Security Scan Report: ovs.it

Redirected to:
https://www.ovs.it/it/it/
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Submitted: Jun 29, 2026, 4:35:46 PMCompleted: Jun 29, 2026, 4:37:40 PMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 10 domains to perform 2 HTTP transactions. The main domain is ovs.it and was registered NaN years ago.

Submitted URL: https://ovs.it

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

The Cisco Umbrella rank of the primary domain is #791,954 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

Site appears legitimate e‑commerce with no credential harvesting, but high JS obfuscation and low ranking suggest cautious use.

Risk Factors
Low domain ranking for a major brand
High JavaScript obfuscation / extensive eval() usage
Safety Factors
Long‑standing domain (registered 2000)
Self‑branding matches domain
Absence of credential or payment collection forms
No malicious network activity or known IoCs
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

OVS: Abbigliamento da Donna, Uomo e Bambini

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

e-commerce shopping

(97%)

Domain Information

Domain 'ovs.it' uses the Italian country-code top-level domain (.it) with no subdomain. Count 3 characters in 'ovs' split between 1 vowel and two consonants. Splitting it apart reveals two words: ov, s. The median word length lands at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ovs.it

Page Load Overview

13.46s
Total Load Time
318
HTTP Requests
24
Domains
170.3 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:23,918 chars
Detector Agreement:80%

Website Classification

Primary Category

e-commerce shopping97% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
97%
government public service
90%
education learning
90%
blog personal website
87%
documentation technical
86%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
38146.75.123.52Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
35104.16.79.73United States
AS13335Cloudflare, Inc.
3554.237.106.67Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
35142.250.154.95United States
AS15169Google LLC
35141.95.185.96France
AS16276OVH SAS
35104.18.41.105United States
AS13335Cloudflare, Inc.
3535.158.127.53Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
35104.18.86.42United States
AS13335Cloudflare, Inc.
3518.66.138.159United States
AS16509Amazon.com, Inc.
3189--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16AB445F26640DD3B868792F429A8E325D172E22CCB5D39C6B5FE23B56742E705E412CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:6bsXj3SDZjbKXlAMi1KfEBLhxM/3DyTHHtO/dJQTSihIbEQtEH3Abi2I+LQamGBr:qPNaeGpKZ9kgv33NnTnn3gmR/ULo6J

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500137:YPBaCKp7KISOTJJghfiQAMIkRMLQBEGY4FEmMIwoigEgWkE8CmHQA2EDsBCIQ2AkJBKGIjKhAEvgoRgUdVQALb+kwWrgaQCE

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:00337979f8b8b1f3
Perceptual Hash:cc02357f516f51a9
Difference Hash:76e7f3f3f37363b3
Wavelet Hash:00337979b9b8b1f1
Color Hash:#5366ac

Scan History

Scan history not available

Unable to load historical scan data