Security Scan Report: mfopasdm.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 78 IPs in 8 countries across 51 domains to perform 536 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://mfopasdm.pages.dev/HydroJug-Traveler-Resistant-Tumbler-Reusable-Insulated/dp/B0D4T6JKVD?th=1

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Fake Amazon.com storefront on an unranked pages.dev subdomain: title, footer and purchase flow impersonate Amazon; no credential fields found, but brand impersonation on a mismatched host makes it unsafe.

Risk Factors (4)
Brand impersonation: Amazon.com branding displayed on a non-Amazon domain
Unranked, unknown-age subdomain on a free shared hosting platform (pages.dev)
Cloned e-commerce product page with purchase flow ('handle-buy-box', add-to-cart/buy-now) tied to a mismatched domain
Redirect/continue-shopping lure consistent with a credential or payment harvesting funnel
Domain age information unavailable

Details

Page Title

Amazon.com | HydroJug Traveler 32oz, Insulated Tumbler with Handle & Straw, Rodeo | Triple wall insulated, flip straw lid, leak-resistant, stainless steel, cup holder friendly, BPA-free, dishwasher safe: Tumblers & Water Glasses

Scan Type

public

Domain Name Analysis

The domain 'mfopasdm.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'mfopasdm'. Its registrable label 'pages' stretches across 5 characters split between two vowels and three consonants. Breaking it apart gives 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mfopasdm.pages.dev/HydroJug-Traveler-Resistant-Tumbler-Reusable-Insulated/dp/B0D4T6JKVD?th=1

Page Load Overview

28.18s
Total Load Time
14.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-us
Text Length:52,874 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce67% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce
67%
forum
20%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
74188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
63.161.83.53Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
699.84.157.65Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
654.243.254.157Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
63.171.214.27Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
665.8.31.143Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
63.171.214.31Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
618.172.106.197Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
6188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
63.171.214.96Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
53678--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CF7185F184E20A7B217385E069A9634EBF509A57D39F5B44F6DC03E62FD6E82E413068

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:f/uvpPvFM9y7tE8wzZigDsocXTYrNt67AGBQQQcAaR2Ln:3kvtGtfs3y63QQQiRKn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3769:AAQgBFRJAKCQKIAgUIFAAQqCCgEiyIABAAAmAECVBEAAwCgTAkYAIZBQAAQAIBIBCwAAAAIAAAAIQAgIEgAIIVEAQeACoAoE

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:e7e7e7ffffffffff
Perceptual Hash:b33333998ccccccc
Difference Hash:0c0c0d0800000000
Wavelet Hash:e7e700e300000000
Color Hash:#6640bf

Other Hashes

Crop Resistant:0c0c0d0800000000

Scan History

Scan history not available

Unable to load historical scan data