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Security Scan Report: metachat-backend-jjn2wwcp6e.edgeone.app

Redirected to: https://metachat-backend-jjn2wwcp6e.edgeone.app/#/

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Submitted: Mar 6, 2026, 3:57:49 PMCompleted: Mar 6, 2026, 3:59:08 PMpubliccompleted
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Summary

This website contacted 8 IPs in 3 countries across 9 domains to perform 1 HTTP transaction. The main domain is metachat-backend-jjn2wwcp6e.edgeone.app and was registered NaN years ago.

Submitted URL: https://metachat-backend-jjn2wwcp6e.edgeone.app/

Effective URL: https://metachat-backend-jjn2wwcp6e.edgeone.app/#/Redirected

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 400 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

MetaChat - Your ultimate one-stop AIGC platform

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

government public service

(98%)

Domain Information

Domain 'metachat-backend-jjn2wwcp6e.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'metachat-backend-jjn2wwcp6e'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. It segments into 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://metachat-backend-jjn2wwcp6e.edgeone.app/

Page Load Overview

3.25s
Total Load Time
54
HTTP Requests
16
Domains
2.1 MB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

Language Code:zh
Detection Confidence:60%
Script Type:Han
HTML Lang Attribute:zh-CN
Text Length:3,086 chars
Detector Agreement:80%

Website Classification

Primary Category

government public service98% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
98%
education learning
98%
technology software
98%
documentation technical
97%
social media network
97%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12146.75.120.176Japan
AS15169
6104.26.3.26United States
AS13335Cloudflare, Inc.
618.177.176.86Singapore
AS139341
6104.16.175.226United States
AS13335Cloudflare, Inc.
6142.250.186.74Unknown
AS16509
6172.64.153.110United States
AS13335Cloudflare, Inc.
643.152.26.58Singapore
AS139341ACE
652.195.117.188Tokyo, Tokyo, Japan
AS16509Amazon.com, Inc.
548--

Detected Technologies4

Open-Graph-Protocolvwebsite
100%
Stripe
35%
Vue.js
30%
Chatway
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14A5354BD6750D3B8AEE3C3FD9B67A0A4A05F94DEC6E3C79463E5C15052C61E4E20E881

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:nv4VdA2AQRfRG16aEWFkFBFqFFTe5yRvEYwYuEAOH5O4udEJqMz+WRT0fUWk6aM1:nvVGPwcyRvnLLZUdEJqMz+MwfUNlMVb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:62323:UAgWQEUxUqowIUTQLYICWgQhhEg5AhMRWEhKQCJfJqQBwIUihAgyv0QwDxSuDQWEKCDIggCIALiQLoAOYoQ2YUIIgFuCUYQa

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:0000001818000000
Perceptual Hash:cc663399cc663399
Difference Hash:001048b432481000
Wavelet Hash:0f0f3f3f3c3c3030
Color Hash:#2dd24e

Other Hashes

Crop Resistant:e353b1a1c2e4c4cd,001048b432481000

Scan History

Scan history not available

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