Security Scan Report: standard-black-mfaqevkdok-83pnelnczd.edgeone.app

Submitted: Apr 7, 2026, 1:47:36 PMCompleted: Apr 7, 2026, 1:48:56 PMpubliccompleted
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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 standard-black-mfaqevkdok-83pnelnczd.edgeone.app and was registered NaN years ago.

Submitted URL: https://standard-black-mfaqevkdok-83pnelnczd.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 security concerns detected; the site appears legitimate and safe.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Low‑risk hosting platform (edgeone.app) with standard content
Content appears to be a Chinese educational assistant page, not a phishing lure
Domain age information unavailable

Details

Page Title

衡水艾普敦 | 河北单招选大类智能助手 2027

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

technology software

(71%)

Domain Information

You're looking at domain 'standard-black-mfaqevkdok-83pnelnczd.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'standard-black-mfaqevkdok-83pnelnczd'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus 3 consonants. Breaking it apart gives 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://standard-black-mfaqevkdok-83pnelnczd.edgeone.app/

Page Load Overview

0.46s
Total Load Time
2
HTTP Requests
1
Domains
31 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:2,181 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software71% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
71%
documentation technical
70%
education learning
70%
government public service
48%
adult content
38%

Detected Features

No structural features detected

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

T138B3282525F21031627790E626AA824F3B68C903D447DF14FE9CA7E48FC4EA0D737B99

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:TO46oogrdOqhEKfrUw3mQvi3vsp0XUS+AlSvdtTWROr4GMc:RrrhEAfbvi/sp0XUSzJc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:109623:+JImUARi8axAFGCTciIYwxETQ8iAqWMFhIAgBiKwOuARQC4QAAjRWpIAg5AjlFgCCKBqITAggOAlzaAKhMJQETjAhvFEkBOB

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:003c3c3c3c000000
Perceptual Hash:8fce303165cb9ac6
Difference Hash:97716169699fffbf
Wavelet Hash:003d3d3f3f07070f
Color Hash:#673a78

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data