ScanMalware.com

Security Scan Report: www.comune.collegno.to.it

Submitted: Oct 17, 2025, 12:26:34 PMCompleted: Oct 17, 2025, 12:27:35 PMpubliccompleted
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Summary

This website contacted 12 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is comune.collegno.to.it.

Submitted URL: https://www.comune.collegno.to.it/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Site shows a CloudFront 403 error with no malicious indicators; appears legitimate.

Safety Factors
No malicious Indicators of Compromise detected
No credential or payment forms present
Site returns a standard CloudFront 403 error, indicating no malicious content
Domain age information unavailable

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

ERROR: The request could not be satisfied

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(67%)

Domain Information

Within the Italian country-code top-level domain (.to.it), 'www.comune.collegno.to.it' is registered with subdomain 'www.comune'. The core label 'collegno' covers 8 characters split between 3 vowels and 5 consonants. It segments into three words: colle, g, no. Average segment length settles at 2 characters. Most frequently, 'colles' shows up in Catalan. Secondary signals appear in Spanish and Galician. Overall, 'www.comune.collegno.to.it' reads as Catalan.

Screenshot

Security scan screenshot of https://www.comune.collegno.to.it/

Page Load Overview

7.19s
Total Load Time
2
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:553 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical67% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
67%
technology software
43%
healthcare medical
27%
cryptocurrency blockchain
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
218.244.18.12United States
AS16509AMAZON-02
018.244.18.96United States
AS16509AMAZON-02
018.244.18.110United States
AS16509AMAZON-02
02600:9000:275d:7800:1e:c37c:b900:93a1United States
AS16509AMAZON-02
02600:9000:275d:1800:1e:c37c:b900:93a1United States
AS16509AMAZON-02
02600:9000:275d:9200:1e:c37c:b900:93a1United States
AS16509AMAZON-02
018.244.18.13United States
AS16509AMAZON-02
02600:9000:275d:1000:1e:c37c:b900:93a1United States
AS16509AMAZON-02
02600:9000:275d:2e00:1e:c37c:b900:93a1United States
AS16509AMAZON-02
02600:9000:275d:fa00:1e:c37c:b900:93a1United States
AS16509AMAZON-02
212--

Detected Technologies5

Amazon Web Services
50%
HTTP/3
40%
HSTS
40%
Amazon CloudFront
40%
AWS WAF
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10901862B56CC252712023504DF8AFF24A15954BDE13540207469C0EF31DA358EBE61C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:kHksq+Me57SaQSorcUezjIykgxQ4rlOk388:Cq+t5qI7xQ4b88

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:821:AAAAAAGgEIAAAAAAAAAAgAAAAAAAAAgAIAAAAAAAAAAAQAAAAAAgAAAEYAAAAAAAQAAgAAAAEAAAAAACQCEAAAAAAAEAAEAA

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:0700ffffffffffff
Perceptual Hash:87070303c3edcdcf
Difference Hash:ccec000000000000
Wavelet Hash:0000fffff0f0f0f0
Color Hash:#53ac8d

Other Hashes

Crop Resistant:ccec000000000000

Scan History

Scan history not available

Unable to load historical scan data