Security Scan Report: www.uniroma3.it

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Submitted: Nov 22, 2025, 2:37:20 AMCompleted: Nov 22, 2025, 2:38:29 AMpubliccompleted
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Summary

This website contacted 29 IPs in 4 countries across 10 domains to perform 139 HTTP transactions. The main domain is uniroma3.it and was registered NaN years ago.

Submitted URL: https://www.uniroma3.it/

The Cisco Umbrella rank of the primary domain is #521,948 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
Low risk category from domain age analysis
No phishing or malware indicators
Domain age information unavailable

Details

Page Title

Homepage - Università Roma Tre

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(94%)

Domain Information

Within the Italian country-code top-level domain (.it), 'www.uniroma3.it' is registered; it also runs on subdomain 'www'. The registrable portion 'uniroma3' spans 8 characters containing 4 vowels alongside 3 consonants, along with 1 digit. Breaking it apart gives three words: uni, roma, 3. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.uniroma3.it/

Page Load Overview

1.29s
Total Load Time
139
HTTP Requests
10
Domains
4.4 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-IT
Text Length:17,919 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service94% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
94%
education learning
82%
healthcare medical
40%
corporate
25%
news/blog
20%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
83193.205.143.192Ancona, The Marches, Italy
AS137Consortium GARR
12193.204.164.33Rome, Lazio, Italy
AS137Consortium GARR
4185.111.111.154Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
4142.250.184.228United States
AS15169GOOGLE
437.27.44.59Helsinki, Uusimaa, Finland
AS24940Hetzner Online GmbH
4142.250.184.195United States
AS15169GOOGLE
43.174.46.35United States
AS16509AMAZON-02
42600:9000:28eb:3400:12:d211:7280:93a1United States
AS16509AMAZON-02
42600:9000:28eb:f000:12:d211:7280:93a1United States
AS16509AMAZON-02
42600:9000:28eb:4200:12:d211:7280:93a1United States
AS16509AMAZON-02
13929--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D81476F7489D743A412B76C4F064EA18A1E7950DCF5A1490E7FC839EC7CAF6029E2B19

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:tNteQqr60gLzjh0/oZQZ8XmuPuUGVWggbN:tjeQquDLzjh0QeZ8XmuPuUGVWggbN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:198461:AxGLhvAoCGQJDwBAcRIHEMFoBkNziDsFFUAYUQtXbEe4aoApYAQyMM1JkGAAPTQsboaAAQAgAAYjVkxBQERIEgRkiGYkBkDA

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:ff0f000000ffffff
Perceptual Hash:b811e4f34aec4733
Difference Hash:23327033b93b2b23
Wavelet Hash:1b0f000000ffffff
Color Hash:#c6d279

Scan History

Scan history not available

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