Security Scan Report: welcome-tomato-zecycom7q5-0y5sjcu15n.edgeone.app

Submitted: Mar 20, 2026, 1:05:29 AMCompleted: Mar 20, 2026, 1:06:46 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is welcome-tomato-zecycom7q5-0y5sjcu15n.edgeone.app and was registered NaN years ago.

Submitted URL: https://welcome-tomato-zecycom7q5-0y5sjcu15n.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: 88%

2
Risk Score

No malicious activity detected; appears to be a benign privacy policy page.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected (YARA scan clean)
No network IDS alerts
Hosted on a known platform (edgeone.app) with no suspicious behavior
Domain age information unavailable

Details

Page Title

SnapAI Privacy Policy

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(60%)

Domain Information

Domain 'welcome-tomato-zecycom7q5-0y5sjcu15n.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'welcome-tomato-zecycom7q5-0y5sjcu15n'. The core label 'edgeone' covers 7 characters split between four vowels and 3 consonants. Tokenizing the label suggests 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://welcome-tomato-zecycom7q5-0y5sjcu15n.edgeone.app/

Page Load Overview

0.32s
Total Load Time
2
HTTP Requests
1
Domains
4 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:7,261 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software60% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
60%
documentation technical
37%

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

T1A672A5AF95F71265184772A3FFE69755AF36900B522CA9023CEC434C8F94B698E9334C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:R5j0GfMpwXVbaeUOuyw0aJaWqUMDPRk5PcL8S3gk/PuvDew6r8GY60WjcjCCjZgp:R5IgGWWqrzItUr8t60jZgA1Q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16150:QAI4hFAAhSgIEIdEAiDCci6pQ4AMMAQtEQKCOlCAJoEAHKIpgFAhgonoZhFYBk7YeBoCkUCCmgEEcDihgIpBASAW4BQggOXc

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:f1f1c1f8f8381c18
Perceptual Hash:cde666c399383133
Difference Hash:6763077353537171
Wavelet Hash:e1f1c1f9b8383c38
Color Hash:#40a4bf

Other Hashes

Crop Resistant:6763077353537171

Scan History

Scan history not available

Unable to load historical scan data