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Security Scan Report: traditional-tomato-d3ktxav25c-s7nltko39j.edgeone.app

Submitted: Mar 18, 2026, 7:02:05 AMCompleted: Mar 18, 2026, 7:03:26 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is traditional-tomato-d3ktxav25c-s7nltko39j.edgeone.app and was registered NaN years ago.

Submitted URL: https://traditional-tomato-d3ktxav25c-s7nltko39j.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 72%

4
Risk Score

Site shows moderate suspicion due to new subdomain and low ranking, but no malicious content detected.

Risk Factors
Subdomain on hosting platform with unknown age (moderate suspicion)
Low ranking in Cisco Umbrella (outside top 100k)
Safety Factors
No password, email, or payment fields present
No malicious JavaScript patterns detected
No network IDS alerts
Generic page title (Eid Mubarak) with no brand impersonation
Domain age information unavailable

Details

Page Title

Eid Mubarak

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

social media network

(99%)

Domain Information

The domain 'traditional-tomato-d3ktxav25c-s7nltko39j.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'traditional-tomato-d3ktxav25c-s7nltko39j'. The registrable portion 'edgeone' spans 7 characters with four vowels and three consonants. Tokenizing the label suggests two 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://traditional-tomato-d3ktxav25c-s7nltko39j.edgeone.app/

Page Load Overview

0.94s
Total Load Time
4
HTTP Requests
2
Domains
1.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:78 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network99% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
99%
healthcare medical
32%
government public service
31%
news media journalism
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
265.21.235.194Helsinki, Uusimaa, Finland
AS24940Hetzner Online GmbH
42--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12142E6F34E032C36946F86E651300B9FA4E5A6CBDB575D2502BC27A1BFD6C308A47987

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:QEU3jaoBChUaUtlx9YE+19W17QrfP0dU8V23ypSG6GTjKTP4S5XiCVPxxWflqIF:/caouc/x+pDW1QfP08ypDjMP4S5VPHW1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12208:1EwB0UoAgCeKJP84nD0OsyAGLwAKwWULAASIGSCmBNozAgQlghMmPkowyHJAHQAYAYCMRdgxECyZEqKEAIADFAu6dCg7PGNh

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:0000185a7e7c7eff
Perceptual Hash:d83b3389e47349c6
Difference Hash:b830b094f0f0d0c4
Wavelet Hash:0008085a7e7e7eff
Color Hash:#4a2d86

Other Hashes

Crop Resistant:b2b280cc4cac0096,b830b094f0f0d0c4

Scan History

Scan history not available

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