Security Scan Report: www.floridahealth-plum.vercel.app

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

Submitted URL: http://www.floridahealth-plum.vercel.app/

Effective URL:
https://floridahealth-plum.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Fake Windows-only PDF viewer on free vercel hosting with a Telegram bot token in its script, honeypot/cloaking fields and a bogus Adobe Reader update lure — a malware-delivery page. Avoid.

Risk Factors (6)
Telegram bot token embedded in page script indicates a ready-made exfiltration/command channel
Windows-only gate plus bogus Adobe Reader update prompt is a standard malware/tech-support lure pattern
Honeypot and hidden fingerprint/challenge fields show deliberate anti-scanner cloaking
Free instant-publish hosting subdomain with no ranking and no attributable age
Multiple cross-domain redirects before landing on the final page
Near-zero legitimacy signals (5/100) and no verifiable business identity
Domain age information unavailable

Details

Page Title

PDF Viewer

Scan Type

public

Domain Name Analysis

The domain 'www.floridahealth-plum.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'www.floridahealth-plum'. Count 6 characters in 'vercel' containing 2 vowels alongside four consonants. It segments into two words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.floridahealth-plum.vercel.app/

Page Load Overview

6.76s
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
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.15.77Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.153.119Google · CDNUnited States
AS15169Google LLC
1142.251.110.99Google · CDNUnited States
AS15169Google LLC
1142.251.110.104Google · CDNUnited States
AS15169Google LLC
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1172.67.68.67Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1414--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FCA5971B8E0F96A06B3928BF5787E6457010F78398C7A7A4B0EE4C4DF646E1D264D36C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:3z+EHVWfOTA38XuT8+o7rjyNlnayglnTXuT8+o7rly2lnm:a5fcXS8+Q3Ulna1lnTXS8+Q5Rlnm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2236468:FEGkaEYINwMVCUhHV0MIKqAJEEEBuYjgdE+MDkqIiAgtCNArASCAmJWAREC0EVL0RlEaAA0AIQmCaMOcEEwEAhKYjKqmkBBA

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:#e06cd8

Scan History

Scan history not available

Unable to load historical scan data