Security Scan Report: www.flhealthlicense-rosy.vercel.app

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

Submitted URL: http://www.flhealthlicense-rosy.vercel.app/

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

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Fake PDF viewer on a vercel.app subdomain that gates on Windows and pushes an executable download; critical PE-download IDS alert and an embedded Telegram bot token point to malware distribution.

Risk Factors (5)
Windows-only gate and 'update Adobe PDF Reader' social engineering used to push an executable download
Critical IDS PE EXE/DLL download plus packed-executable and anti-debugging alerts
Telegram bot token embedded in inline JavaScript (exfiltration channel)
Hidden honeypot/fingerprint/challenge fields indicating a deliberately deceptive, anti-analysis kit
Hosted on an anonymous vercel.app tenant subdomain with no verifiable ownership and no domain reputation
Domain age information unavailable

Details

Page Title

PDF Viewer

Scan Type

public

Domain Name Analysis

The domain name 'www.flhealthlicense-rosy.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'www.flhealthlicense-rosy'. The second-level label 'vercel' is 6 characters long split between two vowels and 4 consonants. Tokenizing the label suggests 2 words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.flhealthlicense-rosy.vercel.app/

Page Load Overview

3.31s
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
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1172.67.68.67Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.156.119Google · CDNUnited States
AS15169Google LLC
1142.251.127.147Google · CDNUnited States
AS15169Google LLC
1142.251.127.105Google · CDNUnited States
AS15169Google LLC
1142.251.110.106Google · CDNUnited States
AS15169Google LLC
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.14.77Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.154.119Google · CDNUnited States
AS15169Google LLC
1414--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B995961B8E0F96A06B3828BF5787E6497010F79399C3A7A4F0DE4C4DF746E19264D26C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:3z+EHVWfOTA3rXuT8+o7rfyHlnayVXuT8+o7rly2lnm:a5fLXS8+QTMlnaWXS8+Q5Rlnm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2037858:iTkAAkXxEFIARCVkQKQUm9IRKQUkzAAGdhQBIFCKVUFfUAJgKQhphcAEODBhSABgEgBggAokihpWoASKYimgIohMwhLIKzan

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:#4082bf

Scan History

Scan history not available

Unable to load historical scan data