Security Scan Report: unemployed-purple-l4zryzvmx9-zicfecaami.edgeone.app

Submitted: Mar 10, 2026, 9:48:36 AMCompleted: Mar 10, 2026, 9:50:08 AMpubliccompleted
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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 unemployed-purple-l4zryzvmx9-zicfecaami.edgeone.app and was registered NaN years ago.

Submitted URL: https://unemployed-purple-l4zryzvmx9-zicfecaami.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: 92%

2
Risk Score

No malicious activity detected; low risk despite a newly created subdomain on a hosting platform.

Risk Factors
Subdomain on a free hosting platform (edgeone.app) with unknown creation date, which is a moderate‑suspicion indicator
Safety Factors
No credential‑harvesting or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
No IDS alerts
Page title and OCR text are generic and do not impersonate any brand
Domain age information unavailable

Details

Page Title

Test

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'unemployed-purple-l4zryzvmx9-zicfecaami.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'unemployed-purple-l4zryzvmx9-zicfecaami'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus 3 consonants. Segmentation suggests two 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://unemployed-purple-l4zryzvmx9-zicfecaami.edgeone.app/

Page Load Overview

0.33s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:17 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EDD023D51863B813053021800CC7F1543CF4809CD645C6A075CD99DF74907B9C99F5C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:PouVIZxwvOAW/v5AEtvxL5HdFX+8M7AXXkiLkpMCMQXO8MsrKGXA0v0BYL3+Kqz:haxwWyEdxM+/LnPTJG98BYKKqz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:392920aaf46df9f5f21840fd2b93d215

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:7fffffffffffffff
Perceptual Hash:870707070f0f1f3f
Difference Hash:8000000000000000
Wavelet Hash:40c0c0c000000000
Color Hash:#6e6ce0

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data