Security Scan Report: fseryy.pages.dev

Redirected to:
https://fseryy.pages.dev/amz-books/store?ou=psf&ie=UTF8&ref_=nav_cs_bo...
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Submitted: Oct 2, 2026, 1:45:03 AMCompleted: Oct 2, 2026, 1:47:16 AMpubliccompleted

This website contacted 22 IPs in 2 countries across 11 domains to perform 207 HTTP transactions. The main domain is fseryy.pages.dev and was registered 10 years ago.

Submitted URL: https://fseryy.pages.dev/amz-books/store?ou=psf&ie=UTF8&ref_=nav_cs_books

Effective URL:

https://fseryy.pages.dev/amz-books/store?ou=psf&ie=UTF8&ref_=nav_cs_bo...
Redirected

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Unrelated pages.dev subdomain masquerading as the Amazon.com Books store with full Amazon branding and mirrored content. No credential/payment form captured, but this is clear brand impersonation — do not enter account or payment data here.

Risk Factors (3)
Brand impersonation of Amazon on a non-Amazon domain (fseryy.pages.dev)
Complete mirror of Amazon's commercial storefront and brand assets without disclosure
Hosted on an anonymous free publishing subdomain with unknown page age and no reputation
Domain age information unavailable

Details

Page Title

Amazon.com: Books

Scan Type

public

Domain Name Analysis

The domain 'fseryy.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'fseryy'. Its registrable label 'pages' stretches across 5 characters with two vowels and 3 consonants. Tokenizing the label suggests one word: pages. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fseryy.pages.dev/amz-books/store?ou=psf&ie=UTF8&ref_=nav_cs_books

Page Load Overview

90.22s
Total Load Time
2.8 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:10,637 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce66% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce
66%
forum
20%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18172.66.44.58Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
999.84.157.65Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
9172.66.47.198Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9100.57.147.248Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
944.215.115.167Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
954.161.176.210Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
944.218.180.49Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
932.199.135.40Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
93.225.13.196Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
952.45.6.57Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
20722--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E65196869DD2118BA470D370BAFB670D9330E06B6389DD45B58C0230CF84BB99C776B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:UvFM9y1tE8FS5gquHDRXxTihvxpGH0HJ1lXE0SVB7nUoucmePp4z:UvT7SehX+8UZRS5Ssk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2704:AAAcQAAAAA4QACIBJBOAAJBgDEAggANAAAAhCBAhAoAAFApAgIAABAAgAAQAQAAKBAABBAAABwAIGIAgAAAEgAAEAEAAAgEg

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:00efefe7e7e7e7ff
Perceptual Hash:f34c4c674c4f4c4d
Difference Hash:c4089d0a0a4e4a00
Wavelet Hash:00c3c3c72020243c
Color Hash:#785b3a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data