Security Scan Report: horizontal-plum-9jnwvt6shv-cpul76tx2v.edgeone.app

Submitted: Feb 26, 2026, 6:44:55 AMCompleted: Feb 26, 2026, 6:46:14 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is horizontal-plum-9jnwvt6shv-cpul76tx2v.edgeone.app and was registered NaN years ago.

Submitted URL: https://horizontal-plum-9jnwvt6shv-cpul76tx2v.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

No malicious activity detected; the site appears to be a harmless personal birthday greeting page.

Safety Factors
No credential or payment collection fields
No malicious Indicators of Compromise
Low JavaScript obfuscation, no malware signatures
Content appears to be a personal greeting
Domain age information unavailable

Details

Page Title

For Fathima Nagiha πŸ’–

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

healthcare medical

(63%)

Domain Information

Within the application-focused generic top-level domain (.app), 'horizontal-plum-9jnwvt6shv-cpul76tx2v.edgeone.app' is registered, featuring subdomain 'horizontal-plum-9jnwvt6shv-cpul76tx2v'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and 3 consonants. Tokenizing the label suggests two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://horizontal-plum-9jnwvt6shv-cpul76tx2v.edgeone.app/

Page Load Overview

0.64s
Total Load Time
3
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
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:217 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical63% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
63%
adult content
52%
government public service
47%
education learning
44%
news media journalism
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CD514666DA43191A027F0163952606486CF0468BEE9F686837FD3347AFC3C595703BB9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TMOjCt8b6iQtz9nEmIRDQM/czz0oL/r64ow:TfjCt8uiQtz9nUt1sTh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2521:AgAABFABAAAAAAAMwBAAAAQAABAIBBAKCQIiAAISAAAGEABAAIABQAAIAAAAQAAAQQASgAAAAAQAAAigAgAQAIBAUIQgAAAA

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:03031f1f1f1f071f
Perceptual Hash:88593366db5dcc32
Difference Hash:fffff3b3abf3cfff
Wavelet Hash:03031f1f1f1f071f
Color Hash:#9953ac

Other Hashes

Crop Resistant:fffff3b3abf3cfff

Scan History

Scan history not available

Unable to load historical scan data