Security Scan Report: universitaagrariasipicciano.it

Submitted: Nov 15, 2025, 3:40:30 AMCompleted: Nov 15, 2025, 3:42:09 AMpubliccompleted
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Summary

This website contacted 1 IP in 0 countries across 1 domain to perform 14 HTTP transactions. The main domain is universitaagrariasipicciano.it and was registered NaN years ago.

Submitted URL: https://universitaagrariasipicciano.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears legitimate.

Safety Factors
Well‑established domain (>13 years)
No malicious Indicators of Compromise
No credential or payment collection fields
No external links or redirects
Domain age information unavailable

Details

Page Title

Università  Agraria di Sipicciano

Scan Type

public

Language

🇮🇹

Italian

(53% confidence)

Category

real estate property

(54%)

Domain Information

The domain 'universitaagrariasipicciano.it' uses the Italian country-code top-level domain (.it). Its registrable label 'universitaagrariasipicciano' stretches across 27 characters containing 14 vowels alongside 13 consonants. Segmentation suggests 8 words: universit, a, agr, arias, i, pic, cia, no. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://universitaagrariasipicciano.it/

Page Load Overview

50.36s
Total Load Time
14
HTTP Requests
1
Domains
30 KB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Language Code:it
Detection Confidence:53%
Script Type:Latin
Text Length:912 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property54% confidence
Type: static
Method: ml+structural

All Detected Categories

real estate property
54%
government public service
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1489.188.130.81UnknownUnknown
141--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1603297672B8D592F9243639BF411374AAF2F85BF41811ED4B15F33C6BBC0FA09629215

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:v1oNsrFkIdGTMwz0C+DNZTPotKFFYjcjtRKEn28B7d8:i0wTJz0C+DDPotKFFYjcjtREg7d8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11663:egAF4iFAUYDQmoIt6kDTAA7ILsggCCoyRAqhCZBaAEKgVQt2AAzToAWQQBggQyheaBGAN4AVAfMiFITDgKICIDE1ANQFBgEc

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:0000ffffffffffff
Perceptual Hash:ed6d6d4f32321292
Difference Hash:9692281e00000026
Wavelet Hash:00008283ffffff82
Color Hash:#3a5c78

Other Hashes

Scan History

Scan history not available

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