Security Scan Report: goojp.vercel.app

Submitted: Jul 10, 2026, 8:51:38 PMCompleted: Jul 10, 2026, 8:52:58 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is goojp.vercel.app and was registered NaN years ago.

Submitted URL: https://goojp.vercel.app/

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

404: NOT_FOUND

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(78%)

Domain Information

The domain name 'goojp.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'goojp'. Its registrable label 'vercel' stretches across 6 characters containing 2 vowels alongside four consonants. Splitting it apart reveals two 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://goojp.vercel.app/

Page Load Overview

0.30s
Total Load Time
2
HTTP Requests
1
Domains
0 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:198 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical78% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
78%
government public service
44%
cryptocurrency blockchain
34%
healthcare medical
31%
technology software
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.3United States
AS16509Amazon.com, Inc.
164.29.17.3United States
AS16509Amazon.com, Inc.
22--

Page Statistics

2
Requests
1
Unique Domains
2.0 KB
Total Size

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15081B5377B69211AF333C89FB0C2AB993000A121D16BDAB5FF579F25D5CA1651E0278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGR6Z9qGNGDY7nnr9YN6yhcCJd1XfBA3ILreuoi0Z1nde2ORegwDMWNW0eNM1I/J:nGRe91n5O6Yp63XKk1Vr3hGRkM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3834:JJAAAQHBFQECECSAACAAJAAIAaAAgAQSCBAmiqMhAQAIAMAqAgEQISAQAAAEEEKBCNQEEAASAggAAQICgCkABAAICAFIgEgA

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:ffffffcfc3c3ffff
Perceptual Hash:b199ce663199cc66
Difference Hash:000000181e040000
Wavelet Hash:f0f0fcc0c0c0fcfc
Color Hash:#5359ac

Other Hashes

Crop Resistant:000000181e040000

Scan History

Scan history not available

Unable to load historical scan data