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Security Scan Report: www.taylorcustomrings.com

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Submitted: May 3, 2026, 9:25:18 AMCompleted: May 3, 2026, 9:26:37 AMpubliccompleted
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Summary

This website contacted 10 IPs in 4 countries across 8 domains to perform 114 HTTP transactions. The main domain is taylorcustomrings.com and was registered NaN years ago.

Submitted URL: https://www.taylorcustomrings.com/collections/unique-engagement-rings?srsltid=AfmBOoopJAgF1Z95-zkAZagQhB0UYO9Bp8g85XzhDCm5A0aruyn4-mKS

AI Security Verdict

Low Risk

Confidence: 92%

3
Risk Score

The site appears legitimate with low risk; minor JavaScript obfuscation does not indicate active malicious behavior.

Risk Factors
High JavaScript obfuscation score (CRITICAL)
Presence of eval() call
Safety Factors
Long‑standing domain (>10 years)
Self‑brand matches domain
No malicious Indicators of Compromise
No credential or payment collection forms
No network IDS alerts or YARA malware matches
Domain age information unavailable

Details

Page Title

Unique Engagement Rings | Shop Taylor Custom Rings

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(78%)

Domain Information

The domain name 'www.taylorcustomrings.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. Count 17 characters in 'taylorcustomrings' split between five vowels and twelve consonants. Word splitting yields three words: taylor, custom, rings. The median word length lands at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.taylorcustomrings.com/collections/unique-engagement-rings?srsltid=AfmBOoopJAgF1Z95-zkAZagQhB0UYO9Bp8g85XzhDCm5A0aruyn4-mKS

Page Load Overview

2.90s
Total Load Time
114
HTTP Requests
8
Domains
3.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:12,142 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism78% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

news media journalism
78%
adult content
63%
finance banking
50%
education learning
48%
e-commerce shopping
41%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15104.16.174.226United States
AS13335Cloudflare, Inc.
11104.16.175.226United States
AS13335Cloudflare, Inc.
11151.101.66.137United States
AS54113Fastly, Inc.
11185.146.173.20Sweden
AS13335Cloudflare, Inc.
11146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
11192.178.183.95United States
AS15169Google LLC
11151.101.2.137United States
AS54113Fastly, Inc.
1123.227.38.74Ottawa, Ontario, Canada
AS13335Cloudflare, Inc.
1123.227.39.200Ottawa, Ontario, Canada
AS13335Cloudflare, Inc.
1154.192.35.127United States
AS16509Amazon.com, Inc.
11410--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E6A40AA2E03830BB045747E4322777EAB896D806E3E315D1FCBC87B557E2E725A9211D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:ONAuNj+hsF+S6tpH9BBHTwaq2DeBsI5Enpo5zaOUvtLrC1aZAcfO6vXa2/2FRaS5:/q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:469359:kMSpKEgYGthSMRAAAACwiQYqwhRBTI6WowCVSAoEICQ4EehkoIw0EgSiCIUEBESCxo0MEECiVaiMH1GAcBDloGoBAgAAIFNA

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:ffc080c0c0ffffff
Perceptual Hash:f67a8b8176a28875
Difference Hash:4115150c8e134b07
Wavelet Hash:fd808080c0ffffe1
Color Hash:#86702d

Other Hashes

Crop Resistant:4115150c8e134b07,7171292993938e8c,6030188cc6e7e370

Scan History

Scan history not available

Unable to load historical scan data