Security Scan Report: www.cur-rovigo.it

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Submitted: Dec 30, 2025, 3:08:28 PMCompleted: Dec 30, 2025, 3:09:57 PMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 6 domains to perform 46 HTTP transactions. The main domain is cur-rovigo.it and was registered NaN years ago.

Submitted URL: https://www.cur-rovigo.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well-established domain (>5 years)
No malicious Indicators of Compromise
No credential or payment forms
No external links or redirects
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by forbidden bot protection. Our scanner was challenged or blocked during access.

Page Title

CUR / Consorzio Università Rovigo

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(42%)

Domain Information

You're looking at domain 'www.cur-rovigo.it' on the Italian country-code top-level domain (.it); it also runs on subdomain 'www'. The second-level label 'cur-rovigo' is 10 characters long split between 4 vowels and five consonants, along with one hyphen. Tokenizing the label suggests two words: cur, rovigo. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.cur-rovigo.it/

Page Load Overview

0.78s
Total Load Time
5
HTTP Requests
3
Domains
86 KB
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:105 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content42% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
42%
documentation technical
37%
news media journalism
33%
blog personal website
30%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
579.127.204.113Netherlands
0185.111.111.157Netherlands
0142.251.208.10Netherlands
035.214.237.208Groningen, Groningen, Netherlands
AS15169GOOGLE
0185.111.111.155Netherlands
0142.251.140.174Netherlands
56--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A214FA32FB803036219B97D86471BBBCE56F90C4C3424EB8B198D3917BC9B96791F652

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jeBypBwg5ePrhMnOI9SE5IuOQhWaQ4ZTpcfub0nK7EmWM2TafQ54/SZgslFK+g5z:je8zChM1guOI5ZT4KYhM1bi/XL+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:191096:RikJtoQGo1KQECAEwKouBhRcQKgoSSWkEMIJCIGA0JwiABEYBkCdhHBwYBCVnILiZCvUYcSK2Q0CEiwIDUCloGBsCIBRXQw4

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:0000000000ffffff
Perceptual Hash:dd029add22b2fd22
Difference Hash:11310a4d32320022
Wavelet Hash:081808009affffff
Color Hash:#aca953

Other Hashes

Crop Resistant:11310a4d32320022

Scan History

Scan history not available

Unable to load historical scan data