Security Scan Report: grumpy-aqua-srcltu6a5l-fxktcb9owk.edgeone.app

Submitted: Mar 10, 2026, 10:40:25 PMCompleted: Mar 10, 2026, 10:41:43 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 grumpy-aqua-srcltu6a5l-fxktcb9owk.edgeone.app and was registered NaN years ago.

Submitted URL: https://grumpy-aqua-srcltu6a5l-fxktcb9owk.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: 85%

2
Risk Score

Legitimate booking form; no malicious signs, but subdomain age unknown, so exercise caution.

Risk Factors
Subdomain on a hosting platform with unknown creation date (moderate suspicion)
Low Cisco Umbrella ranking
Safety Factors
No credential or payment collection fields
No JavaScript malware patterns detected
No network IDS alerts
Cross‑origin requests absent
Page appears to be a simple booking form
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

The domain name 'grumpy-aqua-srcltu6a5l-fxktcb9owk.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'grumpy-aqua-srcltu6a5l-fxktcb9owk'. Count 7 characters in 'edgeone' with four vowels and 3 consonants. It segments into 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://grumpy-aqua-srcltu6a5l-fxktcb9owk.edgeone.app/

Page Load Overview

0.36s
Total Load Time
2
HTTP Requests
1
Domains
8 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:3,213 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

T1F69254513BA20461F75350E15BE58B9B6798F30BE20D8AC0B9DCD5B84F88D68E53763C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:VrSd6Uz2wGsgbzfuseanG4oBj7gUtqJqy7T70L02y7xUdbwvtxcpKhl+2pbYItho:VrSXufuPhgsqJqy36y7uwtxcpPR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20316:MnHsJAwTMUDaBAqqNMu3AJvEwxJhKAQHAriAAgqAAi4URoBAYZFAJSuBqRYCdQRIhBIEf0KwIGTgkUkYJiKAhEMEVGGCaQM2

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:#931f27

Other Hashes

Crop Resistant:9696696929796969

Scan History

Scan history not available

Unable to load historical scan data