Security Scan Report: fseryy.pages.dev

Redirected to:
https://fseryy.pages.dev/Amazon-eGift-Card-Cheers-and-Toasts-Animated/...
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Submitted: Oct 1, 2026, 1:45:38 PMCompleted: Oct 1, 2026, 1:48:30 PMpubliccompleted

This website contacted 16 IPs in 2 countries across 6 domains to perform 194 HTTP transactions. The main domain is fseryy.pages.dev and was registered 6 months ago.

Submitted URL: https://fseryy.pages.dev/Amazon-eGift-Card-Cheers-and-Toasts-Animated/dp/B0F2N1PSF7?pf_rd_p=f48567e1-5fd4-416a-a01c-fe4d73966da9&pf_rd_r=06CM176ZSW8HP3EHPSBP&ref_=US_GC_AGC_P1_25_STND_B0F2N1PSF7

Effective URL:

https://fseryy.pages.dev/Amazon-eGift-Card-Cheers-and-Toasts-Animated/...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Amazon-branded eGift Card storefront cloned onto the unrelated Cloudflare Pages subdomain fseryy.pages.dev — clear brand impersonation, do not enter payment or account details.

Risk Factors (4)
Brand impersonation of Amazon on a non-Amazon domain
Amazon product-page clone with purchase/buy-box form on third-party hosting subdomain
Unranked domain claiming a major e-commerce brand
Unknown-age shared-hosting tenant subdomain
Domain age information unavailable

Details

Page Title

Amazon.com: Amazon eGift Card - Cheers & Toasts : Gift Cards

Scan Type

public

Domain Name Analysis

The domain 'fseryy.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'fseryy'. The second-level label 'pages' is 5 characters long with two vowels and three consonants. Segmentation suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fseryy.pages.dev/Amazon-eGift-Card-Cheers-and-Toasts-Animated/dp/B0F2N1PSF7?pf_rd_p=f48567e1-5fd4-416a-a01c-fe4d73966da9&pf_rd_r=06CM176ZSW8HP3EHPSBP&ref_=US_GC_AGC_P1_25_STND_B0F2N1PSF7

Page Load Overview

90.17s
Total Load Time
3.1 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:8,184 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce85% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce
85%
other
81%
legitimate website
56%
malicious
44%
suspicious phishing
28%

Detected Features

Search
Payment

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14172.66.47.198Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1223.53.40.8Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
12100.60.100.124Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
1223.53.40.35Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1244.215.115.167Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
12142.251.110.154Google · CDNUnited States
AS15169Google LLC
1244.215.133.78Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
1254.192.35.94Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1254.192.35.70Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
12108.138.2.210Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
19416--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ACC53A09F8B12177512F21E6D47F2B067697F317DA414BC0F9AD06681FD7C89222BAAC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:e24XWrHKBp4M7OXVybgOPxJaL+oD5z0A2LwoRlWKCp7HkrT0ZR:eCXuPMR0A2LJvrGR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2675979:EtAKBcABtBRcOaqA4AAAYBjsAZCTImJACDCRYBQJAiYQEEgAPApkYwZzBgIFshGgRGooCp0AZCagEQKQC2kpOFhFQMEBAEAg

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:00ffff9f8fcfffff
Perceptual Hash:be4a41561e53435f
Difference Hash:d92e51313d1d181f
Wavelet Hash:00bfef8d8587ef00
Color Hash:#2d864f

Scan History

Scan history not available

Unable to load historical scan data