Security Scan Report: flhealthlicense.vercel.app

Redirected to:
https://flhealthlicense.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 14 IPs in 1 country across 5 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: 96%

10
Risk Score

Fake 'PDF Viewer' page impersonating Adobe that pushes a bogus Acrobat Reader installer which is really a remote-access agent; confirmed by analyst-vetted kit roster, Google Safe Browsing and multi-feed phishing intelligence.

Risk Factors (5)
Known malicious phishing kit (fake Acrobat/PDF-Viewer installer delivering a remote-management agent) identified on the page
Google Safe Browsing Social Engineering detection
Multi-feed phishing threat intelligence on the primary domain and the exact URL
Lures visitors into downloading an 'Adobe' PDF reader installer that is actually a remote-access agent
Honeypot and browser-fingerprint anti-analysis fields; noindex not set; hosted on a free Vercel subdomain with unknown creation date
Domain age information unavailable

Details

Page Title

PDF Viewer

Scan Type

public

Domain Name Analysis

The domain name 'flhealthlicense.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'flhealthlicense'. The second-level label 'vercel' is 6 characters long containing 2 vowels alongside four consonants. Splitting it apart reveals two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

DULIAL SS CONTRACT CO we tye | igwe Pee. Bate 2 oe oe wees teewe Sema? ot ~~ ae wa ore ae Cet 6 ewe Behe REM EL ONS Cee 800 ow 1 dew 20 tree Hates spe OO OED © ty Be row nh be eme eo > eh 90 wo ey...

Page Load Overview

0.54s
Total Load Time
439 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:86%

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
3216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2142.251.110.147Google · CDNUnited States
AS15169Google LLC
064.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0172.67.68.67Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.153.119Google · CDNUnited States
AS15169Google LLC
0192.178.183.99Google · CDNUnited States
AS15169Google LLC
0142.250.154.147Google · CDNUnited States
AS15169Google LLC
0216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.26.14.77Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.156.119Google · 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

T11BB5D81B8D0F56A07F3828BF4B8BA6497010F79395C39794F0DF4C9DF64AE1A264926C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:3z+EHVWfOTA3YXuT8+o7rjyHlnxXuT8+o7rbXuT8+o7rly2lnm:a5f4XS8+Q3MlnxXS8+QHXS8+Q5Rlnm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2285139:EBApiIDLAQIoAELAKQSYxAIcyFoAk4EUDMZBSWAACUcIuAFtKIYPkJUDINQcmtQEkkHj6AGSFQAwRkABkxQUUEiGALMCNIAF

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:3a003030000

Scan History

Scan history not available

Unable to load historical scan data