Security Scan Report: goojp.vercel.app

Submitted: Jul 3, 2026, 7:52:21 PMCompleted: Jul 3, 2026, 7:54:03 PMpubliccompleted
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Summary

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

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

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

No malicious activity detected; the site appears legitimate with low risk.

Risk Factors
Subdomain on a hosting platform with unknown creation date
Safety Factors
Self‑branding (no brand impersonation)
Absence of credential or payment collection
No malicious JavaScript behavior
No external malicious links or resources
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(81%)

Domain Information

You're looking at domain 'goojp.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'goojp'. Its registrable label 'vercel' stretches across 6 characters containing 2 vowels alongside 4 consonants. Segmentation suggests 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://goojp.vercel.app/

Page Load Overview

8.10s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:744 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software81% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
81%
documentation technical
57%
adult content
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.3United States
AS16509Amazon.com, Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12A8193377B69211AF333C89FB1C26B993010A121D1ABDAB9FF579F25D5CA1251E0278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGR6Z9qGNGDY7nnr9YN6yhcCJd1XfBA3ILreuoi0Z1nde2ORegwDMWNW0eNMw/Jv:TGRe91n5O6Yp63XKk1Vr3hwRkM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3849:BAAQQQSAIAAygmSABIQEEBBACgiAAIDAAAIUwAAAkgcCCMGAgECAEAAAEABKIAEggCDBoQOEcQwEEAAICFEA5AQJAAkACKwA

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:ffffffc300003030
Color Hash:#d2772d

Other Hashes

Crop Resistant:000000181e040000

Scan History

Scan history not available

Unable to load historical scan data