Security Scan Report: ecommerce-build.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 8 IPs in 2 countries across 5 domains to perform 35 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://ecommerce-build.vercel.app/

AI Security Verdict

Moderate Risk

Confidence: 60%

4
Risk Score

Generic headphone store on a free Vercel subdomain with unknown age, inconsistent branding, and no credential/payment forms. No malware or phishing IoC; moderate risk due to shared hosting and possible counterfeit storefront.

Risk Factors (4)
Free/shared hosting platform subdomain allows anonymous, potentially recent deployment.
Domain lacks established reputation (unranked in Cisco Umbrella).
Inconsistent branding and use of third-party headphone brands without clear official authorization or contact details.
Typos and implausible product listings suggest a low-trust or possible counterfeit-oriented storefront.
Safety Factors (5)
No credential or payment forms, password fields, or cross-origin form submissions.
No Indicators of Compromise, YARA malware patterns, or Google Safe Browsing threats.
No JavaScript credential exfiltration or obfuscated network sinks detected.
Stripe scripts load from official Stripe domains and are normal payment infrastructure.
Page does not present itself as a specific different organisation's official login or brand portal.
Domain age information unavailable

Details

Page Title

Headphone Store

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'ecommerce-build.vercel.app' is registered with subdomain 'ecommerce-build'. The core label 'vercel' covers 6 characters containing two vowels alongside 4 consonants. It segments into 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ecommerce-build.vercel.app/

Page Load Overview

1.37s
Total Load Time
607 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Text Length:465 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media26% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
764.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
434.149.250.58Google · CDNKansas City, Missouri, United States
AS396982Google LLC
418.66.122.50Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
418.66.122.113Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
418.66.122.63Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4146.75.120.176Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
435.164.111.173Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
358--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C272936AA837BD7B02E502CD70EF335F340F7166D0D19A9473A889B062A5DDF1E26905

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:11HBwnsYj3fv5cDW/bszbpGzzbM4zbXdzbtZzbZNzb2NLzbCSBzbM7br72AmvXiU:11hhYj3fxc6/YzczzY4zLdzRZzlNzYLd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15995:EQnWIiBDbRREBGTLzI4cFEMGMBFoQQkoCAAGwQQIIowCIhLAAZJAAoFsow+Qx4cQANSYhpMJiAKQJ4FAxkoAgEpQkqkcOCiG

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:f3838393ffff81c3
Perceptual Hash:ee867991926c916b
Difference Hash:272727270b0e2307
Wavelet Hash:f7818181e7ef81c3
Color Hash:#5cac53

Scan History

Scan history not available

Unable to load historical scan data