Security Scan Report: flhealthlicense-nu.vercel.app

Submitted: Completed: publiccompleted
This website contacted 14 IPs in 1 country across 7 domains to perform 12 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://flhealthlicense-nu.vercel.app/

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Fake 'PDF Viewer' on a free vercel.app subdomain uses a Windows-only gate and Adobe lure to push a PE download; page script carries a Telegram bot token and IDS logged a critical executable download plus ScreenConnect RMM lookups — malicious lure infrastructure, avoid.

Risk Factors (8)
Telegram bot token embedded in page script enabling data exfiltration
Critical network alert for Windows PE executable download from the page
Remote-access/RMM tool (ScreenConnect) lookups recorded by IDS
Anti-debug and packed-executable download signatures
Deceptive fake PDF viewer requiring Windows to proceed
Honeypot and browser-fingerprint fields indicating bot/analyst evasion
Free hosting-platform subdomain (vercel.app) with unknown creation date and no reputation
Four cross-domain redirects to reach the final destination
Domain age information unavailable

Details

Page Title

PDF Viewer

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'flhealthlicense-nu.vercel.app' is registered; it also runs on subdomain 'flhealthlicense-nu'. The second-level label 'vercel' is 6 characters long split between two vowels and 4 consonants. Word splitting yields 2 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 https://flhealthlicense-nu.vercel.app/

Page Load Overview

0.60s
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
1264.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.26.15.77Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.156.119Google · CDNUnited States
AS15169Google LLC
0192.178.183.105Google · CDNUnited States
AS15169Google LLC
0142.250.154.99Google · CDNUnited States
AS15169Google LLC
064.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0142.251.151.119Google · CDNUnited States
AS15169Google LLC
0142.251.155.119Google · CDNUnited States
AS15169Google LLC
0142.251.153.119Google · CDNUnited States
AS15169Google LLC
1214--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T153B5B61B8E0F56A07F3828BF5787A6497010F79395C3A794F0DF4C8DF64AE1A264926C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:3z+EHVWfOTA3rXuT8+o7rfyHlnxXuT8+o7rLyVXuT8+o7rly2lnm:a5fLXS8+QTMlnxXS8+QXWXS8+Q5Rlnm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2415483:JCiAtJYiTCAYTMAgBIponNl4ArEBgEAZRMG0EggBAViIWIVEaIKFgEQlBcIQQYsABkDQQAkRbGtQAWMlz5gAMJiAQQhSkzgj

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:#6c3a78

Scan History

Scan history not available

Unable to load historical scan data