Security Scan Report: www.afclodi.it

Submitted: Jan 22, 2026, 8:15:27 PMCompleted: Jan 22, 2026, 8:17:09 PMpubliccompleted
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Summary

This website contacted 10 IPs in 2 countries across 12 domains to perform 169 HTTP transactions. The main domain is afclodi.it and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal pharmacy site with no security concerns.

Safety Factors
Well‑established domain
No redirects or hidden malicious scripts
No suspicious forms or data collection
No brand impersonation
Domain age information unavailable

Details

Page Title

Servizi Farmaceutici | Farmacie Comunali Lodi

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

healthcare medical

(90%)

Domain Information

The domain name 'www.afclodi.it' uses the Italian country-code top-level domain (.it) and includes subdomain 'www'. Count 7 characters in 'afclodi' containing 3 vowels alongside four consonants. Word splitting yields 2 words: afc, lodi. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

25.00s
Total Load Time
195
HTTP Requests
12
Domains
1.9 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:1,549 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical90% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
90%
blog personal website
49%
government public service
45%
social media network
38%
documentation technical
28%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2434.149.206.255Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
193.232.177.253Ashburn, Virginia, United States
AS14618AMAZON-AES
1934.49.229.81Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
19185.152.64.17Unknown
1934.149.87.45Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
19185.111.111.157Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
19151.101.2.217Unknown
1965.8.131.125United States
AS16509AMAZON-02
19185.111.111.158Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
19216.58.206.40United States
AS15169GOOGLE
19510--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11C557DA0760C2C3D4BA722DDB112B9FD6696B002CF8605BEF5EDB65815CFBE42367205

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:bikh1A9g1YhukAiAmkMKZX8duOi5OjOtzrONNd0R3bEHPY2oDwCTt/zTaCR9CrVy:biK1MgOKB8xFWa0KLQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1301151:GgO4DHjozXChBiEAhATIEIYMFxHjkJIMJtSUiJUOL7SYhACmKcCYFAlQMADBoYLbACGqcEACAGQARhyAwD4BQM9DkEgNlCkI

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:fffffcec2f0f0101
Perceptual Hash:b0db2587b3789265
Difference Hash:88080919d9fd869e
Wavelet Hash:ffffecac0f070000
Color Hash:#1f3393

Scan History

Scan history not available

Unable to load historical scan data