Security Scan Report: minimal-green-tvrwpktqoo-gvr806193w.edgeone.app

Submitted: Mar 6, 2026, 7:47:52 PMCompleted: Mar 6, 2026, 7:49:12 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is minimal-green-tvrwpktqoo-gvr806193w.edgeone.app and was registered NaN years ago.

Submitted URL: https://minimal-green-tvrwpktqoo-gvr806193w.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: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Happy Holi Sister πŸŽ¨πŸ’–

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain 'minimal-green-tvrwpktqoo-gvr806193w.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'minimal-green-tvrwpktqoo-gvr806193w'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside three consonants. It segments into 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://minimal-green-tvrwpktqoo-gvr806193w.edgeone.app/

Page Load Overview

0.97s
Total Load Time
3
HTTP Requests
1
Domains
9 KB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:282 chars
Detector Agreement:67%

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
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15C61450AC6F30607A413A0AD3BB3D36A75F4810BE50EC9543DED7284CF866A595973DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:tX66FwdBSCzD8EzhGGGChhdPisieG8U4pQ1W1Pu:tq6Fy0+QaCcPisi7yu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3260:IIBREIACBAICEQIgUAAAlKQARFAGQAAAAQIZhIBACQFAAAAAARAACAgEACJAAAgggCiKIQEEEAARIwAAAQAEAAAEAKCBgCgh

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:ffe7e7ffffffffe7
Perceptual Hash:e366338c99993366
Difference Hash:000c0c0000000008
Wavelet Hash:3f27071f0c0c3c24
Color Hash:#6ccee0

Other Hashes

Crop Resistant:000c0c0000000008

Scan History

Scan history not available

Unable to load historical scan data