Security Scan Report: www.cup.ap.it

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Submitted: May 30, 2026, 12:05:31 AMCompleted: May 30, 2026, 12:06:44 AMpubliccompleted
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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 cup.ap.it and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site appears legitimate: long‑standing domain, no phishing forms, no malware indicators, and content is purely informational.

Safety Factors
Well‑established domain age
Absence of credential‑collection forms
No malicious IoC or YARA detections
Article content (og:type="article") indicates informational page
No external malicious links or redirects
Domain age information unavailable

Details

Page Title

Consorzio Universitario Piceno

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

education learning

(59%)

Domain Information

The domain name 'www.cup.ap.it' uses the Italian country-code top-level domain (.ap.it), featuring subdomain 'www'. The registrable portion 'cup' spans 3 characters split between 1 vowel and 2 consonants. Tokenizing the label suggests one word: cup. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

4.94s
Total Load Time
119
HTTP Requests
2
Domains
4.9 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:7,869 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning59% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
59%
documentation technical
31%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
119104.21.36.218United States
AS13335Cloudflare, Inc.
1191--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10CB3D5B239CBA837114F56CB6057730C72D798EBDB8159D0B7BE1228DBE1EE03261649

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:guhxHdhdS3zbz6rZVGvBq9sL9KhIqjqbs:1Q3zbz6t

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:115750:GnUXjBspAgFwchBtIEIlpGARQMiEeg4IYgGLRBSZGCFWAXgINFIDwUzBhgQJseJSBICGEoJQFDboDhEkQAAD6eAiWkCCSmiT

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:000000180000ffff
Perceptual Hash:8c53ac534c9f713c
Difference Hash:c5c5316131d92636
Wavelet Hash:0000003c19ffffff
Color Hash:#1f6793

Scan History

Scan history not available

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