Security Scan Report: www.unive.it

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Submitted: Jun 1, 2026, 2:47:04 PMCompleted: Jun 1, 2026, 2:48:49 PMpubliccompleted
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Summary

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

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

The Cisco Umbrella rank of the primary domain is #251,459 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

Legitimate university website with no malicious indicators detected.

Safety Factors
Domain age well beyond new‑site thresholds
Meta tags match the site’s own brand (Università Ca' Foscari Venezia)
No external malicious links or redirects
No credential exfiltration or suspicious scripts
Domain age information unavailable

Details

Page Title

Home: Università Ca' Foscari Venezia

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'www.unive.it' uses the Italian country-code top-level domain (.it), featuring subdomain 'www'. The second-level label 'unive' is 5 characters long containing three vowels alongside two consonants. Tokenizing the label suggests two words: uni, ve. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

35.51s
Total Load Time
67
HTTP Requests
3
Domains
4.3 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:18,689 chars
Detector Agreement:80%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
67157.138.7.88Venice, Veneto, Italy
AS137Consortium GARR
671--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E3D34220E2EC7937164342F265E07B4DA7AF9977D5621C84B7BF86981FC6F818C4B10A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:HjKO4wSQkhVZSRb2G9tXi/e6bnFxTfBoJHlt:HOBSRb2G9tXiJfS/t

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:141827:CIkiDCvECAYGSUQCAiHQADrCCBAFAAOCikzOCgAB+AHYSACQyExiTsxgGCGwAhSICJ4UKeEeQ+AQRIB0gDcMDZKIBARD5EE4

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:76003c7e7e7c0000
Perceptual Hash:82f47cc782ad8739
Difference Hash:a48cccc0dcc4070d
Wavelet Hash:ff007e7e7e7e0000
Color Hash:#4e2dd2

Scan History

Scan history not available

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