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Security Scan Report: www.iodonna.it

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Submitted: Jun 23, 2026, 3:48:39 AMCompleted: Jun 23, 2026, 3:50:26 AMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 2 HTTP transactions. The main domain is iodonna.it and was registered NaN years ago.

Submitted URL: https://www.iodonna.it/video-iodonna/personaggi-video/chi-e-la-manager-in-converse-che-puo-diventare-first-lady-inglese/

The Cisco Umbrella rank of the primary domain is #646,121 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate news/article site with no malicious indicators detected.

Safety Factors
Well‑established domain (27 years old)
Self‑branding, not impersonating another brand
No suspicious IDS alerts affecting phishing or malware detection
No external link IoCs or malicious external domains
Domain age information unavailable

Details

Page Title

Marie-France van Heel, futura First Lady inglese | Video iO Donna

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

documentation technical

(52%)

Domain Information

The domain name 'www.iodonna.it' uses the Italian country-code top-level domain (.it); it also runs on subdomain 'www'. Count 7 characters in 'iodonna' containing four vowels alongside 3 consonants. Splitting it apart reveals two words: io, donna. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.iodonna.it/video-iodonna/personaggi-video/chi-e-la-manager-in-converse-che-puo-diventare-first-lady-inglese/

Page Load Overview

12.09s
Total Load Time
110
HTTP Requests
24
Domains
2.1 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:12,710 chars
Detector Agreement:80%

Website Classification

Primary Category

documentation technical52% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
52%
news/blog
50%
technology software
36%
corporate
35%
forum
20%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.171.214.84United States
AS16509Amazon.com, Inc.
12157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
12142.251.20.154United States
AS15169Google LLC
12142.251.20.138United States
AS15169Google LLC
12146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1218.66.112.92United States
AS16509Amazon.com, Inc.
1265.8.131.92United States
AS16509Amazon.com, Inc.
12142.251.127.95United States
AS15169Google LLC
12146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1109--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17E44C7B65BAA3139516752DC5FB4E30CE33B8033CA459C967BEF924C8FCE6D404A2649

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:6hiuRmMdh+tAn9ZszB1s3tELQpaph/cz7gZoEEVeiBTBktwEP8PLQvcWxUOrg6EB:6hiuzdh+tAn9ZszB1s3tELQpaph/cz7L

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:274697:bAQQtSgFYgDwBaGOAJwiWFVOWhooDoEIkiB0ACgkBoGhCECdFWc/IYgHwXDFkYTIhCSEwKBeU9gIIGYBDEQQ4INGHQE4RLCq

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:003c3c3c3c3c3c00
Perceptual Hash:da49616961cd359e
Difference Hash:0361696969696969
Wavelet Hash:003cbcff3c3c3c04
Color Hash:#c587b0

Other Hashes

Crop Resistant:e8e292a283aea98e,0361696969696969

Scan History

Scan history not available

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