Security Scan Report: jiangee-qf7wuy5c0p.edgeone.app

Submitted: Mar 15, 2026, 12:18:51 PMCompleted: Mar 15, 2026, 12:20:47 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 jiangee-qf7wuy5c0p.edgeone.app and was registered NaN years ago.

Submitted URL: https://jiangee-qf7wuy5c0p.edgeone.app/%E9%BB%91%E7%A5%9E%E8%AF%9D.html

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

AI Security Verdict

Moderate Risk

Confidence: 70%

4
Risk Score

No malicious activity detected, but the site is a newly created subdomain on a free hosting platform; treat cautiously.

Risk Factors
Subdomain on free hosting platform with unknown creation date (new domain)
Safety Factors
No forms detected
No malicious Indicators of Compromise
No JavaScript malware patterns
No network IDS alerts
No external domains or redirects
Domain age information unavailable

Details

Page Title

Document

Scan Type

public

Language

🇩🇰

Danish

(38% confidence)

Category

documentation technical

(86%)

Domain Information

Within the application-focused generic top-level domain (.app), 'jiangee-qf7wuy5c0p.edgeone.app' is registered and includes subdomain 'jiangee-qf7wuy5c0p'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. Splitting it apart reveals two 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://jiangee-qf7wuy5c0p.edgeone.app/%E9%BB%91%E7%A5%9E%E8%AF%9D.html

Page Load Overview

0.60s
Total Load Time
2
HTTP Requests
1
Domains
4 KB
Total Size

Language Analysis

Primary Language

🇩🇰Danish
Code: da
Confidence:38%
Script:Latin
Direction:ltr

Detection Details

Language Code:da
Detection Confidence:38%
Script Type:Latin
HTML Lang Attribute:en
Text Length:82 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as da

Website Classification

Primary Category

documentation technical86% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
86%
healthcare medical
81%
finance banking
69%
adult content
65%
news media journalism
62%

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

T1FCF00C8280E2861A447053B97C80FA24AC50770613AB5880BDDF12E62F6963ECE27B2C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hRjy7TS5m4xMbDH7D7A5eWYNWljNxKAov0nM7NpkNxKAov07DYUObk:hRjC25mD/7D00WsW4Aov0MJJAov0XYS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:625:AAIAAAQAAAAAAgAAAAABAACAAMAAAAAIAAAAABAAAAAAAAAAAAAAQAAAAAAAAAAAAAAAAAACgAAAAAAIAQAAAAQAAAAAAAAA

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:3f7fffffffffffff
Perceptual Hash:810101030f3fffff
Difference Hash:c080000000000000
Wavelet Hash:3070f0f0f0f0f0f0
Color Hash:#57bf40

Other Hashes

Crop Resistant:c080000000000000

Scan History

Scan history not available

Unable to load historical scan data