Security Scan Report: next-ai-draw-io2222222222-t50454ni90.edgeone.dev

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Submitted: Jan 10, 2026, 12:08:32 AMCompleted: Jan 10, 2026, 12:10:04 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 12 HTTP transactions. The main domain is next-ai-draw-io2222222222-t50454ni90.edgeone.dev and was registered NaN years ago.

Submitted URL: https://next-ai-draw-io2222222222-t50454ni90.edgeone.dev/_not-found.html

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Domain is older than 180 days
Unranked status is not a concern without other suspicious signals
No external links or redirects
Domain age information unavailable

Details

Page Title

404: This page could not be found.

Scan Type

public

Language

🇺🇸

English

(62% confidence)

Category

news media journalism

(77%)

Domain Information

The domain 'next-ai-draw-io2222222222-t50454ni90.edgeone.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'next-ai-draw-io2222222222-t50454ni90'. The core label 'edgeone' covers 7 characters with 4 vowels and 3 consonants. Segmentation suggests two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://next-ai-draw-io2222222222-t50454ni90.edgeone.dev/_not-found.html

Page Load Overview

7.50s
Total Load Time
10
HTTP Requests
1
Domains
131 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:62%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:62%
Script Type:Latin
Text Length:68 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

news media journalism
77%
government public service
76%
healthcare medical
70%
adult content
68%
finance banking
65%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1043.174.246.29Singapore
101--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18EF11229A805ED4AFD6A7D6D003EEE3F50CE883F46B49EB896CDCE58064147A1797DC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:ijuNc/JaHnUWn4BzHkr0S6cVoa7cg1xqzc/xmWD7ZMsSYExqz8SuG6sSuzuSuNsF:ijuNW2nUWSzHkognqzcpmlqzIg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7824:IAS01rOCMFIxEXAfzpCUgRpW0JgACjUISBiMQoKWDCAjAKiFIAggMARDgWFNiAUiQwgoFFdBZUAASK3jLWGlaiLwOgggGAM1

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:0000000c0c000000
Wavelet Hash:fcfcfce420383030
Color Hash:#9340bf

Other Hashes

Crop Resistant:0000000c0c000000

Scan History

Scan history not available

Unable to load historical scan data