Security Scan Report: previous-gold-was4kdbmkc-dp2x9cavoe24.edgeone.app

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Submitted: Jun 28, 2026, 8:19:48 PMCompleted: Jun 28, 2026, 8:21:07 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is previous-gold-was4kdbmkc-dp2x9cavoe24.edgeone.app and was registered NaN years ago.

Submitted URL: https://previous-gold-was4kdbmkc-dp2x9cavoe24.edgeone.app/

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

The site shows no malicious forms, IoCs, or malware; only weak signals like being unranked and an unknown-age subdomain keep it at low risk.

Risk Factors
Domain is unranked in Cisco Umbrella
Subdomain creation date unknown (potentially new)
Safety Factors
No forms collecting credentials or payment data
No external malicious links or resources
No suspicious JavaScript behavior
Domain age information unavailable

Details

Page Title

SKEUO-MIX V4: DRAGON RADIANCE (PRO)

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(74%)

Domain Information

You're looking at domain 'previous-gold-was4kdbmkc-dp2x9cavoe24.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'previous-gold-was4kdbmkc-dp2x9cavoe24'. The second-level label 'edgeone' is 7 characters long with 4 vowels and three consonants. Tokenizing the label suggests 2 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://previous-gold-was4kdbmkc-dp2x9cavoe24.edgeone.app/

Page Load Overview

1.23s
Total Load Time
3
HTTP Requests
2
Domains
12 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:277 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software74% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
74%
documentation technical
73%
entertainment media
64%
healthcare medical
42%
adult content
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
179.127.211.90Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T183A2D99255F31872652BA07A2BFB57463230C007D609C60C3FAC97D05FDBAA5C9AB6CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:V0SYdLY33nF3AdyoXfBkj++QMRm2vqUUb:V0SYdLY33nFQcMem2vqUUb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22732:AUAEHIEbFqQUCiEgUMgQCCwNFhVidkJCBUIEBHNGSIlSWMBEDhTIyCSRZGBkkJGWQAJZD8HzCATCCDgCPixAK4RCECAQIxDI

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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