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Security Scan Report: raw-orange-awphqeiwqj-tzkgwdam03.edgeone.app

Submitted: Mar 9, 2026, 4:20:10 PMCompleted: Mar 9, 2026, 4:21:49 PMpubliccompleted
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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 raw-orange-awphqeiwqj-tzkgwdam03.edgeone.app and was registered NaN years ago.

Submitted URL: https://raw-orange-awphqeiwqj-tzkgwdam03.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: 72%

3
Risk Score

Page displays a simple greeting on a newly created subdomain; no malicious activity detected but hosting‑platform subdomain is moderately suspicious.

Risk Factors
Subdomain on hosting platform with unknown creation date
Low ranking domain (Cisco Umbrella rank > 100k)
Safety Factors
No forms or credential collection
No malicious Indicators of Compromise
No JavaScript malware patterns
No network IDS alerts
Domain age information unavailable

Details

Page Title

For My Dear Sister

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(72%)

Domain Information

Within the application-focused generic top-level domain (.app), 'raw-orange-awphqeiwqj-tzkgwdam03.edgeone.app' is registered with subdomain 'raw-orange-awphqeiwqj-tzkgwdam03'. The core label 'edgeone' covers 7 characters with 4 vowels and 3 consonants. Word splitting yields two 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://raw-orange-awphqeiwqj-tzkgwdam03.edgeone.app/

Page Load Overview

13.14s
Total Load Time
1
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:828 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software72% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
72%
documentation technical
44%
adult content
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
AS139341ACE
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1015230E256131425952766B327AE0B0A29B0D643F747CC79BBFC264DCF82D44AB873B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:xrHHzDuFzkSQqs6wSPUj1DivuC+hZoigNTf1N+2JDs25GerOVpvHOfLYHlynr:1DuFzkSQqs6wSP8DivuC+hZoigNTfP+s

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13528:EUHJGCkEpkWEgKH7jQMjAUlAxQ0i4woAA2RxBQsUiCkKAyK0hJcJBHhwopUIJSKJUgBgaLiiAyKGkjNSAXyJKUAD5hMFRwaS

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:183c3c3c3c3c3c18
Perceptual Hash:d9da372588d226cd
Difference Hash:f0f0e8f0f0e8f0f0
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#783d3a

Other Hashes

Crop Resistant:f0f0e8f0f0e8f0f0

Scan History

Scan history not available

Unable to load historical scan data