Security Scan Report: next-ai-draw-io3-tnlozo2xge.edgeone.dev

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Submitted: Dec 25, 2025, 3:34:02 PMCompleted: Dec 25, 2025, 3:34:39 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 11 HTTP transactions. The main domain is next-ai-draw-io3-tnlozo2xge.edgeone.dev and was registered NaN years ago.

Submitted URL: https://next-ai-draw-io3-tnlozo2xge.edgeone.dev/500.html

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns identified; site appears legitimate.

Safety Factors
Standard 500 Internal Server Error page
No suspicious content or brand impersonation 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

Within the developer-focused generic top-level domain (.dev), 'next-ai-draw-io3-tnlozo2xge.edgeone.dev' is registered; it also runs on subdomain 'next-ai-draw-io3-tnlozo2xge'. The second-level label 'edgeone' is 7 characters long split between four vowels and three consonants. Tokenizing the label suggests 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://next-ai-draw-io3-tnlozo2xge.edgeone.dev/500.html

Page Load Overview

5.89s
Total Load Time
9
HTTP Requests
1
Domains
131 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
76%
government public service
76%
cryptocurrency blockchain
72%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
943.174.247.29Singapore
91--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D3C111769809EE0BEC3A7D9D003E9E3E54CD843F81748AB896DDDE44069297A1B92DC1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:0PHnHts0SKce7ZozTk7cg1mWqp+0xmzqhDK8cHcSzISJ5giluM964eW:CnHoggWqp+Mmz//5giluM96E

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5974:PJwLUAAEDAIgCAIKDYAAYEBgggAEVIxUMgxwYE1CAMgEAAiDHIhYugAAQ4BAlgKIkKAIIEVC0HkwFwgAABqAQAAEFBoUAYGA

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:#79d292

Other Hashes

Crop Resistant:0000000808000000

Scan History

Scan history not available

Unable to load historical scan data