Security Scan Report: opicuneo.org

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Submitted: Jan 8, 2026, 6:50:56 PMCompleted: Jan 8, 2026, 6:52:21 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 103 HTTP transactions. The main domain is opicuneo.org and was registered NaN years ago.

Submitted URL: https://opicuneo.org/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears legitimate and poses no evident security threats.

Safety Factors
Established domain age
Absence of credential‑harvesting or payment forms
No known malicious Indicators of Compromise
Clear professional/administrative purpose
Domain age information unavailable

Details

Page Title

OPI Cuneo – Ordine delle professioni infermieristiche di Cuneo

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

social media network

(26%)

Domain Information

You're looking at domain 'opicuneo.org' on the non-profit oriented generic top-level domain (.org) with no subdomain. The core label 'opicuneo' covers 8 characters containing 5 vowels alongside three consonants. Word splitting yields two words: opi, cuneo. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://opicuneo.org/

Page Load Overview

14.27s
Total Load Time
95
HTTP Requests
2
Domains
569 KB
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:7,448 chars
Detector Agreement:75%

Website Classification

Primary Category

social media network26% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
26%
news/blog
20%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4880.88.87.50Arezzo, Tuscany, Italy
AS31034Aruba S.p.A.
47151.101.66.137United States
AS54113FASTLY
952--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BAE3B6A17C9D283A125F758F900B670C62D799A9DF022EE4B3F6912CE771EC036E514A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:jY3b1I04WxZiHZ5DwNd48Q0DXqIuNOAhQseVzV5y539wb:k3b9f/b

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:154774:gFBTCwJjIECEGiSqApUh7oQAgGDUUZEnFRASgG9dQgEwoiUQAkv1ChAEAQgwpSisoIGxAisAAISFjpzExkqAEBVAVAUiwPQk

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:0000383c3c3c00ff
Perceptual Hash:8a703048f56bcf6b
Difference Hash:8cb8717171717127
Wavelet Hash:007e3c3c3c3c18ff
Color Hash:#aebf40

Scan History

Scan history not available

Unable to load historical scan data