Security Scan Report: floridahealth-gamma.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: https://floridahealth-gamma.vercel.app/

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake 'PDF Viewer' on a vercel.app subdomain with a Windows-only gate, fingerprinting/honeypot fields and a Telegram bot token in its own script — a malware-lure page with a live exfiltration channel. Do not click through.

Risk Factors (7)
Embedded Telegram bot token in inline script (data exfiltration channel)
Fake PDF viewer / Windows-only lure with 'View Files' click-through
Hidden browser-fingerprint, challenge-timestamp and dynamic-token fields (anti-analysis / bot gating)
Honeypot form fields present despite page claiming to be a simple viewer
Encoding/decoding functions in inline JavaScript
Four cross-domain redirects to reach the page
Fresh, unranked vercel.app tenant subdomain with no legitimacy signals (5/100)
Domain age information unavailable

Details

Page Title

PDF Viewer

Scan Type

public

Domain Name Analysis

Domain 'floridahealth-gamma.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'floridahealth-gamma'. The second-level label 'vercel' is 6 characters long containing 2 vowels alongside four consonants. Tokenizing the label suggests two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://floridahealth-gamma.vercel.app/

Page Load Overview

1.41s
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
13216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.26.15.77Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.155.119Google · CDNUnited States
AS15169Google LLC
0192.178.183.99Google · CDNUnited States
AS15169Google LLC
0142.251.13.105Google · CDNUnited States
AS15169Google LLC
0142.251.110.99Google · CDNUnited States
AS15169Google LLC
0216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.26.14.77Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1314--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11BB5D81B8D0F56A07F3828BF4B8BA6497010F79395C39794F0DF4C9DF64AE1A264926C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:3z+EHVWfOTA3YXuT8+o7rjyHlnxXuT8+o7rbXuT8+o7rly2lnm:a5f4XS8+Q3MlnxXS8+QHXS8+Q5Rlnm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2285139:EBApiIDLAQIoAELAKQSYxAIcyFoAk4EUDMZBSWAACUcIuAFtKIYPkJUDINQcmtQEkkHj6AGSFQAwRkABkxQUUEiGALMCNIAF

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:#87a7c5

Scan History

Scan history not available

Unable to load historical scan data