Security Scan Report: www.giardinocapracotta.unimol.it

Redirected to: https://www.giardinocapracotta.unimol.it/en/home-2/

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Submitted: Jan 9, 2026, 8:49:14 PMCompleted: Jan 9, 2026, 8:50:54 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 61 HTTP transactions. The main domain is giardinocapracotta.unimol.it and was registered NaN years ago.

Submitted URL: https://www.giardinocapracotta.unimol.it/

Effective URL: https://www.giardinocapracotta.unimol.it/en/home-2/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university site with no security concerns.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No credential or payment collection forms
Official university subdomain
Domain age information unavailable

Details

Page Title

GFA – Giardino della Flora Appenninica

Scan Type

public

Language

🇮🇹

Italian

(37% confidence)

Category

unknown

(0%)

Domain Information

The domain 'www.giardinocapracotta.unimol.it' uses the Italian country-code top-level domain (.it) and includes subdomain 'www.giardinocapracotta'. The core label 'unimol' covers 6 characters containing three vowels alongside three consonants. Segmentation suggests 2 words: uni, mol. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.giardinocapracotta.unimol.it/

Page Load Overview

23.41s
Total Load Time
103
HTTP Requests
4
Domains
7.1 MB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:37%
Script:Latin
Direction:ltr

Detection Details

Language Code:it
Detection Confidence:37%
Script Type:Latin
HTML Lang Attribute:en-GB
Text Length:2,725 chars
Detector Agreement:75%
Language mismatch: Declared as en but detected as it

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
103129.152.11.176Siziano, Lombardy, Italy
AS31898ORACLE-BMC-31898
1031--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15FC3A429B467082E221F629FA05B774CAE56C6C3C251A3F9F0F1416895B8EE9377734C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:RLA7xW71itCuxlMC6BDkQMk/UDLOrE+NlPESa04wFPbKn+o8S8OfPx6lc:RC65R+7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:120481:YyggDmpoNggCgS0sYAJMQDkAQUAEViQ0CYkDtJMqUcxpHBAgbFOYE1LAEhMGSAYJaCgcFSxkDcRgwBS0kEwQAMDCWOBAigB4

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:3b2f1c0c1f7f0e00
Perceptual Hash:998b67872a74cd1a
Difference Hash:6353503278f2bcdc
Wavelet Hash:3f2f1e0c1f7f0e00
Color Hash:#9987c5

Scan History

Scan history not available

Unable to load historical scan data