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Security Scan Report: abstract-purple-wqwm7ito-dpd8b1od0vgm.edgeone.app

Submitted: Jun 15, 2026, 10:36:02 PMCompleted: Jun 15, 2026, 10:37:09 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is abstract-purple-wqwm7ito-dpd8b1od0vgm.edgeone.app and was registered NaN years ago.

Submitted URL: https://abstract-purple-wqwm7ito-dpd8b1od0vgm.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

The site shows no malicious activity and contains no credential or payment forms; it is assessed as low risk.

Risk Factors
Subdomain on a hosting platform with unknown creation date
Safety Factors
Absence of credential or payment collection fields
No malicious JavaScript or exfiltration behavior
No external domain links or redirects
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(68%)

Domain Information

The domain name 'abstract-purple-wqwm7ito-dpd8b1od0vgm.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'abstract-purple-wqwm7ito-dpd8b1od0vgm'. The core label 'edgeone' covers 7 characters holding four vowels versus 3 consonants. It segments into 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://abstract-purple-wqwm7ito-dpd8b1od0vgm.edgeone.app/

Page Load Overview

0.34s
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:52 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical68% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
68%
government public service
66%
news media journalism
54%
corporate business
49%
adult content
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18902C6CAEBA305C8A82BC0792FFF5324222DE017D448CD5DB99E1F548F4528875EA3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBZh1RaXQl:KrzhNK/lMHmGgdkqOd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8729:IAWS13QKhQMRNBUdIU2ChAAiSACFjQQAMFAJCAECiDeWAJEIiMV8wwKCCYcCANaBgTzcdQj2SEFaJAtBAAIHCioCOiaWBAEB

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:dcfcfcc0e0e0c0c0
Perceptual Hash:de9a9838686563c7
Difference Hash:3030600000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#5357ac

Other Hashes

Crop Resistant:3030600000000000

Scan History

Scan history not available

Unable to load historical scan data