Security Scan Report: lilith-xtower-nbohg9rccv.edgeone.app

Site favicon
Submitted: Feb 25, 2026, 3:46:58 PMCompleted: Feb 25, 2026, 3:48:20 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is lilith-xtower-nbohg9rccv.edgeone.app and was registered NaN years ago.

Submitted URL: https://lilith-xtower-nbohg9rccv.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: 95%

0
Risk Score

No malicious activity detected; the site currently returns an error page and appears benign.

Safety Factors
Hosted on a known platform (edgeone.app)
No credential or payment collection elements
No suspicious scripts or network alerts
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

The domain name 'lilith-xtower-nbohg9rccv.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'lilith-xtower-nbohg9rccv'. The registrable portion 'edgeone' spans 7 characters 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-nbohg9rccv.edgeone.app/500.html

Page Load Overview

0.65s
Total Load Time
10
HTTP Requests
1
Domains
137 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

T1A2C10475A909EE0AEC39BD5D007EAF3E54CD997B85B4C97C97CCDE0806814BA1B91DC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:08jHnHvA0SPcY8IiTck7ZozTk7cg1mWqp+0xmzqhPKAcHcKO5cSJ5giluM964eW:ZbnH4cY8IikggWqp+MmzAh5giluM96E

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5888:iIYskgQ2AggEABkMIAIIAoBKiEIogSyCICAAAIKCkAoDAQGohIICADpAQAGGnIJAQxAX0DAggAAJOWQJ6AwQEAB2AFOFEAwA

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:#2d8655

Other Hashes

Crop Resistant:0000000808000000

Scan History

Scan history not available

Unable to load historical scan data