Security Scan Report: healthlicensefl-amber.vercel.app

Redirected to:
https://healthlicensefl-amber.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 7 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://healthlicensefl-amber.vercel.app/

Effective URL:
https://healthlicensefl-amber.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 86%

8
Risk Score

Fake PDF-viewer lure on a vercel.app subdomain uses anti-analysis JavaScript and a Telegram bot token to exfiltrate collected data; avoid interaction.

Risk Factors (5)
Telegram bot token in inline script enables data exfiltration
Anti-analysis: DevTools and right-click blocked
Hidden fingerprint/challenge fields and honeypot email collection
Cross-origin POST to ipapi.co
Deceptive fake PDF-viewer / Windows-required lure
Domain age information unavailable

Details

Page Title

PDF Viewerother network

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'healthlicensefl-amber.vercel.app' is registered with subdomain 'healthlicensefl-amber'. The registrable portion 'vercel' spans 6 characters split between two vowels and 4 consonants. Tokenizing the label suggests 2 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 http://healthlicensefl-amber.vercel.app/

Page Load Overview

75.18s
Total Load Time
N/A
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
264.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.26.15.77Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.156.119Google · CDNUnited States
AS15169Google LLC
0192.178.183.104Google · CDNUnited States
AS15169Google LLC
0142.251.14.99Google · CDNUnited States
AS15169Google LLC
0142.251.110.103Google · CDNUnited States
AS15169Google LLC
0216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
27--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13EB5D81B8D0F56A07F3828BF4B8BA6497010F79395C39794F0DF4C9DF64AE1A264926C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:jz+EHVWfOTn3YXuT8+o7rjyHlnxXuT8+o7rHXuT8+o7rly2lnm:e5f5XS8+Q3MlnxXS8+QrXS8+Q5Rlnm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2285124:CKGiXAQTAewBHoFgwLpAAggEXgAIoBRGBMgBXgSYUEQWB3SFgiEAwT9CjjwEJKSFOAxoUYogQlICRbmIYgLymxwDy4JxgUSA

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:989c9c9c9c9c1c1c
Perceptual Hash:9e7f217f65216700
Difference Hash:313139313939b9b1
Wavelet Hash:9d9c9c9c9c9c1c1d
Color Hash:#b7bf40

Scan History

Scan history not available

Unable to load historical scan data