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Security Scan Report: foilboardhydrofoilsurfboardelectric.vercel.app

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Submitted: Jul 17, 2026, 2:51:39 AMCompleted: Jul 17, 2026, 2:55:33 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 2 HTTP transactions. The main domain is foilboardhydrofoilsurfboardelectric.vercel.app and was registered NaN years ago.

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

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site impersonates Meta brand on an unknown‑age Vercel subdomain, lacks credential forms, but shows high JS obfuscation, yielding moderate risk.

Risk Factors
Brand impersonation without matching domain
Unknown subdomain age on a hosting platform
Highly obfuscated JavaScript
Safety Factors
No credential or payment forms
No Indicators of Compromise matches
No malicious YARA or IDS alerts
Domain age information unavailable

Details

Page Title

User Case Workspace

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(97%)

Domain Information

Within the application-focused generic top-level domain (.app), 'foilboardhydrofoilsurfboardelectric.vercel.app' is registered, featuring subdomain 'foilboardhydrofoilsurfboardelectric'. The second-level label 'vercel' is 6 characters long split between 2 vowels and four consonants. Breaking it apart gives 2 words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://foilboardhydrofoilsurfboardelectric.vercel.app/home

Page Load Overview

3.41s
Total Load Time
67
HTTP Requests
8
Domains
555 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:5,517 chars
Detector Agreement:100%

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
19142.251.13.139Google · CDNUnited States
AS15169Google LLC
16216.198.79.3United States
AS16509Amazon.com, Inc.
16157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
16157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
674--

Detected Technologies5

Open-Graph-Protocolvarticle
100%
Google-AnalyticsvUniversal
100%
Arkose Labs
45%
Vercel
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T108246C06A166CC3348971BCDD4B7341A6B3E1307C6651A82FA7D9BE80B9EE7C17A3194

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:ub88+edmzpYMsFu/iXNsnNhCQZ91I82HCehJ4T:Sr+dNhCS91IdHCehJK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:229820:ZjBBggDFgoumQRtRCDzKhd00+QGAYIoNSQAA9goCoSIJcEpIRybTAAwWREMoICJE5IKuCEQZVeRMooUBwhVUbYNCoiR4hBkJ

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:#931f61

Other Hashes

Crop Resistant:5633232e2f332f0e

Scan History

Scan history not available

Unable to load historical scan data