Security Scan Report: restaurant-money-model-quick-flow-8ztakwumwj.edgeone.app

Submitted: Feb 7, 2026, 3:20:37 AMCompleted: Feb 7, 2026, 3:22:10 AMpubliccompleted
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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 restaurant-money-model-quick-flow-8ztakwumwj.edgeone.app and was registered NaN years ago.

Submitted URL: https://restaurant-money-model-quick-flow-8ztakwumwj.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 security concerns detected; site appears legitimate but currently unreachable.

Safety Factors
Well-established domain (> 365 days)
No credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware detected
Site returns standard error page (no phishing content)
Domain age information unavailable

Details

Page Title

restaurant-money-model-quick-flow-8ztakwumwj.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(77%)

Domain Information

The domain 'restaurant-money-model-quick-flow-8ztakwumwj.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'restaurant-money-model-quick-flow-8ztakwumwj'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and 3 consonants. Breaking it apart gives 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://restaurant-money-model-quick-flow-8ztakwumwj.edgeone.app/

Page Load Overview

8.11s
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:864 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software77% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
77%
documentation technical
54%
adult content
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A0048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:TfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz02bMy8OldK:shoC9JSqzzbs6o3Sj3gcrsg2eAw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184671:MkBCoLKBgQshhgCsYQIiYGkFawJYoXBqAAwiBhFCgGyNiCkizDECICOdaHU4ISAKISCPFArAFESIhU1lAQhDQA4gSOJGQWCS

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:fcdcc0c4f0f0f0f0
Color Hash:#2d7b86

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data