Security Scan Report: www.asp.re.it

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Submitted: Dec 31, 2025, 10:28:33 PMCompleted: Dec 31, 2025, 10:29:51 PMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 6 domains to perform 117 HTTP transactions. The main domain is asp.re.it and was registered NaN years ago.

Submitted URL: https://www.asp.re.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears legitimate.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No suspicious forms or content
Domain age information unavailable

Details

Page Title

ASP Reggio Emilia – Città delle Persone

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(98%)

Domain Information

Within the Italian country-code top-level domain (.re.it), 'www.asp.re.it' is registered; it also runs on subdomain 'www'. The registrable portion 'asp' spans 3 characters split between 1 vowel and 2 consonants. It segments into one word: asp. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.asp.re.it/

Page Load Overview

11.66s
Total Load Time
141
HTTP Requests
6
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:10,392 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service98% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
98%
corporate business
83%
healthcare medical
83%
education learning
78%
cryptocurrency blockchain
75%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2935.152.40.99Germany
28158.255.242.36Italy
AS12874Fastweb
2835.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
28146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113FASTLY
28104.18.1.22United States
AS13335CLOUDFLARENET
1415--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T161C30872018C683F460693CAB072BF18F39B9836CB5369A1F7FE6268DBC5CD15926507

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:/WypnHMf46cGnFY06JrGHNEDF05jjVvQJhvXX1vh0GEYu6FORGvbHoGNfPKi3m:/PWf3HnFY06JrGHNyXHoG93m

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:119325:kAMICCHiBigXTFhAAKYA6s4FIkEiIgvGRQVjaASgZsYg5oR4pBM0AACA4owgaOAoklCwELYCkiADEVBCzA3QaYCyoAgMgcTd

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:999f000080ffffff
Perceptual Hash:df58a4af5e332019
Difference Hash:313c9829711e6e7c
Wavelet Hash:001f000098ffffff
Color Hash:#a6d279

Scan History

Scan history not available

Unable to load historical scan data