Security Scan Report: wasteful-rose-wtcldsojzb-0edrldo4zy.edgeone.app

Submitted: Mar 10, 2026, 3:52:00 PMCompleted: Mar 10, 2026, 3:53:18 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 wasteful-rose-wtcldsojzb-0edrldo4zy.edgeone.app and was registered NaN years ago.

Submitted URL: https://wasteful-rose-wtcldsojzb-0edrldo4zy.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: 82%

2
Risk Score

Legitimate booking form; no phishing or malware indicators detected

Safety Factors
Booking form with non-sensitive fields
No credential or payment collection
No suspicious scripts or redirects
Hosted on a standard platform without malicious activity
Domain age information unavailable

Details

Page Title

Gavino's Food Carts Booking Form

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(59%)

Domain Information

You're looking at domain 'wasteful-rose-wtcldsojzb-0edrldo4zy.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'wasteful-rose-wtcldsojzb-0edrldo4zy'. The core label 'edgeone' covers 7 characters holding four vowels versus 3 consonants. Splitting it apart reveals two 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://wasteful-rose-wtcldsojzb-0edrldo4zy.edgeone.app/

Page Load Overview

0.37s
Total Load Time
2
HTTP Requests
1
Domains
9 KB
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:3,287 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service59% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
59%
entertainment media
55%
adult content
55%
education learning
52%
documentation technical
49%

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

T11FA276A13BE248B0F65345E19EE98B9B6698F30BA20C89C079DCD5BC4F99C58D53353C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:VrSd6Uz2wGsgbzfuseanG4oBj78Y0NXJqy7u4h0V0L0Cj68/yhnUBhWv2uxGRKhV:VrSXufuPh8YsXJqyK4dj68/ywulxGR+r

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22793:EBYMAugGgT6OT8KAKocgQEmEhjlwKKAMGDYmUi4gxU6EUWpAAKO5VCoAIwRDcRAIBTeMoYjFQCAsGBHQAAA9XJWkAVQOAYQS

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:c383ffffffffffff
Perceptual Hash:bc6d656d93c29292
Difference Hash:9696696929796969
Wavelet Hash:8282bf3d3c3c3c3c
Color Hash:#2d98d2

Other Hashes

Crop Resistant:9696696929796969

Scan History

Scan history not available

Unable to load historical scan data