Security Scan Report: liberal-blush-7jeyqwihbc-5vfsj0z2aa.edgeone.app

Submitted: Mar 14, 2026, 12:31:32 AMCompleted: Mar 14, 2026, 12:33:25 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is liberal-blush-7jeyqwihbc-5vfsj0z2aa.edgeone.app and was registered NaN years ago.

Submitted URL: https://liberal-blush-7jeyqwihbc-5vfsj0z2aa.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: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'liberal-blush-7jeyqwihbc-5vfsj0z2aa.edgeone.app' is registered with subdomain 'liberal-blush-7jeyqwihbc-5vfsj0z2aa'. The core label 'edgeone' covers 7 characters with 4 vowels and 3 consonants. Word splitting yields two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://liberal-blush-7jeyqwihbc-5vfsj0z2aa.edgeone.app/

Page Load Overview

2.85s
Total Load Time
64
HTTP Requests
3
Domains
13 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
0
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
3265.9.175.111United States
AS16509Amazon.com, Inc.
3243.152.26.58Singapore
642--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T152E0C0FB4B89E80A44380C4C19D86A1D1F0BE249B44088E0E985F0051DCC3C555E2344

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzx/XnAqIbDHhdAXIE3nLuNVQt6cnFmktVHHnKoJDov5ePXvnu9rE233tmnHCnb8:kx/XAq2qnAVPcnF5nHZyv5ovME2NQinI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:fa6f61ca10f50638d56de9648f87274a

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#9bc587

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

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