Security Scan Report: www.cup.ap.it

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Submitted: Jan 8, 2026, 8:46:35 AMCompleted: Jan 8, 2026, 8:47:59 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 2 domains to perform 120 HTTP transactions. The main domain is cup.ap.it and was registered NaN years ago.

Submitted URL: https://www.cup.ap.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears to be a legitimate university consortium.

Safety Factors
Established domain registration date (2004‑06‑14)
Absence of credential‑harvesting or payment collection forms
No malicious Indicators of Compromise
Content appears to be legitimate institutional information
Domain age information unavailable

Details

Page Title

Consorzio Universitario Piceno

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

entertainment media

(80%)

Domain Information

The domain name 'www.cup.ap.it' uses the Italian country-code top-level domain (.ap.it); it also runs on subdomain 'www'. The registrable portion 'cup' spans 3 characters split between 1 vowel and 2 consonants. Breaking it apart gives 1 word: cup. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.cup.ap.it/

Page Load Overview

6.48s
Total Load Time
117
HTTP Requests
2
Domains
5.2 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:7,881 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media80% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
80%
government public service
40%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3935.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
39104.21.36.218United States
AS13335CLOUDFLARENET
3935.152.40.99Milan, Lombardy, Italy
AS16509AMAZON-02
1173--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A7B3C6B238CBE936114F56CBB057730CB1D798EBDA8169C0B7BE1168DBE1ED03261649

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:kNXZ7PsDF0mo+Sgyd/xISzirbG5A2zSTXlZd1S4Cla5RwcsNT3R0hYBLfY:kNXZ7PfdSSzJ+Xoa5RwdN7R0hYhY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:111100:AHC+SATi6EgSOFDIaL1AglI6Zcn0lCQh0MQBREABWLHBighhdCB1EQMzCJIYgAQQjeEJABMaZCAgWpEIxEETRPQgtNFmiQQH

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:00000018003dffdf
Perceptual Hash:bc43bc464d9e433c
Difference Hash:c5c5316131c93333
Wavelet Hash:0000003c19ffffff
Color Hash:#902dd2

Scan History

Scan history not available

Unable to load historical scan data