Security Scan Report: www.browardcourtpdf-viewer.vercel.app

Redirected to:
https://browardcourtpdf-viewer.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 13 IPs in 1 country across 9 domains to perform 14 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://www.browardcourtpdf-viewer.vercel.app/

Effective URL:
https://browardcourtpdf-viewer.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 72%

8
Risk Score

Fake 'secured PDF' viewer on a vercel.app subdomain posing as a court document service; pushes a bogus Adobe Reader update to Windows users with honeypot/fingerprinting and Telegram traffic — likely a tech-support/malware lure.

Risk Factors (5)
Brand impersonation of Adobe (fake 'update/download Adobe PDF Reader' prompt)
Deceptive gate restricting access to Windows desktop users only, typical of tech-support scam flows
Honeypot, browser-fingerprint and challenge-token fields indicating click/traffic filtering and anti-analysis
Free hosting subdomain styled as an official court PDF viewer with unverifiable age
Telegram API network traffic (POST) observed from the page session
Domain age information unavailable

Details

Page Title

PDF Viewer

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'www.browardcourtpdf-viewer.vercel.app' is registered and includes subdomain 'www.browardcourtpdf-viewer'. The core label 'vercel' covers 6 characters with 2 vowels and four consonants. Tokenizing the label suggests 2 words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.browardcourtpdf-viewer.vercel.app/

Page Load Overview

2.21s
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
264.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.15.77Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.151.119Google · CDNUnited States
AS15169Google LLC
1142.250.154.104Google · CDNUnited States
AS15169Google LLC
1142.251.14.103Google · CDNUnited States
AS15169Google LLC
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.156.119Google · CDNUnited States
AS15169Google LLC
1142.251.155.119Google · CDNUnited States
AS15169Google LLC
1413--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T123B5D81B8D0F56A07F3828BF4B8BA6497010F79395C39794F0DF4C9DF64AE1A264926C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:3z+EHVWfOTA3XXuT8+o7rjyHlnxXuT8+o7rbXuT8+o7rly2lnm:a5f3XS8+Q3MlnxXS8+QHXS8+Q5Rlnm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2285136:hKIMgAIAQCOWcJgnBrQiHiAqhJTBGIwlAQsGYLQQInIIABoF4+Bi+zwigGkCWRJGAkkWEkLUGIRhSEgMAAgHLOU8ZgRsRTzA

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:#6ee06c

Scan History

Scan history not available

Unable to load historical scan data