Security Scan Report: saymc-kgv4tnhort.edgeone.app

Submitted: Feb 1, 2026, 3:40:59 PMCompleted: Feb 1, 2026, 3:42:22 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is saymc-kgv4tnhort.edgeone.app and was registered NaN years ago.

Submitted URL: https://saymc-kgv4tnhort.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Established domain (>2 years old)
No credential or payment collection fields
No malicious Indicators of Compromise
Low risk category from domain age analysis
Domain age information unavailable

Details

Page Title

Saychat官方的MC服务器 - 支持与说明

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

documentation technical

(61%)

Domain Information

Within the application-focused generic top-level domain (.app), 'saymc-kgv4tnhort.edgeone.app' is registered, featuring subdomain 'saymc-kgv4tnhort'. The registrable portion 'edgeone' spans 7 characters with four vowels and 3 consonants. Breaking it apart gives two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://saymc-kgv4tnhort.edgeone.app/

Page Load Overview

5.61s
Total Load Time
3
HTTP Requests
2
Domains
6 KB
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:1,587 chars
Detector Agreement:33%

Website Classification

Primary Category

documentation technical61% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
61%
technology software
49%
adult content
42%
government public service
34%
cryptocurrency blockchain
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.67.184.158Singapore
143.152.26.58Singapore
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T128B2526952F354A62833B1A92BEF970A3734F00B991ADD5DBFEC12048F917F85143B89

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:mdAMO+5LN49dOF71h/tvvAy4Jua71x5aJ:mdAMxN49m71Zd744a718

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:25560:DhlLBAYJgCENCAEyACLxYDqBDykIZiJQBQBxRiwLTQB7BaCIhSYAUBRVARKJhRIOQMWAAkLYIhkkliiLEpBCaVACZAAU5tBk

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:183c3c3c3c3c3d3d
Perceptual Hash:8e5838396c716677
Difference Hash:7171616969696961
Wavelet Hash:183c3c3c3c3c3d3d
Color Hash:#9d40bf

Other Hashes

Crop Resistant:7171616969696961

Scan History

Scan history not available

Unable to load historical scan data