Security Scan Report: www.unibo.it

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Submitted: Nov 12, 2025, 11:14:19 PMCompleted: Nov 12, 2025, 11:15:02 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 32 HTTP transactions. The main domain is unibo.it and was registered NaN years ago.

Submitted URL: https://www.unibo.it/sitoweb/raya.muttarak/en

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university page with no security concerns

Safety Factors
Well-established domain with minimal risk
No sensitive data collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Raya Muttarak — University of Bologna — Home Page

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(78%)

Domain Information

You're looking at domain 'www.unibo.it' on the Italian country-code top-level domain (.it), featuring subdomain 'www'. The core label 'unibo' covers 5 characters containing three vowels alongside two consonants. Breaking it apart gives two words: uni, bo. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.unibo.it/sitoweb/raya.muttarak/en

Page Load Overview

6.92s
Total Load Time
32
HTTP Requests
2
Domains
1.2 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
Text Length:2,971 chars
Detector Agreement:75%

Website Classification

Primary Category

technology software78% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
78%
documentation technical
36%
social media network
29%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16137.204.24.208Cesena, Emilia-Romagna, Italy
AS137Consortium GARR
16137.204.24.200Cesena, Emilia-Romagna, Italy
AS137Consortium GARR
322--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12753A6317DAA160EF56362AC2661778E6A384013D995DC0C7ACC62744FC9E834EE774F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:zKCOBruuWvyWe/TjVOGwaJ7Yz4dJ+A5qeHCJ2cbcEYMcI6DEdiU:zCuuFthd4ABiJ2cmMcI6DEdiU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:62292:kwJJO4QINRYFAhMgmoXTAccM8A2bAEpjSQIGIBK0DgBGcGJEDsQBbQDvJQIEQWDI83CwAkUOGGYBkl8Ik2gsSEQmUD1DJyeO

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:1f9e3e7e780087ff
Perceptual Hash:9f1f3e39c1b16121
Difference Hash:ba607090d1323e29
Wavelet Hash:0f1e3e5e580083ff
Color Hash:#bf4095

Other Hashes

Crop Resistant:ba607090d1323e29

Scan History

Scan history not available

Unable to load historical scan data