Security Scan Report: accepted-tomato-4zncg3grzq-8vubumx7x5.edgeone.app

Submitted: Jan 31, 2026, 10:07:50 PMCompleted: Jan 31, 2026, 10:09:01 PMpubliccompleted
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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 accepted-tomato-4zncg3grzq-8vubumx7x5.edgeone.app and was registered NaN years ago.

Submitted URL: https://accepted-tomato-4zncg3grzq-8vubumx7x5.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Well-established domain (>2 years old)
Low risk category (Minimal)
No malicious Indicators of Compromise
No credential or payment collection forms
Cisco Umbrella ranking low but not unranked
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

social media network

(81%)

Domain Information

You're looking at domain 'accepted-tomato-4zncg3grzq-8vubumx7x5.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'accepted-tomato-4zncg3grzq-8vubumx7x5'. The registrable portion 'edgeone' spans 7 characters containing four vowels alongside 3 consonants. Splitting it apart reveals 2 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://accepted-tomato-4zncg3grzq-8vubumx7x5.edgeone.app/

Page Load Overview

0.56s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
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
HTML Lang Attribute:zh
Text Length:93 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

social media network81% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
81%
news media journalism
47%
government public service
38%
download file sharing
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

T1CC02C6CAEB9305C9A81BC0692FFF5724222DE057C448CD5DB9AE4F548F4518875EB3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBNh1RaXQl:KrzhNK/lMHmGgdkqed

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8781:IAUC13AKFQMwtF0cgX+ChAAiSAmkDQRAMFiJiAACiDKaAIEKBsR0w0qAiY8CANaAgTi8VwAmTEBaBApBIiIGSCqTOCbXAAEB

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:dcfcfcd0e0e0c0c0
Perceptual Hash:da9a989c6c6561e3
Difference Hash:3038480000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#ca6ce0

Other Hashes

Crop Resistant:3038480000000000

Scan History

Scan history not available

Unable to load historical scan data