Security Scan Report: lililili-w0dn4754c0.edgeone.app

Submitted: Mar 21, 2026, 10:40:45 AMCompleted: Mar 21, 2026, 10:42:01 AMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 1 HTTP transaction. The main domain is lililili-w0dn4754c0.edgeone.app and was registered NaN years ago.

Submitted URL: https://lililili-w0dn4754c0.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 malicious activity detected; the site appears legitimate.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
Low JavaScript obfuscation (no malware patterns)
Hosted on a known development platform (edgeone.app)
Page title and content are unrelated to any well‑known brand
Domain age information unavailable

Details

Page Title

萤之光 - 冷门gal日乙档案馆

Scan Type

public

Language

🇺🇸

English

(26% confidence)

Category

technology software

(86%)

Domain Information

You're looking at domain 'lililili-w0dn4754c0.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'lililili-w0dn4754c0'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside 3 consonants. Word splitting yields two 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://lililili-w0dn4754c0.edgeone.app/

Page Load Overview

0.88s
Total Load Time
31
HTTP Requests
5
Domains
764 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:26%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:26%
Script Type:Latin
HTML Lang Attribute:zh-CN
Text Length:4,164 chars
Detector Agreement:50%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

technology software86% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
86%
documentation technical
83%
entertainment media
74%
healthcare medical
45%
forum
25%

Detected Features

Comments

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7178.236.38.1City of London, England, United Kingdom
AS201674Wen ZhangYu
643.152.26.58Singapore
6172.247.44.243United Kingdom
6172.67.73.67United States
AS13335Cloudflare, Inc.
6104.16.174.226United States
AS13335Cloudflare, Inc.
315--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F863671003A58D3F8A3761C53185773560E372BEDF929EC561958BF0CBA0FB964CA88B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:0I5oH2UNsHiDMr6qkLaUeAiog8kzpMwX9HiDMr/nnWh0DnyeNdGMFRPtOrRYPPBd:38sHiDbq0GX9HiDUnWhF4RTlNf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:68274:BJgAAyCxrWpKwpLghpAysSBhQIkSKCgTEiPBIQJuADBEJYAkHEQxAmcLA2sEJGDgpBkgBRJqgSAwAQZAAgvj3YAlwQWhiBJB

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

Unable to load historical scan data