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

Redirected to: https://next-ai-draw-io2222222222-t50454ni90.edgeone.dev/en/

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Submitted: Jan 12, 2026, 3:57:28 AMCompleted: Jan 12, 2026, 3:59:09 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-io2222222222-t50454ni90.edgeone.dev and was registered NaN years ago.

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

Effective URL: https://next-ai-draw-io2222222222-t50454ni90.edgeone.dev/en/Redirected

AI Security Verdict

High Risk

Confidence: 82%

5
Risk Score

Site mimics Draw.io on a new, unranked domain – likely a phishing impersonation.

Risk Factors
Brand impersonation on an unranked, recently registered domain
Low reputation due to lack of Cisco Umbrella ranking
Recent domain age (< 1 year) increases suspicion
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

(72%)

Domain Information

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 split between 4 vowels and three consonants. Tokenizing the label suggests 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-io2222222222-t50454ni90.edgeone.dev/

Page Load Overview

18.87s
Total Load Time
26
HTTP Requests
2
Domains
557 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:641 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software72% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
72%
documentation technical
60%
entertainment media
43%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1343.174.246.29Singapore
13104.18.5.247United States
AS13335CLOUDFLARENET
262--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17B532A21B408DD3DDA178E8CB5B9BF389059E141EB654038B29D846691C3EF96FF2EC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lpMfebx/c64Jysq7v3/p+752M2njR44Xkc4Wx0FaRKc:l2fexp+F2M2njm4XksiARKc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:66431:gFBsIBiBCAgIFAAAAph4IQVlIvEcsuYJIaw+U8UJgFICFnwBA4rBAwEvAEBgjAAao9RKCAg3aAyk2FSwIxFAESjIQEQg9cIo

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:e2c5e7c7e7c7c7c6
Wavelet Hash:1371717373737700
Color Hash:#7e931f

Other Hashes

Crop Resistant:e2c5e7c7e7c7c7c6

Scan History

Scan history not available

Unable to load historical scan data