Security Scan Report: floridahelath-theta.vercel.app

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

Submitted URL: https://floridahelath-theta.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Fake 'PDF Viewer' page on a throwaway vercel.app subdomain uses Adobe Acrobat branding to push a remote-access agent (ScreenConnect); analyst-vetted kit match plus multi-source phishing intel and IDS RMM traffic — do not download.

Risk Factors (6)
Known malicious phishing kit identified by analyst-vetted roster (fake Acrobat PDF-viewer RMM installer)
Multi-source threat-intelligence phishing match against the primary domain
IDS telemetry showing ScreenConnect/ConnectWise remote-management traffic (the kit's payload channel)
Impersonation of Adobe Acrobat Reader branding/instructions to induce an installer download
Instant-publish .vercel.app subdomain with unknown actual creation date and no domain reputation
Honeypot and browser-fingerprint hidden fields indicating a phishing kit framework
Domain age information unavailable

Details

Page Title

PDF Viewer

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'floridahelath-theta.vercel.app' is registered and includes subdomain 'floridahelath-theta'. The registrable portion 'vercel' spans 6 characters containing 2 vowels alongside 4 consonants. Tokenizing the label suggests 2 words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

BUSINESS CONTRACT Rowe teen & igee bem. sade oe me Leekd Crewe Renee ot a me we one Cre Cet owes tatmer SE Ee ONY Cm nee 60 on 9 ew 08 kote Mote eqee emma eds © te WP rem hte owe we Peet 95 e000: Bb...

Page Load Overview

0.55s
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: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
464.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2142.251.14.104Google · CDNUnited States
AS15169Google LLC
064.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0172.67.68.67Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.153.119Google · CDNUnited States
AS15169Google LLC
0192.178.183.106Google · CDNUnited States
AS15169Google LLC
0142.251.110.99Google · CDNUnited States
AS15169Google LLC
0216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.26.14.77Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.154.119Google · CDNUnited States
AS15169Google LLC
1314--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T166B5D81B8D0F56A07F3828BF4B8BA6497010F79395C39794F0DF4C9DF64AE1A264926C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:3z+EHVWfOTA3BXuT8+o7rjyHlnxXuT8+o7rbXuT8+o7rly2lnm:a5fhXS8+Q3MlnxXS8+QHXS8+Q5Rlnm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2285142:T9VS5N2yAAAQzAEgJnJHYAwEgOAPERLc6gFIgqsCugCALLcKEDmxoQgoBBEABCEmEoUwAjCRARMq5crgJQHAYJATAEyMjwAJ

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