Security Scan Report: 6788765.vercel.app

Redirected to:
https://567325713549152213.netlify.app//
Submitted: Jul 5, 2026, 10:52:03 PMCompleted: Jul 5, 2026, 10:53:23 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is 567325713549152213.netlify.app and was registered NaN years ago.

Submitted URL: https://6788765.vercel.app

Effective URL: https://567325713549152213.netlify.app//Redirected

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Site not found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(26%)

Domain Information

You're looking at domain '6788765.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain '6788765'. Its registrable label 'vercel' stretches across 6 characters containing 2 vowels alongside 4 consonants. Word splitting yields 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://6788765.vercel.app

Page Load Overview

0.43s
Total Load Time
4
HTTP Requests
2
Domains
4 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:312 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical26% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
235.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
264.29.17.195United States
AS16509Amazon.com, Inc.
42--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1856162A9C41A203F6D97681F13A4CA4D60297607DD9147D8FFEA53ACD2DBAF305D2438

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoXH:nGHwyA2qlRYZJ3RoXI7+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3212:AAQAQAZSIAEAACEBIACEICAAAIAAAQQJwAggRAAQACYAICEEgAAWABAAIAQQAAAgACAAAQgAAAAAAAEMsAgBAAAAAMQACECC

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:ffffe7e7e7e7ffff
Perceptual Hash:b324cc9b336c9933
Difference Hash:0000080c0c080000
Wavelet Hash:3f3f272704040000
Color Hash:#bf404d

Other Hashes

Crop Resistant:0000080c0c080000

Scan History

Scan history not available

Unable to load historical scan data