Security Scan Report: collegio-ostetriche.rg.it

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Submitted: Oct 3, 2025, 10:20:43 AMCompleted: Oct 3, 2025, 10:21:15 AMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 5 domains to perform 107 HTTP transactions. The main domain is collegio-ostetriche.rg.it and was registered NaN years ago.

Submitted URL: https://collegio-ostetriche.rg.it/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears legitimate with no phishing or malware indicators.

Safety Factors
Long domain registration history
Absence of credential‑harvesting or payment collection forms
No malicious Indicators of Compromise detected
Clear professional organization branding
Domain age information unavailable

Details

Page Title

Home - Ordine della Professione di Ostetrica della Provincia di Ragusa

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(97%)

Screenshot

Security scan screenshot of https://collegio-ostetriche.rg.it/

Page Load Overview

13.89s
Total Load Time
107
HTTP Requests
5
Domains
8.0 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:10,036 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service97% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
97%
real estate property
83%
healthcare medical
79%
blog personal website
72%
documentation technical
68%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113FASTLY
11104.26.12.95United States
AS13335CLOUDFLARENET
1151.210.10.162France
AS16276OVH SAS
11172.67.71.113United States
AS13335CLOUDFLARENET
11104.26.13.95United States
AS13335CLOUDFLARENET
112606:4700:20::681a:d5fUnknownUnknown
112606:4700:20::681a:c5fUnknownUnknown
112a04:4e42:8e::347UnknownUnknown
112606:4700:20::ac43:4771UnknownUnknown
1079--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11BE30AF2B8EA4015026343ACB0E5F738F629B52A97660A74F3FE165C0BD6DC8465B70D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:tywap5QZph0rhDE0mgatnLg3vgL/+Zm24ClhelOtapufDsDzZM3k/b/785tTCnBX:QPjQZph0J94tBb/785tTiB1RKdvbFaJN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:155055:8+A0g8GASJAQhFTCyqASFRC7KCENZ1ABMDyqvVAgxoiEhMQKEAhABuQI3L4gQPaQQoS0jCCAisZBeQKDEZEgISWphLRAJCIA

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:0000fff5f1fbf100
Perceptual Hash:ee1311ed12e699e4
Difference Hash:d6c565ed6547e7b1
Wavelet Hash:0000fff5f3fbf100
Color Hash:#452dd2

Scan History

Scan history not available

Unable to load historical scan data