Security Scan Report: next-ai-draw-io-e7qba8qkcq.edgeone.dev

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Submitted: Feb 21, 2026, 12:47:54 PMCompleted: Feb 21, 2026, 12:49:17 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is next-ai-draw-io-e7qba8qkcq.edgeone.dev and was registered NaN years ago.

Submitted URL: https://next-ai-draw-io-e7qba8qkcq.edgeone.dev/500.html

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Site shows a server error but contains no malicious indicators; low risk.

Safety Factors
No malicious Indicators of Compromise matches
No credential or payment forms present
No JavaScript malware patterns detected
Page returns a 500 error with no executable content
Domain hosted on a standard platform (edgeone.dev) with no known abuse
Domain age information unavailable

Details

Page Title

next-ai-draw-io-e7qba8qkcq.edgeone.dev

Scan Type

public

Language

🇩🇪

German

(36% confidence)

Category

news media journalism

(77%)

Domain Information

The domain 'next-ai-draw-io-e7qba8qkcq.edgeone.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'next-ai-draw-io-e7qba8qkcq'. The registrable portion 'edgeone' spans 7 characters with four vowels and three consonants. Breaking it apart gives two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://next-ai-draw-io-e7qba8qkcq.edgeone.dev/500.html

Page Load Overview

5.20s
Total Load Time
10
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
77%
government public service
76%
cryptocurrency blockchain
72%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1043.174.247.29Singapore
101--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T194048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:4fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz62bMy8Old8:zhoC9JSqzzbs6o3Sj3gcrsm2eAe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184605:EKlAAIgK4lJwBMlWRRKjT+KDCyZFAKUiCwArgMdikgUawBIBs4IVBAxAAIVMUE5RBAVJI4kSCKBSgRQAMMUtYAuiAcgkwo/E

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:ffcfc7c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00181c1c00000000
Wavelet Hash:3f1f03070f0f0f0f
Color Hash:#543a78

Other Hashes

Crop Resistant:00181c1c00000000

Scan History

Scan history not available

Unable to load historical scan data