Security Scan Report: organisational-magenta-pqiic6s1un-odjc4xqnw5.edgeone.app

Submitted: Feb 14, 2026, 10:20:18 AMCompleted: Feb 14, 2026, 10:21:50 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 organisational-magenta-pqiic6s1un-odjc4xqnw5.edgeone.app and was registered NaN years ago.

Submitted URL: https://organisational-magenta-pqiic6s1un-odjc4xqnw5.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
Well-established domain (>1000 days old)
No malicious Indicators of Compromise
No credential or payment forms
No JavaScript malware patterns detected
Domain age information unavailable

Details

Page Title

organisational-magenta-pqiic6s1un-odjc4xqnw5.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(69%)

Domain Information

You're looking at domain 'organisational-magenta-pqiic6s1un-odjc4xqnw5.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'organisational-magenta-pqiic6s1un-odjc4xqnw5'. The core label 'edgeone' covers 7 characters containing four vowels alongside three consonants. Breaking it apart gives 2 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://organisational-magenta-pqiic6s1un-odjc4xqnw5.edgeone.app/

Page Load Overview

8.08s
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:864 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software69% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
69%
documentation technical
42%
adult content
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18D048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ufQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsze2bMy8OldC:dhoC9JSqzzbs6o3Sj3gcrsK2eA4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184671:EgwCILGACgXugpHsoAsAgFyBAEQMgGBgAsQiJqBQJHABKWAAjBGAAGIoOCAaARWBJkCEFQVZAAQQRAVkgRQKHgcqyWBVGCSr

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:b333cccccc233333
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#ac538b

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data