtMEco4OGEFdOgAEAUAEGBmGDCUCocoMCmAG/ACf0wHQieRgEQhAuARWnKAQoCDQwRAK4HAcAwWCCGcADSAQvk

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:ff00113df9010000
Perceptual Hash:c8d6b0e9d692ee90
Difference Hash:b59763e3d3d3d191
Wavelet Hash:ff01317ff9f90100
Color Hash:#2d8647

Scan History

Scan history not available

Unable to load historical scan data