Security Scan Report: milkbox-y9k3snvo31.edgeone.app

Submitted: Mar 12, 2026, 4:11:12 AMCompleted: Mar 12, 2026, 4:12:47 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 3 domains to perform 42 HTTP transactions. The main domain is milkbox-y9k3snvo31.edgeone.app and was registered NaN years ago.

Submitted URL: https://milkbox-y9k3snvo31.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Suspicious new subdomain on edgeone.app; no malicious activity detected but moderate risk due to unknown age and low reputation.

Risk Factors
New/unknown subdomain on hosting platform
Low domain ranking
Unusual random content with personal contact details
Safety Factors
No forms or password fields present
No malicious Indicators of Compromise detected
No JavaScript malware patterns identified
No network IDS alerts
Standard HTTPS hosting on a known platform
Domain age information unavailable

Details

Page Title

MILK盒子

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(75%)

Domain Information

You're looking at domain 'milkbox-y9k3snvo31.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'milkbox-y9k3snvo31'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside three consonants. Splitting it apart reveals 2 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://milkbox-y9k3snvo31.edgeone.app/

Page Load Overview

8.16s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:786 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software75% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
75%
documentation technical
50%
adult content
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CD22D8D1687C1C7B424143C776B6AA8D709FDE2BCD059862F5BF42E523C7D85840B24B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:oP3iUPC80NsGg45e140tlyzTo8vq9BK9J4c9bsc90JxNlAWsOBtXAqU:oTh057olyQPgB/0JxNlAWsOBtQqU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10045:jAgGIghgUKjSEBEOnhEAjqILmQYD8VgZBo0LJIiBTpAklIYRuAAAIrGhAkAJQ1Dp7qGHQsKgYRhRBEAUAARQJSG6njAjARxF

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:ff00000018181818
Perceptual Hash:89a6ccb3aea6a689
Difference Hash:0930101010301032
Wavelet Hash:ff1818185818ff7c
Color Hash:#a1d22d

Scan History

Scan history not available

Unable to load historical scan data