Security Scan Report: low-amethyst-nvub9sdqyg-rdxkcgedtg.edgeone.app

Submitted: Nov 22, 2025, 10:28:35 PMCompleted: Nov 22, 2025, 10:29:46 PMpubliccompleted
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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 low-amethyst-nvub9sdqyg-rdxkcgedtg.edgeone.app.

Submitted URL: https://low-amethyst-nvub9sdqyg-rdxkcgedtg.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: 78%

3
Risk Score

Site shows low risk; no immediate malicious activity detected.

Risk Factors
Low ranking domain in Cisco Umbrella
Possibly newly registered domain
Safety Factors
No malicious Indicators of Compromise matches found
No credential‑collection or payment forms present
No external links or redirects
Domain age information unavailable

Details

Page Title

Happy National Princess Day β€” For Sanskruti πŸ’–

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'low-amethyst-nvub9sdqyg-rdxkcgedtg.edgeone.app' is registered, featuring subdomain 'low-amethyst-nvub9sdqyg-rdxkcgedtg'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and three consonants. Tokenizing the label suggests 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://low-amethyst-nvub9sdqyg-rdxkcgedtg.edgeone.app/

Page Load Overview

0.16s
Total Load Time
2
HTTP Requests
1
Domains
8 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:845 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
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

T11962C420A6A101315473C0927BD2174E2239E007DA2B898D77EDA293CF87DDDDEB76D9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:hrX4OAmCtMuNIozF2mPisxOM3hMuN1hMiag7YYiTOuMHOiqjOn8yMkNim2uZDot5:hr8ZOM3hMuN1hCt1TOHO3WYkMgZD4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15626:gCCBcMl06ohxAypAWoQAiAOIqiEBbiiANVJR4GcQaANHpACQjSFkMZIAoGIQAnBEeBSwwgfCzsFBImHS4VQR64bUELwMYREF

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:00283c2c2c3c2000
Perceptual Hash:931b6c6692366c6d
Difference Hash:146a686969694638
Wavelet Hash:00383c3c3cbda1ff
Color Hash:#78753a

Scan History

Scan history not available

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