Security Scan Report: dongpi-ezt0wka210.edgeone.app

Submitted: Jan 7, 2026, 3:56:26 AMCompleted: Jan 7, 2026, 3:57:52 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 19 HTTP transactions. The main domain is dongpi-ezt0wka210.edgeone.app and was registered NaN years ago.

Submitted URL: https://dongpi-ezt0wka210.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 security concerns detected; site appears legitimate.

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

Details

Page Title

中国近现代史刷题系统

Scan Type

public

Language

🇨🇳

Chinese

(79% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'dongpi-ezt0wka210.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'dongpi-ezt0wka210'. The core label 'edgeone' covers 7 characters containing 4 vowels alongside 3 consonants. Tokenizing the label suggests 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dongpi-ezt0wka210.edgeone.app/

Page Load Overview

1.53s
Total Load Time
2
HTTP Requests
1
Domains
65 KB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:79%
Script:Han
Direction:ltr

Detection Details

Language Code:zh
Detection Confidence:79%
Script Type:Han
HTML Lang Attribute:zh-CN
Text Length:29,253 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T198A49502C5610D6A264220ED29850243A424D35FBE663A00BBAE57FE0F9FB5F55377BF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:RHMXTsPoB3mfAHTZyTpwMlmcMK8cbB27Hrstf:RsoofT0VMjg27w

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:483487:bAoeBgQEwGliGk3VQbAI6BEWxiKlFECoEAEAC0IYUwmWGBsFADGEIAppJIACEJHoiSihsDcJXdwUOEAAAALQBFQaKgMgsNsi

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:7e7e7e7e7e000000
Perceptual Hash:d5956a6a852f6a68
Difference Hash:ccc0d4c0c0800100
Wavelet Hash:7e7e7e7e7e600000
Color Hash:#7f6ce0

Scan History

Scan history not available

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