Security Scan Report: general-coffee-2xqvpdc5yg-jw9qt2r5yo.edgeone.app

Submitted: Mar 7, 2026, 3:39:49 PMCompleted: Mar 7, 2026, 3:41:23 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 14 HTTP transactions. The main domain is general-coffee-2xqvpdc5yg-jw9qt2r5yo.edgeone.app and was registered NaN years ago.

Submitted URL: https://general-coffee-2xqvpdc5yg-jw9qt2r5yo.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%

1
Risk Score

No suspicious indicators detected; the site appears legitimate.

Safety Factors
Hosted on a standard subdomain (edgeone.app) with no known malicious activity
No cross‑origin credential exfiltration observed
No redirects or external domains referenced
No network IDS alerts triggered
Domain age information unavailable

Details

Page Title

Happy Legal Day, Hani!

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(66%)

Domain Information

The domain 'general-coffee-2xqvpdc5yg-jw9qt2r5yo.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'general-coffee-2xqvpdc5yg-jw9qt2r5yo'. The core label 'edgeone' covers 7 characters with four vowels and 3 consonants. Breaking it apart gives 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://general-coffee-2xqvpdc5yg-jw9qt2r5yo.edgeone.app/

Page Load Overview

8.18s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:840 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software66% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
66%
documentation technical
38%
adult content
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1146.75.120.193Singapore
043.152.26.58Singapore
0199.232.196.193Singapore
13--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T113B1654BBAD30005A94380945FEA5B9477B8C1039545CEBE7BDC62CACF495EC9BD3788

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TBrJjfPEfHc9e195QicSR+LiV4W3VxoVImVGM8Vq6V1DOQirCw8E7LMiNTKbRQiR:VrJjnEU9eX5QicSR+LiV4W3VxoVImVGX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5387:GIDAqiYIECBCbMJQAIUYAGURCgKARNAAAIKAYggiQCBDcKAmIOAiCxSGAIBSkg0NBBAADAIAgSEAgUUFMABAFJCEMQAKMATK

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:ffe7c3c3dbdbe7ff
Perceptual Hash:cc663399996666cc
Difference Hash:00089696b2960810
Wavelet Hash:3c3c1800dbc3c3ff
Color Hash:#6ce0c1

Other Hashes

Crop Resistant:00089696b2960810

Scan History

Scan history not available

Unable to load historical scan data