Security Scan Report: active-gray-aepmotbikk-wr4qgdwia5.edgeone.app

Submitted: Apr 21, 2026, 6:20:46 PMCompleted: Apr 21, 2026, 6:21:54 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is active-gray-aepmotbikk-wr4qgdwia5.edgeone.app and was registered NaN years ago.

Submitted URL: https://active-gray-aepmotbikk-wr4qgdwia5.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: 72%

5
Risk Score

The site is moderately suspicious due to an unknown-age subdomain on a hosting platform and low reputation, but no malicious content was detected.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain reputation ranking
Potential brand impersonation risk (none detected but ranking raises suspicion)
Safety Factors
No login or payment forms
No malicious JavaScript or obfuscation
No external malicious links or network alerts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(75%)

Domain Information

The domain name 'active-gray-aepmotbikk-wr4qgdwia5.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'active-gray-aepmotbikk-wr4qgdwia5'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and three consonants. It segments into 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://active-gray-aepmotbikk-wr4qgdwia5.edgeone.app/

Page Load Overview

0.59s
Total Load Time
2
HTTP Requests
1
Domains
7 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:70 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical75% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
75%
news media journalism
49%
government public service
48%
healthcare medical
31%
technology software
30%

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

T1E422C7C9EBE706C8A81BC0682FFF67253229E053D448C95CB99E4F648F4518475FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBBhnXhOh1RaXQl:KrzhNK/lMHmGgdkqoNEd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10481:ICVCXnAUBw+QtBUEAUWAgAIqCECEGQQIEFEJAAACuDASBIEKAIA0w0CDSRdCgcaAgTicxaAmbEBaBDhiCAYeCCsDeCaGAAUF

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:dcfcfcfcc0808000
Perceptual Hash:de9a38696898c2e7
Difference Hash:3030602000000000
Wavelet Hash:dcfcfcfce0e0c080
Color Hash:#e0b36c

Other Hashes

Crop Resistant:3030602000000000

Scan History

Scan history not available

Unable to load historical scan data