Security Scan Report: empty-beige-gfcucyomfy-j3ezoslsts.edgeone.app

Submitted: Jan 31, 2026, 3:16:28 PMCompleted: Jan 31, 2026, 3:17:59 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is empty-beige-gfcucyomfy-j3ezoslsts.edgeone.app and was registered NaN years ago.

Submitted URL: https://empty-beige-gfcucyomfy-j3ezoslsts.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 suspicious activity detected; site appears legitimate.

Safety Factors
Established domain age (>2 years)
No login or payment forms
No malicious Indicators of Compromise
Standard hosting environment
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇵🇱

Polish

(60% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'empty-beige-gfcucyomfy-j3ezoslsts.edgeone.app' is registered, featuring subdomain 'empty-beige-gfcucyomfy-j3ezoslsts'. The second-level label 'edgeone' is 7 characters long holding four vowels versus three consonants. Splitting it apart reveals 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://empty-beige-gfcucyomfy-j3ezoslsts.edgeone.app/

Page Load Overview

0.38s
Total Load Time
2
HTTP Requests
1
Domains
4 KB
Total Size

Language Analysis

Primary Language

🇵🇱Polish
Code: pl
Confidence:60%
Script:Latin
Direction:ltr

Detection Details

Language Code:pl
Detection Confidence:60%
Script Type:Latin
Text Length:43 chars
Detector Agreement:100%

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

T1DDE0C09C60128C13681273915D6BA74E3458D603EF8F92984686C8A159E9712071E78C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:haxO96v6OqisLFMYobBqVj9kucCuFUaeI9vRsL9hf+bJf9NALbDRd7HHk4YKKqz:haxPvxG+MMucCuFmI9vRqfMJVeDRRnE4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:a187e3018071c46d979b726b52ca7121

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:e7e7ffffffffffff
Perceptual Hash:b333333333333323
Difference Hash:0c08000000000000
Wavelet Hash:07070f0f0f0f0f0f
Color Hash:#d2ce79

Other Hashes

Crop Resistant:0c08000000000000

Scan History

Scan history not available

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