Security Scan Report: linkdntest.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 6 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

Confirmed Scam

Confidence: 95%

10
Risk Score

Fake Alibaba.com sign-in page on a free .vercel.app subdomain, copying Alibaba branding and legal footers to harvest email/password credentials. Confirmed credential phishing.

Risk Factors (5)
Impersonation of Alibaba.com on a domain not controlled by Alibaba
Login form collecting email and password on an attacker-controlled host
Copied legal/ICP footer text designed to mimic the genuine Alibaba login page
Single-source phishing threat-intel match on the primary domain
Instant-publish hosting platform subdomain with unknown page age
Domain age information unavailable

Details

Page Title

Manufacturer Directory - Suppliers, Manufacturers, Exporters & Importers

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'linkdntest.vercel.app' is registered, featuring subdomain 'linkdntest'. The registrable portion 'vercel' spans 6 characters holding two vowels versus four consonants. Breaking it apart gives two words: ver, cel. Median word length comes out to 3 characters. 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

1.77s
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
364.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.250.154.95Google · CDNUnited States
AS15169Google LLC
118.66.115.191Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
12.23.10.185Akamai · CDNPrague, Prague, Czech Republic
AS16625Akamai Technologies, Inc.
86--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16FA2A3AB69F305423903E5B83BEB6B452325D107D54AC9287FCC1348CFCA6999D62BDC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:Br+DNf9djTG+ny1dKmuffhYCdzT7oaoJw2Nt79R1hE+kE:UNf9djTGf1dtCTl76J3JR1m+j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23288:gKRBiZIIYCQCAASBj2CCWAIDBywsWuCBElgmnFMooNhxkIbEGhsRACMU25WkhxAFJIFCLcCAqAgIAzMjEcgADAIYEhtFBPEE

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