Security Scan Report: unknown-magenta-kkjyp9eaim-gi9npc7ekz.edgeone.app

Submitted: Feb 8, 2026, 5:26:56 PMCompleted: Feb 8, 2026, 5:28:19 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 unknown-magenta-kkjyp9eaim-gi9npc7ekz.edgeone.app and was registered NaN years ago.

Submitted URL: https://unknown-magenta-kkjyp9eaim-gi9npc7ekz.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: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (> 365 days)
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
Page title does not impersonate any known brand
Domain age information unavailable

Details

Page Title

unknown-magenta-kkjyp9eaim-gi9npc7ekz.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(44%)

Domain Information

You're looking at domain 'unknown-magenta-kkjyp9eaim-gi9npc7ekz.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'unknown-magenta-kkjyp9eaim-gi9npc7ekz'. The second-level label 'edgeone' is 7 characters long holding four vowels versus three consonants. Tokenizing the label suggests two 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://unknown-magenta-kkjyp9eaim-gi9npc7ekz.edgeone.app/

Page Load Overview

3.30s
Total Load Time
3
HTTP Requests
2
Domains
7 KB
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:85 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service44% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
44%
news media journalism
33%
adult content
32%
documentation technical
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A9048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:YfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz62bMy8OldM:ThoC9JSqzzbs6o3Sj3gcrsG2eAi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184636:mzDlUIIgIgMEAKVESEJtYgABAgAbIKewGzATAKKQkQyKYrgkAQkIRC4SSupRQBUuAC7MgAJAGDVhygdEA4TAAAJKCIiEyiAA

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:#2dd2c7

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data