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Security Scan Report: broken-purple-t2kxqlx1np-xuyizh6xke.edgeone.app

Submitted: Mar 6, 2026, 2:37:55 PMCompleted: Mar 6, 2026, 2:39:13 PMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 1 HTTP transaction. The main domain is broken-purple-t2kxqlx1np-xuyizh6xke.edgeone.app and was registered NaN years ago.

Submitted URL: https://broken-purple-t2kxqlx1np-xuyizh6xke.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 suspicious activity detected; site appears benign.

Safety Factors
Hosted on a standard hosting platform (edgeone.app)
No credential or payment fields present
No cross‑origin credential exfiltration observed
No network IDS alerts
No brand impersonation or phishing language
Domain age information unavailable

Details

Page Title

Server Response

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(42%)

Domain Information

Within the application-focused generic top-level domain (.app), 'broken-purple-t2kxqlx1np-xuyizh6xke.edgeone.app' is registered with subdomain 'broken-purple-t2kxqlx1np-xuyizh6xke'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and three consonants. Tokenizing the label suggests 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://broken-purple-t2kxqlx1np-xuyizh6xke.edgeone.app/

Page Load Overview

0.40s
Total Load Time
3
HTTP Requests
2
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:hi
Text Length:70 chars
Detector Agreement:100%
Language mismatch: Declared as hi but detected as en

Website Classification

Primary Category

documentation technical42% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
42%
healthcare medical
38%
news media journalism
35%
cryptocurrency blockchain
35%
government public service
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.58.206.65Singapore
AS15169
043.152.26.58Singapore
AS139341ACE
0142.251.140.163SingaporeUnknown
0216.58.206.46SingaporeUnknown
34--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T117D02372C160051F27731EDCED82A5184FDC738DE0710C4175C49094D9DFD56C813344

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BuFJYkAK3BbZ6iLt6aWzHMJ6R0ALRS8K4FLfRRyIdlEbXId:qzxV/5VHHQYk/B96CaR0yRNdxELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:bf1076670c489b6d3c1fa9f5460200a6

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:00ffffffffffffff
Perceptual Hash:870f0f0f0f0f0f0f
Difference Hash:c000000000000000
Wavelet Hash:00fff0f0f0f0f0f0
Color Hash:#2dd24e

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data