Security Scan Report: foilboardhydrofoilsurfboardelectric.vercel.app

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Submitted: Sep 25, 2026, 1:50:28 PMCompleted: Sep 25, 2026, 1:51:56 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Fake Meta account/copyright appeal on unrelated vercel.app subdomain, reported phishing; brand impersonation and urgent 24h deadline. Avoid and report.

Risk Factors (6)
Brand impersonation of Meta on an unrelated domain
Single-source phishing Indicators of Compromise match on the primary domain
Urgent 24-hour account suspension/deletion threat
Hosted on an abused cloud hosting platform according to network IDS
Meta tags claim 'Meta for Business' while the domain does not belong to Meta
Unknown subdomain creation age on vercel.app shared hosting
Domain age information unavailable

Details

Page Title

User Case Workspace

Scan Type

public

Domain Name Analysis

The domain 'foilboardhydrofoilsurfboardelectric.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'foilboardhydrofoilsurfboardelectric'. Its registrable label 'vercel' stretches across 6 characters with two vowels and 4 consonants. Splitting it apart reveals 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

3.94s
Total Load Time
770 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%

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
1564.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
6157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6142.250.154.139Google · CDNUnited States
AS15169Google LLC
6157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6142.251.127.94Google · CDNUnited States
AS15169Google LLC
6142.251.14.95Google · CDNUnited States
AS15169Google LLC
6142.251.14.94Google · CDNUnited States
AS15169Google LLC
6216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
6142.250.154.138Google · CDNUnited States
AS15169Google LLC
6172.217.113.4Google · CDNUnited States
AS15169Google LLC
6910--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BC246C06A126CC3388971BCDD4B7341A5B7E1307CB651A82FA7D9BE80B9EE7C1793194

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:aA88+edmzpYMsFu/iXNsnDhCQZ91I82HCehJ4Z:Hr+dDhCS91IdHCehJi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:229645:ZIoZVRCVygwHCASCgwSEjhsAjhOA8gBNBA2gsGDSAhujvXFa5Iol0VKU1AEtUNDBEsAFCCNAgMoUM5oAMhAZDBQABAdPCRU2

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:#537bac

Other Hashes

Crop Resistant:5633232e2f332f0e

Scan History

Scan history not available

Unable to load historical scan data