Security Scan Report: primary-coffee-rw3mkqamn7-m34bxxclws.edgeone.app

Submitted: Mar 14, 2026, 4:45:58 AMCompleted: Mar 14, 2026, 4:47:11 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 primary-coffee-rw3mkqamn7-m34bxxclws.edgeone.app and was registered NaN years ago.

Submitted URL: https://primary-coffee-rw3mkqamn7-m34bxxclws.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: 85%

2
Risk Score

No malicious activity detected; the site appears benign.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
Low JavaScript obfuscation score
Standard hosting platform subdomain without evidence of abuse
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇪🇸

Spanish

(52% confidence)

Category

government public service

(60%)

Domain Information

Domain 'primary-coffee-rw3mkqamn7-m34bxxclws.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'primary-coffee-rw3mkqamn7-m34bxxclws'. The second-level label 'edgeone' is 7 characters long holding four vowels versus 3 consonants. It segments into 2 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://primary-coffee-rw3mkqamn7-m34bxxclws.edgeone.app/

Page Load Overview

0.63s
Total Load Time
2
HTTP Requests
1
Domains
4 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:52%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:86 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as es

Website Classification

Primary Category

government public service60% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
60%
documentation technical
55%
adult content
44%

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

T1DD02B5CAEBA705C9A82BC4682FFF5724222DE017C448CD5DB99E5F548F0518875EA3B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB/dh1RaXQl:KrzhNK/lMHmGgdkqcd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8778:IAWi1nwSJaMQPRUeB02IhACiTACEDQQQMFAZKAACyDOSAIEIIMR0wwKCCY8CAfaAgzicVQAmTERaBInJIEIGCSoKPC6WAAEB

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:#3a7877

Other Hashes

Crop Resistant:3038500000000000

Scan History

Scan history not available

Unable to load historical scan data