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Security Scan Report: www.giardinocapracotta.unimol.it

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

Submitted: Nov 21, 2025, 11:56:12 AMCompleted: Nov 21, 2025, 11:58:45 AMpubliccompleted
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Summary

This website contacted 7 IPs in 4 countries across 4 domains to perform 103 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 site with no security concerns.

Safety Factors
Well‑established academic domain
No malicious Indicators of Compromise matches
No forms collecting sensitive data
No phishing or malware indicators
Domain age information unavailable

Details

Page Title

GFA – Giardino della Flora Appenninica

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'www.giardinocapracotta.unimol.it' uses the Italian country-code top-level domain (.it), featuring subdomain 'www.giardinocapracotta'. Its registrable label 'unimol' stretches across 6 characters holding 3 vowels versus three consonants. Word splitting yields 2 words: uni, mol. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.94s
Total Load Time
103
HTTP Requests
4
Domains
7.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-GB
Text Length:2,950 chars
Detector Agreement:75%

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
98129.152.11.176Siziano, Lombardy, Italy
AS31898ORACLE-BMC-31898
1434.249.50.109Dublin, Leinster, Ireland
AS16509AMAZON-02
142a0b:4d07:101::1Switzerland
AS44239proinity GmbH
1434.249.98.196Dublin, Leinster, Ireland
AS16509AMAZON-02
3185.172.148.128Germany
AS44239proinity GmbH
118.202.95.169Dublin, Leinster, Ireland
AS16509AMAZON-02
13.255.47.210Dublin, Leinster, Ireland
AS16509AMAZON-02
1037--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D3D3A4257867083E211F729FA05BB75CEA9686C3C241A2F5E1F14168D5B8EE9377338C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:AqS7xW71itCQxS6C5kke05cpyhurEdqSiKA5EwFPeKnAR6o8O/aRg:GCiFw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:133910:KBZVAAUBAGSCMhC2IIiJCRRINCCqwMQRg0CBUVkEJXeVw4JsUDpKEuEgNLEDIcgYIUiiQcQVEnEk6gAaAojIBGUwRM+QswMo

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:3b3f1c0c1f7f0e00
Perceptual Hash:998b67872a74cd1a
Difference Hash:6353503278f2bcdc
Wavelet Hash:3f2f1e0c1f7f0e00
Color Hash:#784a3a

Other Hashes

Crop Resistant:51919839f184a1a3,71d098999a983514,6353503278f2bcdc

Scan History

Scan history not available

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