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Security Scan Report: screeching-orange-9trxmr95ab-iuxbdpoxja.edgeone.app

Submitted: Feb 21, 2026, 2:47:36 AMCompleted: Feb 21, 2026, 2:48:57 AMpubliccompleted
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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 screeching-orange-9trxmr95ab-iuxbdpoxja.edgeone.app and was registered NaN years ago.

Submitted URL: https://screeching-orange-9trxmr95ab-iuxbdpoxja.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Domain age > 365 days
Low ranking does not indicate malicious activity alone
No credential or payment collection fields
No external domains or cross‑origin requests
Page title does not impersonate any known brand
Domain age information unavailable

Details

Page Title

screeching-orange-9trxmr95ab-iuxbdpoxja.edgeone.app

Scan Type

public

Language

🇯🇵

Japanese

(80% confidence)

Category

documentation technical

(54%)

Domain Information

Domain 'screeching-orange-9trxmr95ab-iuxbdpoxja.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'screeching-orange-9trxmr95ab-iuxbdpoxja'. Count 7 characters in 'edgeone' containing four vowels alongside three consonants. Breaking it apart gives 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://screeching-orange-9trxmr95ab-iuxbdpoxja.edgeone.app/

Page Load Overview

2.22s
Total Load Time
10
HTTP Requests
3
Domains
13 KB
Total Size

Language Analysis

Primary Language

🇯🇵Japanese
Code: ja
Confidence:80%
Script:Mixed
Direction:ltr

Detection Details

Language Code:ja
Detection Confidence:80%
Script Type:Mixed
HTML Lang Attribute:ja
Text Length:392 chars
Detector Agreement:50%

Website Classification

Primary Category

documentation technical54% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
54%
government public service
36%
adult content
35%
cryptocurrency blockchain
33%
healthcare medical
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1043.152.26.58Singapore
AS139341
101--

Detected Technologies2

Tailwind CSS
30%
Unpkg
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13A048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:GfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszS2bMy8Oldw:FhoC9JSqzzbs6o3Sj3gcrse2eAu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184646:cQhhGBCCAogUDH8ocAJjGCorVayAB5gUgAJQUHiRAVwNGCgpCBBKFeAIAUgzECAKCJcSB6iVhmAQ0jQABEQAORC+kOCUxjhU

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#d279a4

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data