Security Scan Report: afraid-orange-lw5rzfdhq0-q0ysetf02b.edgeone.app

Submitted: Mar 8, 2026, 5:08:30 PMCompleted: Mar 8, 2026, 5:10:07 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 afraid-orange-lw5rzfdhq0-q0ysetf02b.edgeone.app and was registered NaN years ago.

Submitted URL: https://afraid-orange-lw5rzfdhq0-q0ysetf02b.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: 92%

2
Risk Score

No malicious activity observed; only a newly created subdomain raises minor concern.

Risk Factors
Subdomain on hosting platform with unknown creation date (potentially new)
Safety Factors
No password, email, or payment fields present
No malicious Indicators of Compromise
No JavaScript malware signatures
No IDS alerts
Hosting platform commonly used for legitimate sites
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(70%)

Domain Information

Domain 'afraid-orange-lw5rzfdhq0-q0ysetf02b.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'afraid-orange-lw5rzfdhq0-q0ysetf02b'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and three consonants. Word splitting yields two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://afraid-orange-lw5rzfdhq0-q0ysetf02b.edgeone.app/

Page Load Overview

8.16s
Total Load Time
2
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:837 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software70% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
70%
documentation technical
41%
adult content
36%

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

T12802B5CAFB9305C8A82BC0782FFB5725222DE067C449C95DBA9E1F548F4518875EB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB+3h1RaXQl:KrzhNK/lMHmGgdkqjd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8807:KCUS1nBKRQMQNhUcA82AhABiSAGEDQQCMVApACALiDKRCIEYjMR0wwKBiYcGINaSgTi8VQCmSFBapAhBkAIGCG5COCaWAYED

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:dcfcfcf0e0e0c0c0
Perceptual Hash:da9a989c6c6561e3
Difference Hash:3038580000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#1f9355

Other Hashes

Crop Resistant:3038580000000000

Scan History

Scan history not available

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