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Security Scan Report: aaminahappi-pmu4tmlxk0.edgeone.app

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Submitted: May 8, 2026, 8:58:44 PMCompleted: May 8, 2026, 9:00:09 PMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 14 HTTP transactions. The main domain is aaminahappi-pmu4tmlxk0.edgeone.app and was registered NaN years ago.

Submitted URL: https://aaminahappi-pmu4tmlxk0.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: 82%

3
Risk Score

Low risk site; unknown-age subdomain with heavy JS obfuscation but no malicious indicators.

Risk Factors
Unknown subdomain age on a hosting platform
Highly obfuscated JavaScript code
Low domain reputation ranking
Safety Factors
No forms or credential fields present
No malicious Indicators of Compromise detected
No JavaScript malware YARA matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

For Aamina - My Favorite Flower

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(39%)

Domain Information

You're looking at domain 'aaminahappi-pmu4tmlxk0.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'aaminahappi-pmu4tmlxk0'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus three consonants. Segmentation suggests 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aaminahappi-pmu4tmlxk0.edgeone.app/

Page Load Overview

1.84s
Total Load Time
14
HTTP Requests
6
Domains
395 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:2,519 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning39% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.250.154.95United States
AS15169Google LLC
245.43.142.2United Kingdom
AS16276OVH SAS
243.152.26.58Singapore
AS139341ACE
2142.251.110.94United States
AS15169Google LLC
2104.26.3.143United States
AS13335Cloudflare, Inc.
2104.17.25.14United States
AS13335Cloudflare, Inc.
146--

Detected Technologies1

Tailwind CSS
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T129C20A6D76A110373C6380F3E786BA0EFB38D0C7DA1BD5697A8D4101BFEB9654497248

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:rFrE9h8YghL77SqJXzR9mzcovRxQAukbovvag24/qaKi5GAq:rFrE9eYghn7S4R9aBQAukbovz7qaQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:27433:yAaiABdM5VwAYNjISpADQQBySQCQFSm8waAItCYkMXD4NNGKoJkEx2AQHyuiQTopFpJRhlgHGJABZAEnyEopIsCQubWgR4AB

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:18193d3d19193d19
Perceptual Hash:8a7722ccdd2326dc
Difference Hash:f1f1e1f1f1f1e9f1
Wavelet Hash:19193d3d3d3d1919
Color Hash:#56862d

Other Hashes

Crop Resistant:f1f1e1f1f1f1e9f1

Scan History

Scan history not available

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