Security Scan Report: flhealthlicense-nu.vercel.app

Redirected to:
https://flhealthlicense-nu.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 17 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://flhealthlicense-nu.vercel.app/

Effective URL:
https://flhealthlicense-nu.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

9
Risk Score

Analyst-vetted fake PDF Viewer kit that impersonates Adobe and pushes a remote-access agent installer; corroborated phishing threat intel on the Vercel subdomain. Do not download anything.

Risk Factors (5)
Known malicious PDF-viewer/remote-access-agent kit identified on the page
Phishing threat-intelligence match on the primary domain from two corroborating feeds
Impersonates Adobe by claiming the files require 'Adobe PDF Reader' to open
Hosted on a free Vercel subdomain with no attributable domain age or reputation
Anti-visitor gating: content only served to Windows desktop users
Domain age information unavailable

Details

Page Title

PDF Viewer

Scan Type

public

Domain Name Analysis

The domain name 'flhealthlicense-nu.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'flhealthlicense-nu'. Its registrable label 'vercel' stretches across 6 characters containing two vowels alongside four consonants. It segments into 2 words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

BUSINESS CONTRACT Ota treet & heme bees. Saw be dae @ ~ ate swewme ttmme me y come 8 tow a doce Fate epee em sh © tgw Ep hee be bbe owes Oe eRe oes yey el bo podem cn ap ws pas Ohd @ fu bey bow de...

Page Load Overview

0.47s
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
364.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2142.251.14.104Google · CDNUnited States
AS15169Google LLC
0216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.26.14.77Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.156.119Google · CDNUnited States
AS15169Google LLC
0142.251.127.99Google · CDNUnited States
AS15169Google LLC
0142.251.14.106Google · CDNUnited States
AS15169Google LLC
0216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0172.67.68.67Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.150.119Google · CDNUnited States
AS15169Google LLC
1317--

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