Security Scan Report: healthlicense-blond.vercel.app

Redirected to:
https://healthlicense-blond.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 14 IPs in 1 country across 6 domains to perform 13 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://healthlicense-blond.vercel.app/

Effective URL:
https://healthlicense-blond.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Fake PDF-viewer page masquerading as Adobe, identified by a vetted kit roster and hunting rule as a lure that installs a remote-access agent; corroborated by phishing threat intelligence. Do not download or run anything.

Risk Factors (6)
Known malicious fake PDF-viewer / fake Acrobat Reader installer kit (remote-access agent deployment)
hunting rule matching a documented phishing kit family
Multi-source phishing threat-intelligence match on the primary domain
Free hosting-platform subdomain (vercel.app) with unknown creation date used as malware delivery front
OS-gating (Windows-desktop-only) plus 'install reader to view' social-engineering prompt
Inline scripts contain encoding/decoding functions and hidden fingerprint/challenge/honeypot fields
Domain age information unavailable

Details

Page Title

PDF Viewer

Scan Type

public

Domain Name Analysis

The domain 'healthlicense-blond.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'healthlicense-blond'. The core label 'vercel' covers 6 characters split between 2 vowels and four consonants. Word splitting yields 2 words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

These secured PDF files were created using the latest version of Adobe. Please update or download Adobe PDF Reader to view them. View Files

Page Load Overview

1.31s
Total Load Time
440 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:943 chars
Detector Agreement:86%

Website Classification

Primary Category

technology software84% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
72%
corporate business
57%
entertainment media
39%
adult content
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.110.103Google · CDNUnited States
AS15169Google LLC
0216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.26.15.77Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.157.119Google · CDNUnited States
AS15169Google LLC
0142.251.13.104Google · CDNUnited States
AS15169Google LLC
064.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.26.14.77Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.152.119Google · CDNUnited States
AS15169Google LLC
0142.251.155.119Google · CDNUnited States
AS15169Google LLC
1314--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T166B5D81B8D0F56A07F3828BF4B8BA6497010F79395C39794F0DF4C9DF64AE1A264926C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:3z+EHVWfOTA3BXuT8+o7rjyHlnxXuT8+o7rbXuT8+o7rly2lnm:a5fhXS8+Q3MlnxXS8+QHXS8+Q5Rlnm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2285142:T9VS5N2yAAAQzAEgJnJHYAwEgOAPERLc6gFIgqsCugCALLcKEDmxoQgoBBEABCEmEoUwAjCRARMq5crgJQHAYJATAEyMjwAJ

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:9c8484849c9c1c1c
Perceptual Hash:9e7709dd4d256f00
Difference Hash:313d0d3d3931b9b1
Wavelet Hash:9d9c84949c9c1d1d
Color Hash:3a003030000

Scan History

Scan history not available

Unable to load historical scan data