Security Scan Report: lilith-xtower-7b8ffq6u2w.edgeone.app

Submitted: Mar 8, 2026, 3:53:35 PMCompleted: Mar 8, 2026, 3:54:54 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 lilith-xtower-7b8ffq6u2w.edgeone.app and was registered NaN years ago.

Submitted URL: https://lilith-xtower-7b8ffq6u2w.edgeone.app/500.html

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

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: Error page title: '500: Internal Server Error.' with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

500: Internal Server Error.

Scan Type

public

Language

🇩🇪

German

(36% confidence)

Category

news media journalism

(77%)

Domain Information

Domain 'lilith-xtower-7b8ffq6u2w.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'lilith-xtower-7b8ffq6u2w'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside 3 consonants. Breaking it apart gives 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lilith-xtower-7b8ffq6u2w.edgeone.app/500.html

Page Load Overview

0.80s
Total Load Time
10
HTTP Requests
1
Domains
136 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:36%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:36%
Script Type:Latin
Text Length:54 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
77%
documentation technical
77%
technology software
77%
government public service
76%
cryptocurrency blockchain
72%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1043.152.26.58Singapore
101--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T175C105759909EE0AEC397D5D007EAF3E54C9987B85B4C97C53CCDE0806814BA1B91EC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:0wjHnHvA0SPcY8IiTc97ZozTk7cg1mWqp+0xmzqhPKAcHcKO5cSJ5giluM964eW:FbnH4cY8IitggWqp+MmzAh5giluM96E

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5888:iIYskoQ2AgwEABkMIAIIAoBKiEIoiSyCICAAAIKAkAoDAQGoxIICADpAQAECnIJAQxAX8TAggAAJOWQJ4AwYEAB2AFOFEAwA

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:ffffffe7e7ffffff
Perceptual Hash:b323cccc3333cccc
Difference Hash:0000000808000000
Wavelet Hash:03033f27273f3333
Color Hash:#7ed279

Other Hashes

Crop Resistant:0000000808000000

Scan History

Scan history not available

Unable to load historical scan data