Security Scan Report: metachat-backend-eoreo72ffr.edgeone.app

Redirected to: https://metachat-backend-eoreo72ffr.edgeone.app/#/

Submitted: Mar 22, 2026, 3:25:56 AMCompleted: Mar 22, 2026, 3:27:16 AMpubliccompleted
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Summary

This website contacted 8 IPs in 4 countries across 9 domains to perform 25 HTTP transactions. The main domain is metachat-backend-eoreo72ffr.edgeone.app and was registered NaN years ago.

Submitted URL: https://metachat-backend-eoreo72ffr.edgeone.app/

Effective URL: https://metachat-backend-eoreo72ffr.edgeone.app/#/Redirected

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

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

The site appears to be a legitimate AIGC platform but is a newly created subdomain; no immediate threats detected.

Risk Factors
Subdomain on hosting platform with unknown creation date (possible new site)
Safety Factors
No malicious Indicators of Compromise detected
No forms collecting sensitive data
Meta tags consistent with a legitimate AIGC platform
Standard hosting platform (edgeone.app) without known abuse
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-eoreo72ffr.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'metachat-backend-eoreo72ffr'. Count 7 characters in 'edgeone' holding four vowels versus three consonants. Splitting it apart reveals 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://metachat-backend-eoreo72ffr.edgeone.app/

Page Load Overview

3.26s
Total Load Time
56
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
765.9.175.108Germany
7216.58.206.42Singapore
7104.26.2.26United States
AS13335Cloudflare, Inc.
7172.64.153.110United States
AS13335Cloudflare, Inc.
718.177.176.86Unknown
743.152.26.58Singapore
752.195.117.188Tokyo, Tokyo, Japan
AS16509Amazon.com, Inc.
7104.16.174.226United States
AS13335Cloudflare, Inc.
568--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C65354BD6750D3B4AEE3C3FD9B67A0A4A05F94DEC6E3C79463E5C15052C61E4E20E881

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:nvxGPwR1JyRvnLLZUdEJqMz+MwfUNlMVQ:pGPwlyRvnLLidEJqMz+MwfMlMi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:62470:AXEQCZwpLoCBShAE4DDEI1SCIINtCBGozvqBbXoMUQSM46o4CUGZirhgMHwAgIoUkQDheAFgEEamAAIwW1YAA8ElGMBhyoaI

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:#1f9193

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data