Security Scan Report: fseryy.pages.dev

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Submitted: Oct 1, 2026, 12:45:46 AMCompleted: Oct 1, 2026, 12:47:54 AMpubliccompleted

This website contacted 75 IPs in 8 countries across 51 domains to perform 141 HTTP transactions. The main domain is fseryy.pages.dev and was registered 12 years ago.

Submitted URL: https://fseryy.pages.dev/gp/browse.html?node=20338496011&ref_=footer_amazonglobal

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

A full Amazon storefront clone served from the disposable Cloudflare Pages host fseryy.pages.dev, carrying an OpenPhish phishing report and unranked reputation. Classic brand impersonation — do not enter any account or payment details.

Risk Factors (5)
Brand impersonation of Amazon on a domain that is not amazon.com
Threat-intelligence phishing report against the scanned URL's domain (single-source, unverified)
Unranked domain (not in Cisco Umbrella top 1M) while claiming a top global brand
Disposable shared-hosting subdomain (.pages.dev) with unknown content age
Full replication of Amazon navigation, footer and account sign-in funnels
Domain age information unavailable

Details

Page Title

Amazon.com: : All Departments

Scan Type

public

Domain Name Analysis

The domain name 'fseryy.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'fseryy'. Its registrable label 'pages' stretches across 5 characters containing two vowels alongside three consonants. Breaking it apart gives 1 word: pages. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fseryy.pages.dev/gp/browse.html?node=20338496011&ref_=footer_amazonglobal

Page Load Overview

8.98s
Total Load Time
1.2 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:5,057 chars
Detector Agreement:75%

Website Classification

Primary Category

e-commerce shopping78% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
78%
finance banking
39%
adult content
38%
documentation technical
38%
technology software
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
67172.66.44.58Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1146.75.121.16Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
134.235.232.216Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
144.215.115.167Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
154.192.35.6Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1172.66.47.198Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
152.20.161.42Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
144.215.137.192Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
154.159.73.245Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
144.215.116.52Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
14175--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EA644C65FCA03033017321EAD57F6B0D25B2824BF9462990BA6D87946FF5E4E4637E2C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:U/l8T2hxWBfIMHFehuwklpGt2v3v8+ua05ZWNI0UJK:Ce23G06N

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:333912:iwAAFMqjAuVuEwkIwLAMO2yGqYhCQIAEEUBhRIBQ4AAwSoWIYAiAIKJQGwGTEa0ANhRgQU4ECFIBACjwgYXiWSRiADBgCGZA

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:00e7ffbfbfbfbfff
Perceptual Hash:9f4341435357535b
Difference Hash:c82a6a7078707070
Wavelet Hash:0080869e8f9f9f9f
Color Hash:#e06c6c

Scan History

Scan history not available

Unable to load historical scan data