Security Scan Report: googp.vercel.app

Submitted: Jul 25, 2026, 10:51:47 AMCompleted: Jul 25, 2026, 10:53:06 AMpubliccompleted

Summary

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

Submitted URL: https://googp.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

(76%)

Domain Information

The domain name 'googp.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'googp'. The registrable portion 'vercel' spans 6 characters holding two vowels versus 4 consonants. Word splitting yields 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://googp.vercel.app/

Page Load Overview

0.16s
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 technical76% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
76%
government public service
42%
cryptocurrency blockchain
36%
technology software
33%
healthcare medical
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.195United States
AS16509Amazon.com, Inc.
21--

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

T18D81A4377B69211AF333C89FA0C26B993000A121D1ABDAB9FF579F15D5CA1251E0278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGR6Z9qGNGDY7nnr9YN6yhcCJd1XfBA3ILreuoi0Z1nde2ORegwDMWNW0eNMr/Jv:TGRe91n5O6Yp63XKk1Vr3hrRkM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3849:BAAQQQSAIAAygGSABIQEEBBACgiAAIDABAIUwAAAkgcCCUGAgECAEAAAEABKIAEggCDBoQOEcQwAEAAICFEA5AAJAAkACKwA

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:0f0f3f03c0c0fcfc
Color Hash:#1f2d93

Other Hashes

Crop Resistant:000000181e040000

Scan History

Scan history not available

Unable to load historical scan data