Security Scan Report: fairy-tale-dpe0kutldtlc.zh-cn.edgeone.cool

Submitted: Jun 19, 2026, 3:43:50 AMCompleted: Jun 19, 2026, 3:45:13 AMpubliccompleted

This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is fairy-tale-dpe0kutldtlc.zh-cn.edgeone.cool and was registered 1 year 3 months ago.

Submitted URL: https://fairy-tale-dpe0kutldtlc.zh-cn.edgeone.cool/da_vinci_egg_story_pinyin.html

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

EdgeOne Pages

Scan Type

public

Domain Name Analysis

Within the .cool top-level domain, 'fairy-tale-dpe0kutldtlc.zh-cn.edgeone.cool' is registered, featuring subdomain 'fairy-tale-dpe0kutldtlc.zh-cn'. The second-level label 'edgeone' is 7 characters long with 4 vowels and three consonants. It segments into 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fairy-tale-dpe0kutldtlc.zh-cn.edgeone.cool/da_vinci_egg_story_pinyin.html

Page Load Overview

3.24s
Total Load Time
16 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:183 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical37% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
37%
phishing scam
29%
news media journalism
27%
adult content
26%
technology software
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.168.100.62Singapore
1124.72.129.118China
AS58772CHINANET Fujian province Fuzhou IDC network
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16E514172E192643BA127C9DE7070939EB0E6C402C3975A136DFD9379CACAE939B1134C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:Tm5jZc1c2IXZftTM58SVdu65WwVbqF3JqM8LbR56:Tm9kc3lXSVrhWpsMeRE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2542:EgIACAEAAAABCIFQAAiAAAgAgABAAAKAEwAAAASABMAQAAFAAgAAAAGAABgEBACMABAhEAAIACQkAAACAAAUAhAAgQAAABkA

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:ffffe7e7e7ffffff
Perceptual Hash:b326cc993366cc99
Difference Hash:0000080c0c080000
Wavelet Hash:ffffc3c300240c0c
Color Hash:#86742d

Other Hashes

Crop Resistant:0000080c0c080000

Scan History

Scan history not available

Unable to load historical scan data