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Security Scan Report: www.dexnangiehof.com

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Submitted: Dec 9, 2025, 10:06:13 AMCompleted: Dec 9, 2025, 10:07:55 AMpubliccompleted
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Summary

This website contacted 12 IPs in 2 countries across 8 domains to perform 119 HTTP transactions. The main domain is dexnangiehof.com and was registered NaN years ago.

Submitted URL: https://www.dexnangiehof.com/product/pepsi/312

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Established domain (>3 years)
No credential or payment collection forms
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Cart | Dex N Angie House of Flavor

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(29%)

Domain Information

The domain name 'www.dexnangiehof.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Count 12 characters in 'dexnangiehof' holding five vowels versus seven consonants. Tokenizing the label suggests 5 words: dex, n, angie, h, of. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.dexnangiehof.com/product/pepsi/312

Page Load Overview

52.91s
Total Load Time
119
HTTP Requests
8
Domains
2.1 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:290 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping29% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
29%
corporate
25%
e-commerce
15%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20146.75.121.46Frankfurt am Main, Hesse, Germany
AS54113FASTLY
9199.34.228.176United States
AS27647WEEBLY
93.233.158.24Ashburn, Virginia, United States
AS14618AMAZON-AES
93.233.158.25Ashburn, Virginia, United States
AS14618AMAZON-AES
93.233.158.26Ashburn, Virginia, United States
AS14618AMAZON-AES
935.186.247.156United States
AS396982GOOGLE-CLOUD-PLATFORM
974.115.51.7United States
AS27647WEEBLY
92a04:4e42:8e::302Frankfurt am Main, Hesse, Germany
AS54113FASTLY
92600:1f18:24e6:b900:633c:1d50:cbd8:2a53Ashburn, Virginia, United States
AS14618AMAZON-AES
92600:1f18:24e6:b901:fbdc:7182:a89c:6101Ashburn, Virginia, United States
AS14618AMAZON-AES
11912--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D5F3D5DA1618069CA14B8A6DAF2FFE05132FB067B5448880BA9EC26CD7DF5D6F31351C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ZLTkzk/CTyVzYc19Sc19lSaG6/Fm+6GCRQ7HGc8FsR8MLqUk9FsR8MLqUBb:Zrsc19Sc194m9fCRQ7H/vJt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:171657:gFwCDUVraKRMKgaqAAUqBiBsAATQIIwDIcEBKzAzaCPBBC4gCBQo5VBMCKkKtEIMQAICAzZzAAAJBhKCVsBAmfIEVAUKVARE

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#3a4378

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

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