Security Scan Report: amazon-front-me.vercel.app

Redirected to:
https://amazon-front-me.vercel.app/
Site favicon
Submitted: Sep 4, 2026, 12:45:36 AMCompleted: Sep 4, 2026, 12:47:44 AMpubliccompleted

Summary

This website contacted 12 IPs in 2 countries across 9 domains to perform 2 HTTP transactions. The main domain is amazon-front-me.vercel.app and was registered 31 years ago.

Submitted URL: http://amazon-front-me.vercel.app/

Effective URL: https://amazon-front-me.vercel.app/Redirected

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The site shows product listings but contains no credential collection or malicious code; it is a low‑risk portfolio clone.

Safety Factors
Self‑branding disclaimer clarifies non‑official status
Absence of forms, scripts, or external credential exfiltration
No malicious threat‑intel matches
Domain age information unavailable

Details

Page Title

Amazon

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(77%)

Domain Information

Within the application-focused generic top-level domain (.app), 'amazon-front-me.vercel.app' is registered with subdomain 'amazon-front-me'. The second-level label 'vercel' is 6 characters long split between 2 vowels and four consonants. It segments into 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://amazon-front-me.vercel.app/

Page Load Overview

4.01s
Total Load Time
55
HTTP Requests
9
Domains
6.4 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:2,693 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical77% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
77%
finance banking
69%
government public service
62%
gambling betting
52%
e-commerce shopping
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11216.198.79.3United States
AS16509Amazon.com, Inc.
4146.75.120.176Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
454.187.159.182Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
454.186.23.98Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
464.29.17.195United States
AS16509Amazon.com, Inc.
4188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
434.213.4.50Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
4142.251.20.95Google · CDNUnited States
AS15169Google LLC
4150.171.27.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
4146.75.122.208Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
5512--

Page Statistics

55
Requests
9
Unique Domains
6.8 MB
Total Size

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T166F08B4258F08516123097419DD1F8285C85A6179205AA51B4EB70ED1FD4BA3CC9B57D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:h4hqIY7YOLBrAMMJACWTafAbpli7vFalKXH+EYLjRlEC95fkdlJAqIbR2+MvfWHf:hRo0y7feEK32lOqsKW/USAV1ZWQqAEd1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:554:AAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAQAAAAAAAABAAQAAAAEAgBBAAAAAAQAgAAAAAAAAQgAAAAAAAAAAAAAAAAAAAAAAA

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:00020088ffffffff
Perceptual Hash:d254528e5acb5bc5
Difference Hash:c9ae8a39c71122dc
Wavelet Hash:00004088ffffffce
Color Hash:#5377ac

Scan History

Scan history not available

Unable to load historical scan data