Security Scan Report: tame-maroon-mpwn0e0zb0-vebeacowpx.edgeone.app

Submitted: Apr 3, 2026, 7:01:29 AMCompleted: Apr 3, 2026, 7:02:37 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is tame-maroon-mpwn0e0zb0-vebeacowpx.edgeone.app and was registered NaN years ago.

Submitted URL: https://tame-maroon-mpwn0e0zb0-vebeacowpx.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: 85%

4
Risk Score

Subdomain on edgeone.app, unknown age, no malicious signs; moderate risk.

Risk Factors
Subdomain on hosting platform with unknown creation date
Safety Factors
No forms detected
No malicious Indicators of Compromise matches
No JavaScript malware detected
HTTPS likely
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

news media journalism

(38%)

Domain Information

The domain 'tame-maroon-mpwn0e0zb0-vebeacowpx.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'tame-maroon-mpwn0e0zb0-vebeacowpx'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside 3 consonants. Tokenizing the label suggests 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://tame-maroon-mpwn0e0zb0-vebeacowpx.edgeone.app/

Page Load Overview

0.32s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:59 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

news media journalism38% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
38%
cryptocurrency blockchain
28%
real estate property
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EC02C5CAEBA305C8A82BC0682FFF5324222DE057D848CD5DB99E5F548F4518875EB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBUh1RaXQl:KrzhNK/lMHmGgdkqbd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8709:IIUC1nASBQcQNDUcA02BhCAiSEiFDQQBMFAJKABKiDKwAIEIIMR0wwKYCacCANaRoTicVeY2SEB6BQhBIAIOKGpCOCaWAAFB

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:dcfcfce0e0e0c0c0
Perceptual Hash:dc9a983c6c6563c3
Difference Hash:3030300000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#86302d

Other Hashes

Crop Resistant:3030300000000000

Scan History

Scan history not available

Unable to load historical scan data