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Security Scan Report: happy-aquamarine-3picnp6tyv-w0ijmaq7oe.edgeone.app

Submitted: Mar 8, 2026, 11:06:48 AMCompleted: Mar 8, 2026, 11:08:24 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 1 HTTP transaction. The main domain is happy-aquamarine-3picnp6tyv-w0ijmaq7oe.edgeone.app and was registered NaN years ago.

Submitted URL: https://happy-aquamarine-3picnp6tyv-w0ijmaq7oe.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: 92%

2
Risk Score

No malicious activity detected; site appears benign despite being currently unreachable.

Safety Factors
Hosted on a known free hosting platform (edgeone.app)
Absence of credential or payment collection forms
No malicious JavaScript or YARA detections
No network IDS alerts
No cross‑origin credential exfiltration observed
Domain age information unavailable

Details

Page Title

For Nirmal Only...

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(71%)

Domain Information

Domain 'happy-aquamarine-3picnp6tyv-w0ijmaq7oe.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'happy-aquamarine-3picnp6tyv-w0ijmaq7oe'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and three consonants. Splitting it apart reveals 2 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://happy-aquamarine-3picnp6tyv-w0ijmaq7oe.edgeone.app/

Page Load Overview

8.16s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:846 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software71% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
71%
documentation technical
42%
adult content
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
AS139341ACE
037.27.227.73Singapore
AS139341
0146.75.122.208Singapore
AS139341
084.89.139.206Singapore
AS139341
14--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15DE1862939F70105664BD8773BE353097930E1075945DF493DDCA2709F82B0A66AA7EC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:kRprVn6Ff4Xv0pxpJm/Yg1R8ODJKVde8sPadJCJyI3nHwMj:HFMb/Yi8GKVk8sbyWHb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7036:BZlEh4UUtjAKIQRJrCETgK7DUCEkAZQAIEBAhgnkhAQxAAgKQEIJHDAA0AkACDIGR0AnggAawAoygYYLKExoF0YIklhRJABf

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:0000383818180000
Perceptual Hash:ccce3331cccecc32
Difference Hash:0000303030100000
Wavelet Hash:00003c3c18180000
Color Hash:#3a7853

Other Hashes

Crop Resistant:0000303030100000

Scan History

Scan history not available

Unable to load historical scan data