Security Scan Report: www.bersntol.it

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Submitted: Jun 10, 2026, 12:46:27 AMCompleted: Jun 10, 2026, 12:47:38 AMpubliccompleted
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Summary

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

Submitted URL: https://www.bersntol.it

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site appears legitimate: old domain, no malicious indicators, and content is a news article about its own institution.

Safety Factors
Very old domain with long registration history
Self‑branding aligns with domain name
Page classified as news/blog article
No suspicious external links or redirects
No network IDS alerts or malicious behavior
Domain age information unavailable

Details

Page Title

Istituto culturale mocheno

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

news/blog

(40%)

Domain Information

The domain name 'www.bersntol.it' uses the Italian country-code top-level domain (.it) and includes subdomain 'www'. Count 8 characters in 'bersntol' containing 2 vowels alongside 6 consonants. It segments into 4 words: ber, sn, to, l. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.bersntol.it

Page Load Overview

2.25s
Total Load Time
32
HTTP Requests
2
Domains
4.6 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
Text Length:7,769 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog40% confidence
Type: dynamic
Method: structural

All Detected Categories

news/blog
40%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1699.81.25.153Dublin, Leinster, Ireland
AS16509Amazon.com, Inc.
16185.111.111.157Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
322--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DC83D8309551183B827359FCF1BEBB0AB5D3810DDA934A15B3FD8B481FEBE60E916219

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:vFTb2TP0ES9su5jO3Agu+R29k7NRj4cVcLTTRgMUo1wfsMlBXMWnGNmPoZwM:vFTb2TPrS9su5jOJ2a7eCoiFJMojM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:84939:ihQSkRA0gIRQ0MJRQjHEICj0BgAYACgRkdqZiR4MmCFMMEOQwMMwDAahkEAEwEpWCxQQIUZJBxUwCCIgKEAJAaCFI4yAgEFA

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:0000f1f1f1ffffc7
Perceptual Hash:ee4413136e94e9c7
Difference Hash:ccc723272703702b
Wavelet Hash:0000f1f1f1f9ff83
Color Hash:#6c75e0

Scan History

Scan history not available

Unable to load historical scan data