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

Redirected to:
https://browardpdf-viewer.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 14 IPs in 1 country across 10 domains to perform 14 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://www.browardpdf-viewer.vercel.app/

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

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Fake 'secured PDF viewer' on a vercel.app subdomain flagged for phishing: it OS-gates visitors and pushes an 'Adobe PDF Reader' download while hiding anti-bot honeypots — a classic malware-delivery lure. Not a verified document viewer.

Risk Factors (6)
Phishing indicator on the scanned primary domain (openphish.com, single-source)
Fake PDF/document viewer claiming files need 'Adobe PDF Reader' and a Windows desktop to open
OS-gating + instruction to install software is a common malware-delivery funnel
Honeypot and client-fingerprinting hidden fields used to screen out scanners and automated analysis
Telegram API network traffic observed during the session (possible beacon/C2 channel)
Unknown-age subdomain on a shared hosting platform, unranked domain
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.browardpdf-viewer.vercel.app' is registered with subdomain 'www.browardpdf-viewer'. The core label 'vercel' covers 6 characters with 2 vowels and 4 consonants. Segmentation suggests 2 words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.browardpdf-viewer.vercel.app/

Page Load Overview

1.50s
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
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.15.77Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.151.119Google · CDNUnited States
AS15169Google LLC
1142.251.20.147Google · CDNUnited States
AS15169Google LLC
1142.251.14.103Google · CDNUnited States
AS15169Google LLC
1142.251.110.103Google · CDNUnited States
AS15169Google LLC
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1172.67.68.67Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1414--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T144B5D81B8D0F56A07F3828BF4B8BA6497010F79395C39794F0DF4C9DF64AE1A264926C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:jz+EHVWfOTn3uXuT8+o7rjyHlnxXuT8+o7rHXuT8+o7rly2lnm:e5flXS8+Q3MlnxXS8+QrXS8+Q5Rlnm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2285119:wGkAURhAExMTOAw1BeKCAAYCEgU6tIXCxKWAgjIYAFgQhEneBLmIGAAAikpAEADEfANBCmBC4YHQACIggACipnD6YhrAJQUE

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:9c9c9c9c9c9c1c1c
Perceptual Hash:9e7f217f65216700
Difference Hash:313131313131b9b1
Wavelet Hash:9d9c9c9c9c9c1c1d
Color Hash:#77862d

Scan History

Scan history not available

Unable to load historical scan data