Security Scan Report: www.fllicensehealthpdf-viewer.vercel.app

Redirected to:
https://fllicensehealthpdf-viewer.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 15 IPs in 1 country across 9 domains to perform 14 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://www.fllicensehealthpdf-viewer.vercel.app/

Effective URL:
https://fllicensehealthpdf-viewer.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 65%

7
Risk Score

Fake PDF-viewer page prompting an 'Adobe Reader update' while hiding behind a Windows-only gate and honeypot/challenge fields — a textbook download-lure on a throwaway Vercel subdomain. No credentials or payload confirmed, but do not interact.

Risk Factors (6)
Fake Adobe PDF Reader update / download prompt on a non-Adobe domain
Windows-only content gate consistent with cloaking to evade scanners
Honeypot and browser-fingerprint/ challenge token fields typical of phishing-kit landing pages
Impersonates a state 'FL license/health' document service on a throwaway hosting subdomain
'View Files' action offered with no legitimate document source or viewer
Zero genuine legitimacy signals (no address, phone, legal pages, real content)
Domain age information unavailable

Details

Page Title

PDF Viewer

Scan Type

public

Domain Name Analysis

Domain 'www.fllicensehealthpdf-viewer.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'www.fllicensehealthpdf-viewer'. The core label 'vercel' covers 6 characters split between two vowels and 4 consonants. Breaking it apart gives 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.fllicensehealthpdf-viewer.vercel.app/

Page Load Overview

3.31s
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:100%

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
14216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.26.15.77Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.157.119Google · CDNUnited States
AS15169Google LLC
0142.250.154.105Google · CDNUnited States
AS15169Google LLC
0142.251.20.106Google · CDNUnited States
AS15169Google LLC
0142.250.154.99Google · CDNUnited States
AS15169Google LLC
064.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0142.251.154.119Google · CDNUnited States
AS15169Google LLC
1415--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CF95961B8E0F96A06B3828BF5787E6497010F79399C3A7A4F0DE4C4DF746E19264D26C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:jz+EHVWfOTA3IXuT8+o7rfyHlnayVXuT8+o7rly2lnm:e5foXS8+QTMlnaWXS8+Q5Rlnm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2037815:iEiqgBgAZsQhCSoEkGZK5RrShgOKSChIoaJwMmhHAIigFwAB2mYAV2AgsQMBEWOY/RUUOuITeEKBkAEhAMgIEQDwOCLMFMgl

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:988484849c9c1c1c
Perceptual Hash:da7701dd6d216788
Difference Hash:313d0d3d3939b1b1
Wavelet Hash:9d9c849c9c9c1d1d
Color Hash:#77862d

Scan History

Scan history not available

Unable to load historical scan data