Security Scan Report: universitaagrariasipicciano.it

Submitted: Jan 6, 2026, 5:23:26 AMCompleted: Jan 6, 2026, 5:26:04 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country 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 appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
Unranked status consistent with niche academic site
No suspicious forms or content
Domain age information unavailable

Details

Page Title

Università  Agraria di Sipicciano

Scan Type

public

Language

🇮🇹

Italian

(53% confidence)

Category

real estate property

(53%)

Domain Information

Within the Italian country-code top-level domain (.it), 'universitaagrariasipicciano.it' is registered and has no subdomain. 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. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

90.10s
Total Load Time
13
HTTP Requests
1
Domains
5 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 property53% confidence
Type: static
Method: ml+structural

All Detected Categories

real estate property
53%
government public service
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1389.188.130.81Italy
AS39887Televideocom Srl
131--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18A3297672B8D5A2F9243639BF411374AAF2F85BF41811ED4B15F33C6BBC0FA09629215

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:dMoNsrFkIdGTMwz0C+DNZTPotKFFYjcjtRKEn28B7dP:T0wTJz0C+DDPotKFFYjcjtREg7dP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11784:6BdkkAGAFQQjAOgGQADRBgSYCYAAACDkMWUWwDJGJBIEUeABZrWAeTAyEgCGBzCmBQEGAJgUgtIvzCBiQAkGRgHQLYARABUK

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data