Security Scan Report: odg.mi.it

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Submitted: Jan 1, 2026, 8:05:55 PMCompleted: Jan 1, 2026, 8:10:08 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 54 HTTP transactions. The main domain is odg.mi.it and was registered NaN years ago.

Submitted URL: https://odg.mi.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no observable security threats.

Safety Factors
Long‑standing domain registration
Absence of credential or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Ordine dei Giornalisti Lombardia

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

corporate

(35%)

Domain Information

Within the Italian country-code top-level domain (.mi.it), 'odg.mi.it' is registered with no subdomain. The core label 'odg' covers 3 characters holding 1 vowel versus 2 consonants. Splitting it apart reveals 2 words: od, g. Expect 1.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://odg.mi.it/

Page Load Overview

250.97s
Total Load Time
54
HTTP Requests
0
Domains
N/A
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:10,502 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate
35%
government public service
34%
news media journalism
27%
news/blog
20%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3949.12.155.58Germany
AS24940Hetzner Online GmbH
1172.217.18.10United States
AS15169GOOGLE
02--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T179D3D6B2968F113E677B67D86294370CB593900BDE8585E1B3F4C38DC29DFE11A67288

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:n4wi4eIzF0cwypqrg30LokG5tfA7pNDdoDevJ2DBEheIkVvDlobYEeQKVw6H4Q:xxPIHbQNV7lobYEeQK53

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:133754:JFFkAFGLotpGxYNoRkQAEUAsAC1IUAskkhWoqBSomQFJAkoHQCV2aBsIBwYJpAJpVAIMIEBhk0kiyACkFsVQjEiD2YwFBCOA

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:ff01003c7cc1ffcf
Perceptual Hash:8a4e3dd69386391b
Difference Hash:358383c5d80b1d1f
Wavelet Hash:ff00003c3cffc783
Color Hash:#40b7bf

Scan History

Scan history not available

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