Security Scan Report: cnb-issue-sites-mnzgl62okv.edgeone.app

Submitted: Nov 13, 2025, 7:01:12 AMCompleted: Nov 13, 2025, 7:01:49 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 29 HTTP transactions. The main domain is cnb-issue-sites-mnzgl62okv.edgeone.app.

Submitted URL: https://cnb-issue-sites-mnzgl62okv.edgeone.app/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
No malicious Indicators of Compromise matches found
No credential or payment forms detected
Domain not listed in Cisco Umbrella top 1M but no other suspicious indicators
Domain age information unavailable

Details

Page Title

Ai佬的探索思考与分享

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

technology software

(97%)

Domain Information

The domain name 'cnb-issue-sites-mnzgl62okv.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'cnb-issue-sites-mnzgl62okv'. The core label 'edgeone' covers 7 characters holding four vowels versus three consonants. It segments into 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://cnb-issue-sites-mnzgl62okv.edgeone.app/

Page Load Overview

3.20s
Total Load Time
29
HTTP Requests
1
Domains
331 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:443 chars
Detector Agreement:33%

Website Classification

Primary Category

technology software97% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
97%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2943.152.26.58Singapore
291--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1440393792101ED1DED9B7E98603EBD39508DC26FC666CEB5D2DCC9210682C79EB938C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:5Rkuz9dZXdhtoYPYkYDCrYIYO0uReKhMJx11fKK3kur9/m98PbFfN4YZYmacd:b9dejKCcKUi7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40837:AgGCbCk/AAaJAAAAElBICEeYEKJsAgig6QwpQFA1RZGgoW+pVQKQoJwkA4CGGYABAqwRBIIHKQYClVFyHlAeEsEBjASCgBCM

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:1f0747c6e6ffffdf
Perceptual Hash:b1318ccc73f8cc74
Difference Hash:b29e9c8a4e043016
Wavelet Hash:0206060666ffdfdb
Color Hash:#c587bd

Other Hashes

Crop Resistant:b29e9c8a4e043016

Scan History

Scan history not available

Unable to load historical scan data