Security Scan Report: arencia-vitaminc-booster-amazon.netlify.app

Submitted: Aug 13, 2026, 3:45:09 PMCompleted: Aug 13, 2026, 3:46:27 PMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site is a self‑branded e‑commerce page on a Netlify subdomain with unknown age; lacking malicious signals but collecting personal data, it warrants moderate risk.

Risk Factors (3)
Unknown subdomain age (could be newly created)
Unranked domain with no reputation
Personal data collection without clear purpose
Safety Factors (4)
No credential or payment fields
No malicious JavaScript or exfiltration behavior
No brand impersonation
No external threat intelligence matches
Domain age information unavailable

Details

Page Title

Arencia

Scan Type

public

Domain Name Analysis

The domain 'arencia-vitaminc-booster-amazon.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'arencia-vitaminc-booster-amazon'. The core label 'netlify' covers 7 characters containing two vowels alongside five consonants. Word splitting yields three words: net, li, fy. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://arencia-vitaminc-booster-amazon.netlify.app/

Page Load Overview

2.31s
Total Load Time
2.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:8,572 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping73% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
73%
healthcare medical
70%
documentation technical
62%
education learning
58%
government public service
57%

Detected Features

Products

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11104.18.33.206Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1063.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1057.144.244.128Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
313--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T152240A9171B10031506345E96A93B7A9BF749403A70ADD203ADC127C1FCAFB796BB7AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Y1OmsLDGsEa4NbfgCE4rnB83tT5Mxo07V:Y1OmsDqaebfEkW3tT5Mxo07V

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:229919:HKBBEoASHAQYKUkdGGOYiqCTUZIayAWAJMAABEXIAnagEYKSTIINLYlK5MgGKgMwKEwmWIWSYAhCgWAIIRAOsHKCOKhEMJBn

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:c7e7efffffffffef
Perceptual Hash:b376336633223333
Difference Hash:4c4c180400000c18
Wavelet Hash:0000041cfefee6e6
Color Hash:#862d52

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data