Security Scan Report: next-ai-draw-io-4d9fef1fz4.edgeone.app

Redirected to: https://next-ai-draw-io-4d9fef1fz4.edgeone.app/en/

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Submitted: Jan 15, 2026, 2:54:49 AMCompleted: Jan 15, 2026, 2:56:42 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is next-ai-draw-io-4d9fef1fz4.edgeone.app and was registered NaN years ago.

Submitted URL: https://next-ai-draw-io-4d9fef1fz4.edgeone.app/

Effective URL: https://next-ai-draw-io-4d9fef1fz4.edgeone.app/en/Redirected

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain (>2 years old)
No malicious Indicators of Compromise
No forms collecting sensitive data
Standard hosting environment
Only benign redirect
Domain age information unavailable

Details

Page Title

Next AI Draw.io - AI-Powered Diagram Generator

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(69%)

Domain Information

Domain 'next-ai-draw-io-4d9fef1fz4.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'next-ai-draw-io-4d9fef1fz4'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and three consonants. Breaking it apart gives two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://next-ai-draw-io-4d9fef1fz4.edgeone.app/

Page Load Overview

5.74s
Total Load Time
44
HTTP Requests
2
Domains
616 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:613 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software69% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
69%
documentation technical
57%
entertainment media
34%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2243.152.26.58Singapore
22104.18.5.247United States
AS13335CLOUDFLARENET
442--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T156632B21B408DD3DDA1B8E4CB5BDBF389059E241EB654038B29D816655C3EF96BF2EC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:9eMfebx/c64Jysq7v3/p+75uM2xJKE4gXkcmwWx0FBRKc:9zfexp+FuM2xJK5gXkrfirRKc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:68144:kBqFEAwgAGAohWLVAmgmcJlXQDgAaCZSARIo5AhDSfEK+CkGbgumA5AkiClAD4AC2ICIEoAQA4AlCCEYAShQMAjGaET8BOEn

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:3371717173737372
Perceptual Hash:846a55bd7da515a1
Difference Hash:e2c5e7c7e7c7c7c4
Wavelet Hash:1371717373737700
Color Hash:#4079bf

Other Hashes

Crop Resistant:e2c5e7c7e7c7c7c4

Scan History

Scan history not available

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