Security Scan Report: circular-tomato-jv9bga9lt1-cjjbcfupd9.edgeone.app

Submitted: Apr 27, 2026, 10:48:51 AMCompleted: Apr 27, 2026, 10:50:09 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is circular-tomato-jv9bga9lt1-cjjbcfupd9.edgeone.app and was registered NaN years ago.

Submitted URL: https://circular-tomato-jv9bga9lt1-cjjbcfupd9.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: 72%

2
Risk Score

Low risk site; no malicious activity detected, but subdomain age is unknown.

Risk Factors
Subdomain on hosting platform with unknown creation date
Low domain ranking (455,732) in Cisco Umbrella
Safety Factors
No malicious indicators or IDS alerts
No credential exfiltration or suspicious JavaScript behavior
No external links or redirects
Domain age information unavailable

Details

Page Title

Shake Surprise 🎁

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

entertainment media

(44%)

Domain Information

The domain name 'circular-tomato-jv9bga9lt1-cjjbcfupd9.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'circular-tomato-jv9bga9lt1-cjjbcfupd9'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and 3 consonants. Word splitting yields two 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://circular-tomato-jv9bga9lt1-cjjbcfupd9.edgeone.app/

Page Load Overview

0.37s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
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:50 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media44% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
44%
healthcare medical
44%
news media journalism
43%
government public service
26%

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

T115911F6224F3101964178394AFFB5B0C2328D103A817DD7DB79D618B0FC59AC879AFD2

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TiBYd0jSvWialnLUzn+S3PSQSMUPwJJr0x1WA:OBYd0jSvWialn8n+S3PSQSMUPwJ50x1/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4311:gAYBBxAMAGUEQAgGoCGABSIgAAEEMgCASQRAkABSIoCEA0QgKxBERkBBRAgAwDIDGAQgACAUYggMAgggCAHCAIEUCMACAArE

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:e7c3c3c3c3c3c3e7
Perceptual Hash:b388cc663399cc6e
Difference Hash:0f0f0f0f0f0f0f0f
Wavelet Hash:c3c3c3c3c3c3c3c3
Color Hash:#3a7865

Other Hashes

Crop Resistant:0f0f0f0f0f0f0f0f

Scan History

Scan history not available

Unable to load historical scan data