Security Scan Report: logical-coffee-u9pt3szm7h-ybek2082lh.edgeone.app

Submitted: Mar 28, 2026, 3:39:14 AMCompleted: Mar 28, 2026, 3:40:26 AMpubliccompleted
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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 logical-coffee-u9pt3szm7h-ybek2082lh.edgeone.app and was registered NaN years ago.

Submitted URL: https://logical-coffee-u9pt3szm7h-ybek2082lh.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 68%

4
Risk Score

Moderate risk due to new subdomain on edgeone.app; no malicious indicators detected but file download is unverified.

Risk Factors
New or unknown-age subdomain on a free hosting platform
Offering a downloadable .ipa file from an unverified source
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware patterns detected
No network IDS alerts
No cross‑origin credential exfiltration observed
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(73% confidence)

Category

documentation technical

(64%)

Domain Information

The domain name 'logical-coffee-u9pt3szm7h-ybek2082lh.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'logical-coffee-u9pt3szm7h-ybek2082lh'. The registrable portion 'edgeone' spans 7 characters containing four vowels alongside three consonants. Tokenizing the label suggests two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://logical-coffee-u9pt3szm7h-ybek2082lh.edgeone.app/

Page Load Overview

0.37s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:73%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:73%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:88 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical64% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
64%
real estate property
45%
technology software
37%

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

T13B12E8C9EBE706C8681BC0682FFF5725222DE053C449C94CB99E0F548F4518475FB2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBY9h3Rh1RaXQl:KrzhNK/lMHmGgdkqvTd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9642:IBUi1nQSJaNQPVUWA02AhACiDACETQRAMFIJIAAiyTFYAIEIIMQ0wwKCCY8CQcaAgzicVwImTEV6BIzJIEIGqSoKPC6WAAEB

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:dcfcfcf0e0e0c0c0
Perceptual Hash:da9a986c6c65c3c3
Difference Hash:3030700000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#6ce070

Other Hashes

Crop Resistant:3030700000000000

Scan History

Scan history not available

Unable to load historical scan data