Security Scan Report: flhealthlicense-three.vercel.app

Submitted: Completed: publiccompleted
This website contacted 15 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://flhealthlicense-three.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 85%

9
Risk Score

Fake 'PDF Viewer' on a throwaway Vercel subdomain that gates on Windows, ships a PE executable download flagged CRITICAL by IDS, uses anti-debugging, and carries a Telegram bot token for exfiltration — malware distribution, not a document viewer.

Risk Factors (7)
Telegram bot token embedded in inline JavaScript for data exfiltration
CRITICAL IDS alert for PE EXE/DLL Windows executable download over HTTP
Packed executable download and IsDebuggerPresent anti-debugging alerts
Remote monitoring/management (ScreenConnect) domains contacted
Deceptive content: 'PDF Viewer' branding with OS-gating and Adobe/Chrome/Edge/Firefox download lures
Anti-analysis hidden fields (browser-fingerprint, challenge-timestamp) and honeypot decoys
Free hosting subdomain with unknown true creation date and no domain ranking
Domain age information unavailable

Details

Page Title

PDF Viewer

Scan Type

public

Domain Name Analysis

The domain 'flhealthlicense-three.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'flhealthlicense-three'. The registrable portion 'vercel' spans 6 characters holding two vowels versus 4 consonants. Splitting it apart reveals two words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://flhealthlicense-three.vercel.app/

Page Load Overview

1.51s
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.
064.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.26.14.77Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.150.119Google · CDNUnited States
AS15169Google LLC
0142.251.110.147Google · CDNUnited States
AS15169Google LLC
0142.251.110.106Google · CDNUnited States
AS15169Google LLC
0192.178.183.104Google · CDNUnited States
AS15169Google LLC
0216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0142.251.154.119Google · CDNUnited States
AS15169Google LLC
0142.251.151.119Google · CDNUnited States
AS15169Google LLC
1315--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T143B5B61B8E0F56A07F3828BF5787A6497010F79395C3A794F0DF4C8DF64AE1A264926C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:3z+EHVWfOTA38XuT8+o7rfyHlnxXuT8+o7rLyVXuT8+o7rly2lnm:a5fcXS8+QTMlnxXS8+QXWXS8+Q5Rlnm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2415480:eIEoEICBsYqQwSYISoCEgAlFEOkwiAXnQZDDSWAqKICORyEgWQQmBdUAg0bPyyWQDRjEoJREyLgCUSgABsEUB4LdEJQEKQEV

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:#2d43d2

Scan History

Scan history not available

Unable to load historical scan data