Security Scan Report: www.unicam.it

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Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 5 domains to perform 75 HTTP transactions. The main domain is unicam.it and was registered 30 years ago.

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

The Cisco Umbrella rank of the primary domain is #484,857 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 94%

0
Risk Score

The site is a legitimate university website with no phishing, malware, or scam indicators.

Safety Factors (4)
Well‑established domain with long registration history
Self‑branding aligns with domain (no impersonation)
Absence of credential collection or payment fields
No malicious JavaScript or network indicators
Domain age information unavailable

Details

Page Title

Università di Camerino | Benvenuti sulla home page di Unicam

Scan Type

public

Domain Name Analysis

Domain 'www.unicam.it' uses the Italian country-code top-level domain (.it), featuring subdomain 'www'. The registrable portion 'unicam' spans 6 characters containing 3 vowels alongside three consonants. Splitting it apart reveals two words: uni, cam. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

3.72s
Total Load Time
3.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:it
Text Length:7,606 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning90% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
90%
government public service
86%
healthcare medical
84%
cryptocurrency blockchain
71%
technology software
71%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7594.177.192.139Arezzo, Tuscany, Italy
AS31034Aruba S.p.A.
751--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D274B6E25993200529178698D7E6BB5C6B288003CE4FD4EAB2DE524DCFCEDCC4963B5D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Nlc4SUdH6lxJEnIwj0FlToTuyZ1Sxt0QXsyj/I73+aNWBDlE2o8PrwLS8DdfPH5P:7z6DJEHPEfXOaVUsW9heurd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:337515:IgBQ00C5FgQSxDIgBSvCpcmABRCSiYQACLIDVoLHSQBA6E4AIgBKCgAyRgJHUgwESy1AQw5QLEUA4CaBcCkMNagsQB53CEmT

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:3c1c0404033f0f0f
Color Hash:#4d783a

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data