Security Scan Report: jizhiben-10co8yoi9a.edgeone.app

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Submitted: Dec 22, 2025, 5:48:39 AMCompleted: Dec 22, 2025, 5:48:42 AMpubliccompleted
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Summary

This website contacted 0 IPs in 0 countries across 0 domains to perform 0 HTTP transactions. The main domain is jizhiben-10co8yoi9a.edgeone.app and was registered NaN years ago.

Submitted URL: https://jizhiben-10co8yoi9a.edgeone.app/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Site appears legitimate with no detected threats.

Safety Factors
Well‑established domain age
No malicious Indicators of Compromise
No forms collecting sensitive data
No redirects or external links
Content appears non‑phishing and non‑malicious
Domain age information unavailable

Details

Page Title

林间的博客 - 藏在自然里的碎碎念与慢思考

Scan Type

public

Language

🇩🇰

Danish

(24% confidence)

Category

healthcare medical

(71%)

Domain Information

You're looking at domain 'jizhiben-10co8yoi9a.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'jizhiben-10co8yoi9a'. Count 7 characters in 'edgeone' split between four vowels and 3 consonants. Tokenizing the label suggests 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://jizhiben-10co8yoi9a.edgeone.app/

Page Load Overview

2.81s
Total Load Time
0
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇩🇰Danish
Code: da
Confidence:24%
Script:Latin
Direction:ltr

Detection Details

Language Code:da
Detection Confidence:24%
Script Type:Latin
HTML Lang Attribute:zh-CN
Text Length:2,710 chars
Detector Agreement:50%
Language mismatch: Declared as zh but detected as da

Website Classification

Primary Category

healthcare medical71% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
71%
news media journalism
59%
adult content
58%
technology software
57%
finance banking
56%

Detected Features

OG: website

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A13419207325463E014742BAB3D0AF6D116CB30BDB43C9C5776E49AB2BC2EB2995537E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:z76uyMTiIl5rs4OlRgmeuu+GGW2YmiWQG5KomqIa4K4WI644Kbk/Aa5:z76uhO1lek/B5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:247507:uHBqQWgKRAsikgBGAwFFkABXBhxEhNSwgJgkgGQKgTCAaQNgDEJIooNMGUox1EA9yNBjoRgAYVBhVALQAAASZAABgA4GgiAI

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:2c2c0e8bc3bf3f3f
Perceptual Hash:975383ff609cb026
Difference Hash:d8c8a8360e6676c5
Wavelet Hash:0c2c068a83bf3b7f
Color Hash:#ac53a9

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data