Security Scan Report: usual-coffee-etakxesf9g-cs6bn2mwc7.edgeone.app

Submitted: Mar 27, 2026, 11:30:34 PMCompleted: Mar 27, 2026, 11:31:41 PMpubliccompleted
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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 usual-coffee-etakxesf9g-cs6bn2mwc7.edgeone.app and was registered NaN years ago.

Submitted URL: https://usual-coffee-etakxesf9g-cs6bn2mwc7.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: 92%

0
Risk Score

No malicious activity detected; site appears legitimate.

Safety Factors
No credential or payment forms present
No suspicious JavaScript behavior
Hosted on a known platform (edgeone.app) with no malicious activity
Domain age unknown but no other risk indicators
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(74% confidence)

Category

documentation technical

(74%)

Domain Information

The domain 'usual-coffee-etakxesf9g-cs6bn2mwc7.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'usual-coffee-etakxesf9g-cs6bn2mwc7'. Count 7 characters in 'edgeone' split between 4 vowels and three consonants. Breaking it apart gives 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://usual-coffee-etakxesf9g-cs6bn2mwc7.edgeone.app/

Page Load Overview

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

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:74%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:74%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:92 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical74% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
74%
real estate property
32%

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

T1C212FACAEBE306C8681BC4682FFF5725222DE013C449C94DB9AE0F548F4418471FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBrwnhMwNh1RaXQl:KrzhNK/lMHmGgdkqjNd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9638:IAUC3nAyhQNQNBUUIU2gjAAjnAC0DQQwNFAJBAFDirBUQaMIAMW9wwKATYcCIMaAgTqcVQAmSEBaBAhDZAImCCoCOiaeAEEB

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:#40bfb3

Other Hashes

Crop Resistant:3030700000000000

Scan History

Scan history not available

Unable to load historical scan data