Security Scan Report: linkdntest.vercel.app

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Submitted: Sep 26, 2026, 7:50:48 AMCompleted: Sep 26, 2026, 7:52:10 AMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

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

Risk Factors
Brand impersonation of Alibaba on an unrelated vercel.app subdomain
Credential-harvesting login form (email + password) impersonating Alibaba's sign-in page
Alibaba favicon served from a non-Alibaba host (favicon brand impersonation)
Single-source threat-intel report of phishing
Unranked, unknown-age hosting-platform subdomain
IDS alerts flagging vercel.app as an abused cloud hosting service
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; it also runs on subdomain 'linkdntest'. The registrable portion 'vercel' spans 6 characters split between two vowels and 4 consonants. It segments into two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://linkdntest.vercel.app/

Page Load Overview

3.93s
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
33%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
118.66.115.191Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1142.251.127.94Google · CDNUnited States
AS15169Google LLC
123.52.182.142Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, 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

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:#2d8652

Scan History

Scan history not available

Unable to load historical scan data