Security Scan Report: flhealthlicense.vercel.app

Redirected to:
https://flhealthlicense.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: http://flhealthlicense.vercel.app/

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

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Fake 'PDF Viewer' on a vercel.app subdomain that blocks non-Windows users and pushes an executable download; IDS flags a PE EXE download, packed payload and anti-debugging, and the page script carries a Telegram bot token for exfiltration. Malware lure — avoid.

Risk Factors (6)
Windows-only gating message used to steer victims toward an executable download
Critical IDS alert for a Windows PE EXE/DLL download from the page
Packed executable download and anti-debugging (IsDebuggerPresent) alerts
Telegram bot token embedded in page script for data exfiltration
Honeypot and fingerprint/cloaking fields to evade automated inspection
Health-license-sounding subdomain on an anonymous shared hosting platform with no verifiable owner
Domain age information unavailable

Details

Page Title

PDF Viewer

Scan Type

public

Domain Name Analysis

You're looking at domain 'flhealthlicense.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'flhealthlicense'. The registrable portion 'vercel' spans 6 characters holding 2 vowels versus four consonants. Tokenizing the label suggests 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://flhealthlicense.vercel.app/

Page Load Overview

1.26s
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
1364.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0172.67.68.67Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.154.119Google · CDNUnited States
AS15169Google LLC
0142.250.154.106Google · CDNUnited States
AS15169Google LLC
0142.251.127.105Google · CDNUnited States
AS15169Google LLC
0142.251.14.106Google · CDNUnited States
AS15169Google LLC
0216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0142.251.156.119Google · CDNUnited States
AS15169Google LLC
0142.251.150.119Google · CDNUnited States
AS15169Google LLC
1314--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D795961B8E0F96A06B3828BF5787E6497010F79399C3A7A4F0DE4C4DF746E19264D26C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:3z+EHVWfOTA38XuT8+o7rfyHlnayVXuT8+o7rly2lnm:a5fcXS8+QTMlnaWXS8+Q5Rlnm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2037855:wSSeAGOJwTDJACAQHAAAH4g1e1GFEYAVigMSXQRACUjIEi2wORlKTUACkgUNzAWoQLkEkZgVIIMJNCHAEYohkgECCZgIACwA

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:#931f3c

Scan History

Scan history not available

Unable to load historical scan data