Security Scan Report: www.unict.it

Submitted: Oct 13, 2025, 8:54:22 PMCompleted: Oct 13, 2025, 8:54:54 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 44 HTTP transactions. The main domain is unict.it and was registered NaN years ago.

Submitted URL: https://www.unict.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university site with no security concerns.

Safety Factors
Well‑established university domain
No malicious Indicators of Compromise
No credential or payment collection
Official university branding matches domain
Domain age information unavailable

Details

Page Title

Università di Catania

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(57%)

Domain Information

Domain 'www.unict.it' uses the Italian country-code top-level domain (.it), featuring subdomain 'www'. Its registrable label 'unict' stretches across 5 characters holding 2 vowels versus three consonants. It segments into two words: un, ict. Median word length comes out to 2.5 characters. 'un' most strongly signals Latvian. Secondary signals appear in Italian and Galician. Overall, 'www.unict.it' reads as Latvian.

Screenshot

Security scan screenshot of https://www.unict.it/

Page Load Overview

12.64s
Total Load Time
44
HTTP Requests
1
Domains
2.4 MB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:it
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:it
Text Length:7,979 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service57% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
57%
education learning
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22151.97.240.4Aci Castello, Sicily, Italy
AS137Consortium GARR
222001:760:4804:400::4Soave, Veneto, Italy
AS137Consortium GARR
442--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14183A53291A0247F035385ECB1357B5EF993959EEE571951F3FD83A84BCEE80892224E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7OQuXkcsBoZGyH38P95vD1Q0cux47xuOo7jLDmO+uWnm/IiX+Izk37Nn6c:6QuXwB03Qb7XDmOP/IiX+Izk316c

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:82128:8CxijBCJQBFQQouBGIZhIILKZgcAwwzQYBnBFpxkgBEQ0whVSAYGsjJMU1FkAEDDAT2QeAFWQeNZhAgjAIFgoSAWBzAMwQIE

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:0000ff9fdfffc3fb
Perceptual Hash:bc4365131fb4c7b0
Difference Hash:dcc9253e3a373f33
Wavelet Hash:0000ff8f8fff8391
Color Hash:#87abc5

Scan History

Scan history not available

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