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Security Scan Report: smiling-tomato-vlzigw9u2f-xqhp4e3niw.edgeone.app

Submitted: Mar 29, 2026, 4:49:21 PMCompleted: Mar 29, 2026, 4:50:39 PMpubliccompleted
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Summary

This website contacted 3 IPs in 3 countries across 3 domains to perform 1 HTTP transaction. The main domain is smiling-tomato-vlzigw9u2f-xqhp4e3niw.edgeone.app and was registered NaN years ago.

Submitted URL: https://smiling-tomato-vlzigw9u2f-xqhp4e3niw.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

Low risk site with no malicious activity; likely a harmless personal page.

Risk Factors
Subdomain on edgeone.app with unknown creation date (potentially new)
Safety Factors
No password, email, or payment fields present
No external malicious links detected
No suspicious JavaScript behavior
No Indicators of Compromise matches
Page appears to be a simple informational/placeholder page
Domain age information unavailable

Details

Page Title

For Kaur Ji 🥺

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'smiling-tomato-vlzigw9u2f-xqhp4e3niw.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'smiling-tomato-vlzigw9u2f-xqhp4e3niw'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside 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://smiling-tomato-vlzigw9u2f-xqhp4e3niw.edgeone.app/

Page Load Overview

1.19s
Total Load Time
4
HTTP Requests
3
Domains
237 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:94 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
1146.75.121.32Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1192.163.208.117United States
AS46606Unified Layer
43--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13151E977A4A107002193E2803D93C7882C30690B9F478DEC7DED95E0CFCEA5510BB2AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TCupatxS+MicvrfY3WkZqZdhRxJcpEISJZ/29+7iOtmmy3+YFG:TCuIRMiczfYmuqZJxJlJZ/o9D3LG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2886:AAAABAIAiUAQAJiRAgQAIAUQCgBAICgEAAAAmCAAAAEAEYAIAiBAECABAjACAAAAABGQAAACgQEIAAgAABqAACAQB4UIIEEC

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:ffffe7e7ffe7ffff
Perceptual Hash:b326cc99b3266699
Difference Hash:08108c8c88881100
Wavelet Hash:0c0ce7e7e7e7c0c0
Color Hash:#40bfb3

Other Hashes

Crop Resistant:08108c8c88881100

Scan History

Scan history not available

Unable to load historical scan data