Security Scan Report: www.ildolomiti.it

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Submitted: Oct 3, 2026, 8:26:28 PMCompleted: Oct 3, 2026, 8:27:35 PMpubliccompleted

This website contacted 83 IPs in 9 countries across 51 domains to perform 363 HTTP transactions. The main domain is ildolomiti.it and was registered 17 years ago.

Submitted URL: https://www.ildolomiti.it/sport/2026/marvin-vettori-torna-nellottagono-stanotte-la-sfida-con-ismail-naurdiev-per-cercare-la-svolta

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Established Italian news site (ildolomiti.it, 10 years old) serving a sports article about Marvin Vettori's UFC fight. No forms, no impersonation, no threat-intel or malware signals — legitimate.

Safety Factors (5)
Ten-year-old established domain
News article content (ML classifier: news media journalism 83%)
No credential or payment forms present
Cross-origin requests are normal analytics/ad tech (Google Analytics, DoubleClick, prebid)
Self-branding matches domain — no brand impersonation
Domain age information unavailable

Details

Page Title

Marvin Vettori torna nell'ottagono: stanotte la sfida con Ismail Naurdiev per cercare la svolta - il Dolomiti

Scan Type

public

Domain Name Analysis

The domain name 'www.ildolomiti.it' uses the Italian country-code top-level domain (.it); it also runs on subdomain 'www'. Count 10 characters in 'ildolomiti' with 5 vowels and five consonants. Splitting it apart reveals five words: il, do, lom, it, i. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.ildolomiti.it/sport/2026/marvin-vettori-torna-nellottagono-stanotte-la-sfida-con-ismail-naurdiev-per-cercare-la-svolta

Page Load Overview

2.57s
Total Load Time
8.0 MB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:it
Text Length:4,586 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism83% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
83%
adult content
76%
government public service
73%
forum community discussion
59%
entertainment media
52%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3552.58.8.86Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
418.245.46.9Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4142.251.14.95Google · CDNUnited States
AS15169Google LLC
4142.251.127.95Google · CDNUnited States
AS15169Google LLC
446.8.152.14London, England, United Kingdom
AS213119ALZ Software Ltd
418.66.122.26Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4142.251.13.97Google · CDNUnited States
AS15169Google LLC
4157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
4142.251.14.94Google · CDNUnited States
AS15169Google LLC
495.211.66.35Netherlands
AS60781LeaseWeb Netherlands B.V.
36383--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C7C391B340C020EAB3F39278F692B32DF1058196DA62C6A5F18C5169C7C5F9E8DE535E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:cRGWOs9yVF5W2tO3L2KUPM5VuZgq86h6+XV7ii0IHVUQnS7/CEbtUfKtoRNc:i9yVF5WaObTjPoKxtUfKqk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:124483:IIEAwIKMQtpFISjAIEARgECgAYoCNIA4RwkAQWKFDQjgMIIEJAVGuZCXNbB2nSBOEKI6RCQuBVRigYIHGY2qmUZAgEGQIgiN

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:003c3c3c3c3c1400
Perceptual Hash:8ec3344d6136cf33
Difference Hash:576969717321292f
Wavelet Hash:003dbdbd3d3d1d01
Color Hash:#b279d2

Scan History

Scan history not available

Unable to load historical scan data