Security Scan Report: developer-nafis-bathday-surprise-wish-xbhod4yak0.edgeone.app

Submitted: Apr 29, 2026, 10:59:24 PMCompleted: Apr 29, 2026, 11:00:41 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 6 HTTP transactions. The main domain is developer-nafis-bathday-surprise-wish-xbhod4yak0.edgeone.app and was registered NaN years ago.

Submitted URL: https://developer-nafis-bathday-surprise-wish-xbhod4yak0.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: 72%

2
Risk Score

Low risk site; no malicious activity detected, but subdomain age is unknown.

Risk Factors
Low domain ranking (outside top 100K)
Subdomain age unknown, could be newly created
Safety Factors
No login, payment, or credential collection forms
No malicious Indicators of Compromise
No JavaScript malware YARA matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

Happy Birthday!

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(68%)

Domain Information

Domain 'developer-nafis-bathday-surprise-wish-xbhod4yak0.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'developer-nafis-bathday-surprise-wish-xbhod4yak0'. The core label 'edgeone' covers 7 characters split between four vowels and 3 consonants. Word splitting yields two 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://developer-nafis-bathday-surprise-wish-xbhod4yak0.edgeone.app/

Page Load Overview

0.48s
Total Load Time
6
HTTP Requests
4
Domains
31 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:62 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism68% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
68%
entertainment media
57%
healthcare medical
53%
government public service
47%
adult content
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.251.20.94United States
AS15169Google LLC
143.152.26.58Singapore
1192.178.183.95United States
AS15169Google LLC
1142.251.110.94United States
AS15169Google LLC
64--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T194C1A7163AAB10210D87D5E13BF683683432AD076B57C5583D2E4600CFCCE797CABAE4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TCuC1rWIavqnyuve3+rJtDSde339VNXzj9UsBtSCFgdq7FRMj:AgvqnyuveOrJtD4q/SCFCARMj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5965:GhASAgESkVXgAAFDAA1UkMQCYwEQBAgIiBQhAFEFEhIEwgggCAoABKLAkARJgABQGEMEWAWCsxUgJAQCJCJ6EoEihACaoAiA

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:0000001818000000
Perceptual Hash:cc3333cccc3333cc
Difference Hash:0000001030000000
Wavelet Hash:0000141c3c343030
Color Hash:#25931f

Other Hashes

Crop Resistant:0000001030000000

Scan History

Scan history not available

Unable to load historical scan data