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Security Scan Report: cnb-issue-sites-s9jlil7upk.edgeone.app

Submitted: Dec 18, 2025, 6:27:52 AMCompleted: Dec 18, 2025, 6:29:44 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is cnb-issue-sites-s9jlil7upk.edgeone.app and was registered NaN years ago.

Submitted URL: https://cnb-issue-sites-s9jlil7upk.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: 95%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain (> 180 days)
No malicious Indicators of Compromise
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

Ai佬的探索思考与分享

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(74%)

Domain Information

You're looking at domain 'cnb-issue-sites-s9jlil7upk.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'cnb-issue-sites-s9jlil7upk'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and three consonants. It segments into two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cnb-issue-sites-s9jlil7upk.edgeone.app/

Page Load Overview

30.23s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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:810 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software74% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
74%
documentation technical
47%
adult content
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14A1394792101DD1DED9B3E98643EBD39508DC26FC666CEB5D2ECC9210682C79EB939C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:5RkuO9dZXdhtoYPYkYDCrYIYOlYmLReYhCJx11fKK3kur9/m98PbFfN4YZYmpcXF:29deNY8cKUik

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:42150:OhoHQwgBSgDEQEBJxEIIoUOhCyEUogAI4AgI1NkLNAl1mQqCwJSwoICoFxG0LI8GUAQ5dgIRxHE0D44QAlQA2ACAm4yFEAJe

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:1f0747c6e7ffffff
Perceptual Hash:b1318ccc73b8cc7c
Difference Hash:b29e9c8a4e043006
Wavelet Hash:0206060666ffdfdb
Color Hash:#ac87c5

Other Hashes

Crop Resistant:b29e9c8a4e043006

Scan History

Scan history not available

Unable to load historical scan data