Security Scan Report: appropriate-coffee-alrkr9srfu-dn2xfp2ha4.edgeone.app

Submitted: Apr 3, 2026, 7:08:04 AMCompleted: Apr 3, 2026, 7:09:11 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is appropriate-coffee-alrkr9srfu-dn2xfp2ha4.edgeone.app and was registered NaN years ago.

Submitted URL: https://appropriate-coffee-alrkr9srfu-dn2xfp2ha4.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: 93%

0
Risk Score

No suspicious activity detected; the site appears benign.

Safety Factors
No credential or payment forms present
Hosted on a known platform (edgeone.app) with no suspicious activity
Unranked domain but no malicious indicators
No external domains or cross‑origin requests
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(56%)

Domain Information

The domain name 'appropriate-coffee-alrkr9srfu-dn2xfp2ha4.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'appropriate-coffee-alrkr9srfu-dn2xfp2ha4'. Count 7 characters in 'edgeone' with four vowels and 3 consonants. It segments into two 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://appropriate-coffee-alrkr9srfu-dn2xfp2ha4.edgeone.app/

Page Load Overview

0.51s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:126 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical56% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
56%

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

T15F22C8C5EBE71AC8681BC0686FFF5725222DE013D448C95CB99E0F648F4518475FB2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBI7dCh/7Klh/3pXh1RaXQl:KrzhNK/lMHmGgdkqVdCBKlXd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10612:IIUCXnIgHQMQNJ0EIUWQiAMiKBCuKQcgEFIJAwAKqDAQAJEcBYY2y0CcXadDJMaAgTicVQgmSEFaBRhEYDoGCCoCOSaGAFEH

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:dcfcfcfcc0808000
Perceptual Hash:da9a386c6cc69363
Difference Hash:3030706000000000
Wavelet Hash:dcfcfcfce0e0c080
Color Hash:#a66ce0

Other Hashes

Crop Resistant:3030706000000000

Scan History

Scan history not available

Unable to load historical scan data