Security Scan Report: www.empolese-valdelsa.it

Submitted: Jan 11, 2026, 5:42:19 AMCompleted: Jan 11, 2026, 5:44:13 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 78 HTTP transactions. The main domain is empolese-valdelsa.it and was registered NaN years ago.

Submitted URL: https://www.empolese-valdelsa.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
No suspicious forms or fields
No external malicious links
Domain age information unavailable

Details

Page Title

Circondario Empolese Valdelsa

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the Italian country-code top-level domain (.it), 'www.empolese-valdelsa.it' is registered with subdomain 'www'. Its registrable label 'empolese-valdelsa' stretches across 17 characters containing 7 vowels alongside nine consonants; it also includes one hyphen. Splitting it apart reveals five words: em, poles, e, vald, elsa. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.empolese-valdelsa.it/

Page Load Overview

37.23s
Total Load Time
79
HTTP Requests
3
Domains
1.0 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:6,637 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
27159.213.247.24Florence, Tuscany, Italy
AS6882Regione Toscana
26159.213.118.213Campi Bisenzio, Tuscany, Italy
AS6882Regione Toscana
2635.152.40.99Milan, Lombardy, Italy
AS16509AMAZON-02
793--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13123C83111C64B37122796D5B6A077CBE0C2DA4BF2836E2472EC53ADA3C6DC1ED5225E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:5RbCXQThmDF0a9T3GYNszyugXBZ7K5Zf0Afwme3eekaftDC8pe:vbCXQkDF0a9TLszyugxZ7K5Zf0Afwmeu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:49144:QOqCREYIQIQwoCARDdESBFTDCJAwgIQnoIAUgACAxAAg6DawLLjUxJZRANABEKWlVAcm2FMgCcTYFUlMBYAcYELDKgqiJQig

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:c3c3ffc7ffefcfef
Perceptual Hash:b13232323693cbcf
Difference Hash:0e8e120e260e1e16
Wavelet Hash:80c3cbc3dbc3c3c3
Color Hash:#d2c52d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data