Security Scan Report: foilboardhydrofoilsurfboardelectric.vercel.app

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Submitted: Jul 10, 2026, 12:51:39 AMCompleted: Jul 10, 2026, 12:53:58 AMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 8 domains to perform 73 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%

4
Risk Score

The site shows brand references and high JS obfuscation but lacks credential forms or clear malicious behavior; treat as moderate risk.

Risk Factors
Unknown subdomain age on a hosting platform
Unranked domain with no reputation
High JavaScript obfuscation score
Critical IDS alert indicating possible phishing activity
Brand name (Meta) present on a mismatched domain
Safety Factors
No credential or payment forms detected
Page type is article, indicating informational content
No cross‑origin credential exfiltration observed
No JavaScript malware YARA matches
Domain age information unavailable

Details

Page Title

User Case Workspace

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(97%)

Domain Information

The domain 'foilboardhydrofoilsurfboardelectric.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'foilboardhydrofoilsurfboardelectric'. Count 6 characters in 'vercel' with two vowels and 4 consonants. It segments into 2 words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

8.49s
Total Load Time
73
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:5,507 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
9216.198.79.131United States
AS16509Amazon.com, Inc.
864.29.17.131United States
AS16509Amazon.com, Inc.
8157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
8142.251.13.94Google · CDNUnited States
AS15169Google LLC
8142.251.14.138Google · CDNUnited States
AS15169Google LLC
8142.251.110.94Google · CDNUnited States
AS15169Google LLC
8157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
8216.239.34.223Google · CDNUnited States
AS15169Google LLC
8142.251.127.95Google · CDNUnited States
AS15169Google LLC
739--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T113246C06A166CC3348971BCDD4B7341A6B3E1307C6651AC2FA7D9BE80B9EE7C17A3194

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:uK8b+ZdmzpYMsFu/iXNsn9hCQZ91I82HCehJ4T:X0+k9hCS91IdHCehJK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:229810:dygLSOCKQg1CJeQorIEnBBTEpEAwyBQagUQAgkORwWFRmAJGULyItuAweKDpBIsQaSCoAQlCDO7QEoDAlaACJQKsAUgDawgM

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:#783a4a

Other Hashes

Crop Resistant:5633232e2f332f0e

Scan History

Scan history not available

Unable to load historical scan data