Security Scan Report: unhappy-yellow-z9zmbnduyr-blgufvk0ag.edgeone.app

Submitted: Feb 24, 2026, 7:03:59 AMCompleted: Feb 24, 2026, 7:05:17 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is unhappy-yellow-z9zmbnduyr-blgufvk0ag.edgeone.app and was registered NaN years ago.

Submitted URL: https://unhappy-yellow-z9zmbnduyr-blgufvk0ag.edgeone.app/

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Love Story With JANNAT πŸ’–

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(53% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'unhappy-yellow-z9zmbnduyr-blgufvk0ag.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'unhappy-yellow-z9zmbnduyr-blgufvk0ag'. The registrable portion 'edgeone' spans 7 characters split between four vowels and three consonants. Segmentation suggests two 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://unhappy-yellow-z9zmbnduyr-blgufvk0ag.edgeone.app/

Page Load Overview

0.48s
Total Load Time
5
HTTP Requests
3
Domains
44 KB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:53%
Script Type:Latin
Text Length:146 chars
Detector Agreement:100%

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
3142.251.127.94United States
AS15169Google LLC
143.152.26.58Singapore
1142.250.187.202United States
AS15169Google LLC
53--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DE51939AA5E31922618F655A3BF30B5634348407890FDA0839ED63809FD2DA392A335D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:yIZfFYE5W7/fvgppH1cbKHo6fxGAPqPa9cyCqFyyZHn:yafFYMWjfYppHeKBGAP/cyCqyyZn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3078:E4AhMGQgAUAEBEAwwAqYAARAFEUAQAACQYBBAIgERAIBAAIAEEAAAgCAgAACAAAAAACCApAQQAcAQDDKAAIACQjAAoABAAAY

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:07070707270f3f3f
Perceptual Hash:a34ccc3373cc8973
Difference Hash:dff7ff4fcfcebfff
Wavelet Hash:03070f07071f3f3f
Color Hash:#87c58f

Other Hashes

Crop Resistant:dff7ff4fcfcebfff

Scan History

Scan history not available

Unable to load historical scan data