Security Scan Report: stock-daily-report-3xa7sv1kwn.edgeone.app

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Submitted: Feb 24, 2026, 4:59:39 AMCompleted: Feb 24, 2026, 5:01:01 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is stock-daily-report-3xa7sv1kwn.edgeone.app and was registered NaN years ago.

Submitted URL: https://stock-daily-report-3xa7sv1kwn.edgeone.app/

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

股市投资日报 - 每日A股美股行情分析

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

corporate

(50%)

Domain Information

Domain 'stock-daily-report-3xa7sv1kwn.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'stock-daily-report-3xa7sv1kwn'. Count 7 characters in 'edgeone' with 4 vowels and 3 consonants. Tokenizing the label suggests 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://stock-daily-report-3xa7sv1kwn.edgeone.app/

Page Load Overview

1.88s
Total Load Time
10
HTTP Requests
1
Domains
332 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:2,022 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
50%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1043.152.26.58Singapore
101--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A2B4FB04190CF5D7E3D56E8E8EF96E2BA099FA8A84461F07A5CDCB4E0675D3EA7070C4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:YxHVs63V8KBUFx31N7zToazVnx78hpbLua7dxiQ6W0gIpcxiQlHDiMzk3xiQbxRp:QmVzP1LiQsLwj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:499015:xVxKiEcAoLVAQItABoZHVBFcCHIR1DEyD0A1n4kC68AbQEDQIIIYYgBARQiUYkCoGAAStAqIpoq88AAlAGgrBYATwQReiYhj

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:c2c3c7cbc3cfcffb
Perceptual Hash:ed654dd1c7929292
Difference Hash:12020c1206143822
Wavelet Hash:c2c2c3c3c3c3cbda
Color Hash:#87bdc5

Other Hashes

Crop Resistant:12020c1206143822

Scan History

Scan history not available

Unable to load historical scan data