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: 92%

9
Risk Score

Fake Alibaba sign-in on a Vercel subdomain: Alibaba favicon, branding and copyright footer with an email/password login form harvesting credentials. Do not enter any login details.

Risk Factors (7)
Brand impersonation of Alibaba on a non-Alibaba host (favicon + copyright footer + portal chrome)
Credential-harvesting login form (email + password) disguised as Alibaba sign-in
Free hosting-platform subdomain with unknown creation date, typically used for throwaway phishing pages
Single-source phishing threat-intel match on the primary domain
Network IDS alerts for Vercel subdomain abuse in DNS and TLS SNI
Register link is a dead anchor ('#'), typical of cloned login pages
No ranking/reputation for the host
Domain age information unavailable

Details

Page Title

Manufacturer Directory - Suppliers, Manufacturers, Exporters & Importers

Scan Type

public

Domain Name Analysis

You're looking at domain 'linkdntest.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'linkdntest'. The second-level label 'vercel' is 6 characters long containing 2 vowels alongside 4 consonants. Breaking it apart gives 2 words: ver, cel. Average segment length settles at 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 a...

Page Load Overview

2.32s
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:60%

All Detected Languages

🇺🇸en(66%)🇨🇳zh(34%)

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
218.66.115.191Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.110.95Google · CDNUnited States
AS15169Google LLC
1142.251.110.94Google · CDNUnited States
AS15169Google LLC
123.52.182.142Akamai · CDNFrankfurt am Main, Hesse, Germany
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:072010000c0

Scan History

Scan history not available

Unable to load historical scan data