Security Scan Report: vertical-amber-rpmzwaaten-y0ckcw16f9.edgeone.app

Submitted: Mar 11, 2026, 3:03:54 AMCompleted: Mar 11, 2026, 3:05:29 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is vertical-amber-rpmzwaaten-y0ckcw16f9.edgeone.app and was registered NaN years ago.

Submitted URL: https://vertical-amber-rpmzwaaten-y0ckcw16f9.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: 93%

0
Risk Score

No malicious activity detected; the site appears to be a simple greeting page.

Safety Factors
Hosted on a reputable platform (edgeone.app)
No credential or payment collection mechanisms
No known malicious Indicators of Compromise
No JavaScript malware or suspicious network activity
No redirects or external domains
Domain age information unavailable

Details

Page Title

Happy Birthday Ema

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(73%)

Domain Information

Domain 'vertical-amber-rpmzwaaten-y0ckcw16f9.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'vertical-amber-rpmzwaaten-y0ckcw16f9'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside three consonants. Splitting it apart reveals two 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://vertical-amber-rpmzwaaten-y0ckcw16f9.edgeone.app/

Page Load Overview

8.17s
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:840 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software73% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
73%
documentation technical
44%
adult content
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F94144E70506341BF26BE3716C61C6DA2CA8D90AE2671D4C61EE229CC3C5CC16D77768

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TIQb32fPDepXUNdHbYse9YR/xd/kb1w/KT98:TAfPypyS2Jc+iTC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2291:AAAIBCBAAAYAESQABBAQAAIBCQAAAAAEAAgAAAAAAAACAQAAAAARICAACAoIBIwQRgAAAQAIBABAEAhAAAAMAAJAAAgiAAAE

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:01031b1b1f1f0f1f
Perceptual Hash:884c7376cc1dcd27
Difference Hash:ffeff3b3b3f3ffff
Wavelet Hash:01031b1f1f1f1f1f
Color Hash:#c16ce0

Other Hashes

Crop Resistant:ffeff3b3b3f3ffff

Scan History

Scan history not available

Unable to load historical scan data