Security Scan Report: foilboardhydrofoilsurfboardelectric.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 12 IPs in 2 countries across 8 domains to perform 68 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://foilboardhydrofoilsurfboardelectric.vercel.app/home

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Fake Meta/Facebook 'Terms of Service violation / 24-hour appeal' notice on a keyword-stuffed vercel.app subdomain, mirroring Facebook assets. Brand impersonation plus a phishing threat-intel hit; do not interact.

Risk Factors (5)
Brand impersonation of Meta on a non-Meta, unranked hosting-platform subdomain
Fake 'account disabled / appeal within 24 hours' notice pressuring victims to act
Single-source phishing threat-intel match on the scanned domain
Mirrored-site construction (Facebook CDN styling) with no official affiliation
Unranked domain, subdomain creation date unknown on shared hosting platform
Domain age information unavailable

Details

Page Title

User Case Workspace

Scan Type

public

Domain Name Analysis

You're looking at domain 'foilboardhydrofoilsurfboardelectric.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'foilboardhydrofoilsurfboardelectric'. The second-level label 'vercel' is 6 characters long split between 2 vowels and four consonants. Splitting it apart reveals 2 words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Meta aS Non-compliance with the Terms of : Service Technology and review teams help Meta detect and review potentially violating content and accounts. © Ad account Disabled? Here's how you can ge...

Page Load Overview

2.30s
Total Load Time
781 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:5,517 chars
Detector Agreement:100%

All Detected Languages

🇺🇸en(90%)🇩🇪de(8%)🇪🇸es(1%)🇩🇰da(1%)

Website Classification

Primary Category

social media network97% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
97%
technology software
92%
documentation technical
90%
government public service
88%
blog personal website
86%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
31157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2864.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
5216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
5142.251.14.139Google · CDNUnited States
AS15169Google LLC
5142.251.155.120Google · CDNUnited States
AS15169Google LLC
5142.251.127.95Google · CDNUnited States
AS15169Google LLC
5142.251.14.102Google · CDNUnited States
AS15169Google LLC
5142.251.154.120Google · CDNUnited States
AS15169Google LLC
5172.217.117.4Google · CDNUnited States
AS15169Google LLC
3142.251.151.120Google · CDNUnited States
AS15169Google LLC
6812--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BD246C06A166CC3348971BCDD4B7341A6B3E1307C6651A82FA7D9BE80B9EE7C17A3194

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:ux88+edmzpYMsFu/iXNsnNhCQZ91I82HCehJ4T:Cr+dNhCS91IdHCehJK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:229791:AACARRgogAwSGACr4BqS6hEvjLlQAHpEC9qIIBbAAQmAhGDwGYCNJR1TYgEx8Os0iCQwGykUQQEBAMswQAAZYhE0RsAxBJEl

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:b30101ffdfdfefe7
Perceptual Hash:ed4dc79292924d63
Difference Hash:5633232e2f332f0e
Wavelet Hash:02000087dfcfffe7
Color Hash:07206008000

Other Hashes

Crop Resistant:5633232e2f332f0e

Scan History

Scan history not available

Unable to load historical scan data