Security Scan Report: www.comune.remanzacco.ud.it

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Submitted: Dec 14, 2025, 1:19:13 AMCompleted: Dec 14, 2025, 1:19:37 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 2 domains to perform 49 HTTP transactions. The main domain is comune.remanzacco.ud.it.

Submitted URL: https://www.comune.remanzacco.ud.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Government/municipal domain
Absence of credential or payment collection forms
No malicious Indicators of Compromise detected
Content aligns with expected municipal information
Domain age information unavailable

Details

Page Title

Comune di Remanzacco

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'www.comune.remanzacco.ud.it' uses the Italian country-code top-level domain (.ud.it) with subdomain 'www.comune'. Its registrable label 'remanzacco' stretches across 10 characters holding 4 vowels versus six consonants. Word splitting yields 3 words: rem, anzac, co. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.remanzacco.ud.it/

Page Load Overview

4.01s
Total Load Time
49
HTTP Requests
2
Domains
1.5 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:5,789 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
1735.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
1635.152.40.99Milan, Lombardy, Italy
AS16509AMAZON-02
1693.56.55.243Milan, Lombardy, Italy
AS12874Fastweb
493--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11BF3C73592F8927E0596C7ECAB70BB29AD4A81ABD5D74144B2BD8B840FE3CD0F50B54C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:/EyF5EV1ab6QCuQYSMhne8/Itl3wNCiPtNLusUW7mcoVU+u7dDi:t3NrY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:157730:RB4ASiSDpkAKUAMSCaGxKohbMEAEpIBpEEhEKqCJYR1DmC2YAQ+xQQKADIEymiUyASOIYIFQwKAMDrBLBihJECAkJBgSMwEQ

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:0000fbffffffffff
Perceptual Hash:ec251312139dfce9
Difference Hash:ccc723272725d254
Wavelet Hash:0000d1f1f181ffff
Color Hash:#ac5380

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data