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Security Scan Report: magic-amaranth-zs1e05skq0-kslne2978z.edgeone.app

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Submitted: Jan 16, 2026, 2:20:46 AMCompleted: Jan 16, 2026, 2:22:18 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 44 HTTP transactions. The main domain is magic-amaranth-zs1e05skq0-kslne2978z.edgeone.app and was registered NaN years ago.

Submitted URL: https://magic-amaranth-zs1e05skq0-kslne2978z.edgeone.app/

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

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Impersonates Al Khair on a low‑ranked domain; likely phishing – do not provide data.

Risk Factors
Brand impersonation on a non‑official, low‑ranked domain
Low Cisco Umbrella ranking for a site claiming a known brand
Garble‑like OCR text suggesting social‑engineering tactics
Domain age information unavailable

Details

Page Title

Al Khair - Premium Arabian Luxury Fragrances | Attars & Perfumes

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(48%)

Domain Information

The domain name 'magic-amaranth-zs1e05skq0-kslne2978z.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'magic-amaranth-zs1e05skq0-kslne2978z'. The second-level label 'edgeone' is 7 characters long with four vowels and 3 consonants. Tokenizing the label suggests two 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://magic-amaranth-zs1e05skq0-kslne2978z.edgeone.app/

Page Load Overview

1.36s
Total Load Time
38
HTTP Requests
2
Domains
23.6 MB
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:2,842 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network48% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
48%
entertainment media
41%
healthcare medical
36%
blog personal website
36%
government public service
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1943.152.26.58Singapore
AS139341ACE
19172.64.149.246United States
AS13335CLOUDFLARENET
382--

Detected Technologies1

Open-Graph-Protocolvwebsite
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17D93C7386248172CA51B87E4F6E4B33C912ED399EB2B8859F3AC01B757C2D84E9375D4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:6Xx/c64Jysq7vxGusssspssss7ssssac75:6zPd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:95660:BUCIshgxgcFlBHLnC7BAA2IyAQKDSg4KQBoETKcKKgyBxQGBBFwAlIE4EIDCxgYRGIIeUqZEIguBAEaQRiHBywCkwhFgxVXA

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:000000000b0fffff
Perceptual Hash:ab44c629d656abe4
Difference Hash:810109191b1b0949
Wavelet Hash:0101050f0f0fffff
Color Hash:#5ed22d

Other Hashes

Crop Resistant:b3b7b0b5b4b4b4b3,0220a48da5a0a000,14689696960c2080,810109191b1b0949

Scan History

Scan history not available

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