Security Scan Report: linkdntest.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 5 domains to perform 8 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://linkdntest.vercel.app/

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Vercel-hosted page imitates Alibaba.com (branding, favicon, copyright) and shows a sign-in form collecting email and password on a non-Alibaba domain. Brand impersonation plus a credential form and a single-source phishing report make this unsafe.

Risk Factors (4)
Brand impersonation: Alibaba.com branding, favicon and login UI reproduced on a non-Alibaba domain
Credential collection: email + password login form on an impersonating page
Single-source phishing threat-intel match on the primary domain
Unknown subdomain creation age on an open publishing platform (vercel.app)
Domain age information unavailable

Details

Page Title

Manufacturer Directory - Suppliers, Manufacturers, Exporters & Importers

Scan Type

public

Domain Name Analysis

The domain 'linkdntest.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'linkdntest'. Count 6 characters in 'vercel' split between 2 vowels and four consonants. It segments into two words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

€2,Alibaba.com UPATOLUSSIOOIOEE ON}YOURIEIRSTIPURCHASES Wh) PARAL USD 980.00 “tse-100000 i . AllExpress | 1688.com | Tmall Taobao World | Alipay | Lazada | Taobao Global | TAO Sign in Email addr...

Page Load Overview

2.25s
Total Load Time
196 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:544 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical61% confidence
Type: webapp
Method: ml+structural

All Detected Categories

documentation technical
61%
e-commerce shopping
55%
technology software
51%
social media network
34%
cryptocurrency blockchain
32%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
118.66.115.191Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
123.52.182.142Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.13.94Google · CDNUnited States
AS15169Google LLC
87--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T115A2A3AB69F305423903E5B83BEB6B452325D107D54AC9287FCC1348CFCA6999D62BDC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:Vr+DNf9djTG+ny1dKmuffhYCdzT7oaoJw2Nt79R1hE+kE:wNf9djTGf1dtCTl76J3JR1m+j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23303:qgAmeAiBSQboEADALLEkIsywIAjHM4IiECgCeAArJCKIQBNCyBMcDlCABEqD5oQZG1YR0ICcKVUBTPAQAh8EUCABjFwiYUCI

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:0f0f0f0faf3f0fff
Perceptual Hash:b31194cecc3fc4e8
Difference Hash:dadbda5b4b695a1e
Wavelet Hash:0f070f0f0d0f0faf
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data