Security Scan Report: centrocommercialelafortezza.it

Redirected to:
https://www.centrocommercialelafortezza.it/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 26 IPs in 2 countries across 8 domains to perform 86 HTTP transactions. The main domain is centrocommercialelafortezza.it and was registered 14 years ago.

Submitted URL: https://centrocommercialelafortezza.it

Effective URL:
https://www.centrocommercialelafortezza.it/
Redirected

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

Genuine Modica shopping-mall site whose pages have been compromised: obfuscated injected scripts use EtherHiding to pull a next-stage payload from a blockchain contract, contacting malware-linked hosts. No forms, but malware distribution risk is real.

Risk Factors (4)
Obfuscated injected JavaScript with hidden malware-associated hosts
EtherHiding blockchain-based next-stage payload resolution
Domain reported as a malware loader by threat intelligence
Site scripts fetch from multiple BSC testnet RPC endpoints unrelated to site purpose
Domain age information unavailable

Details

Page Title

La Fortezza - Centro Commerciale di Modica

Scan Type

public

Domain Name Analysis

Domain 'centrocommercialelafortezza.it' uses the Italian country-code top-level domain (.it) while skipping any subdomain. The core label 'centrocommercialelafortezza' covers 27 characters containing eleven vowels alongside 16 consonants. Tokenizing the label suggests 6 words: centro, commercial, ela, forte, zz, a. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://centrocommercialelafortezza.it

Page Load Overview

3.25s
Total Load Time
3.7 MB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:it-IT
Text Length:3,157 chars
Detector Agreement:80%

Website Classification

Primary Category

real estate property68% confidence
Type: spa
Method: ml+structural

All Detected Categories

real estate property
68%
corporate business
36%
adult content
30%
corporate
25%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1189.46.108.7Arezzo, Tuscany, Italy
AS31034Aruba S.p.A.
3142.251.13.95Google · CDNUnited States
AS15169Google LLC
315.197.198.189Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3142.215.53.55Washington, District of Columbia, United States
AS15830Equinix (EMEA) Acquisition Enterprises B.V.
3172.66.150.162Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
33.33.155.121Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
33.33.196.84Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3104.20.46.180Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
335.71.129.99Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3142.251.153.119Google · CDNUnited States
AS15169Google LLC
8626--

Detected Technologies14

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18A257D76740B2138016371A5B4CB9D08F85A465394E7A0F3F39C8A28B5FE7D8A27375E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:NrQM9ktM2/a3OTY33RAMpK/a46AcMkJAlMn73q8++QwtA8AHcQdOYi3I/YkDiF:FQWvKT6AcMdCJANiF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:978206:EsFBBq0MENZIhAIAUEmC1S6oAgAGhxUVMoIRJFELAA6gIOCQSdWIEAgcKkIuCeJGBhALAEY5M2yCkwjKGDAEUSBJVKCABKNf

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:ffff000080808000
Perceptual Hash:fec183fe811f6019
Difference Hash:080c21252a2d2c2c
Wavelet Hash:ffff00a0bf909680
Color Hash:#3a7178

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data