Security Scan Report: rude-coffee-bldigxvsi4-rerpvzrkuq.edgeone.app

Submitted: Feb 3, 2026, 8:37:46 AMCompleted: Feb 3, 2026, 8:38:57 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 rude-coffee-bldigxvsi4-rerpvzrkuq.edgeone.app and was registered NaN years ago.

Submitted URL: https://rude-coffee-bldigxvsi4-rerpvzrkuq.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 (>365 days)
Minimal risk category from domain age analysis
No forms collecting sensitive data
No malicious Indicators of Compromise
No external links or redirects
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(75% confidence)

Category

adult content

(28%)

Domain Information

You're looking at domain 'rude-coffee-bldigxvsi4-rerpvzrkuq.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'rude-coffee-bldigxvsi4-rerpvzrkuq'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside three consonants. Segmentation suggests 2 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://rude-coffee-bldigxvsi4-rerpvzrkuq.edgeone.app/

Page Load Overview

2.88s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:75%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:75%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:75 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

adult content28% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
28%
healthcare medical
28%
news media journalism
26%

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

T11602D7CAEBA705C8682BC0682FFB5324222DE013C449CD5DB99E1F548F0518875EB3B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBFrph1RaXQl:KrzhNK/lMHmGgdkqUd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8753:IQUC1nAWBwuSNBUcAU2AhAIqSECEjQQIMNAJAAECuDKSBIEIEMR0w0KCCYdCkdaAgTie1aAmaEJaBClDCAYWDCsCeCaWAAUF

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:dcfcfce0e0e0c0c0
Perceptual Hash:da9a983c6c6563c3
Difference Hash:3038500000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#87c5af

Other Hashes

Crop Resistant:3038500000000000

Scan History

Scan history not available

Unable to load historical scan data