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Security Scan Report: detailed-brown-f7tv8accxh-4iutvzfkpv.edgeone.app

Submitted: Feb 28, 2026, 12:57:42 PMCompleted: Feb 28, 2026, 12:59:22 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 14 HTTP transactions. The main domain is detailed-brown-f7tv8accxh-4iutvzfkpv.edgeone.app and was registered NaN years ago.

Submitted URL: https://detailed-brown-f7tv8accxh-4iutvzfkpv.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows a simple birthday message, contains no malicious code or forms, and poses no security threat.

Safety Factors
No credential or payment collection fields
No malicious Indicators of Compromise
No JavaScript malware detected
No IDS alerts indicating phishing or malware
Hosted on a standard subdomain (edgeone.app) with no suspicious activity
Domain age information unavailable

Details

Page Title

Happy Birthday Yashu 🎂

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(60%)

Domain Information

Domain 'detailed-brown-f7tv8accxh-4iutvzfkpv.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'detailed-brown-f7tv8accxh-4iutvzfkpv'. The core label 'edgeone' covers 7 characters containing four vowels alongside 3 consonants. It segments into 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://detailed-brown-f7tv8accxh-4iutvzfkpv.edgeone.app/

Page Load Overview

5.33s
Total Load Time
10
HTTP Requests
3
Domains
9.2 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:133 chars
Detector Agreement:50%

Website Classification

Primary Category

healthcare medical60% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
60%
adult content
51%
government public service
47%
news media journalism
39%
education learning
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.250.186.42Singapore
AS15169
343.152.26.58Singapore
AS139341
3142.250.201.67SingaporeUnknown
103--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FDC623307BD37D5A09711A3C60650E0F7FD0CC8BC56ADA84D68A75AAE1C86248FED7B1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

49152:yst7QcDgBhaajXUp96mxgd7kUwhwDVCb3VI4dONhueFT5phzCrtkzomjEW+vun+E:U

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12599131:66pgRQgCYaGKwQCBKIRnXERHFwpvSETX0gUIxhIioOIDwgQh9ArAjAQeCBHlMBRSQBrAADDojrRVwYggBMJMMQABUoFoD5iM

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:1818181818181919
Perceptual Hash:88dd337399cc668c
Difference Hash:3131b3b3b3b1b1b1
Wavelet Hash:193d391d3d393919
Color Hash:#3a7848

Other Hashes

Crop Resistant:3131b3b3b3b1b1b1

Scan History

Scan history not available

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