Security Scan Report: mild-aquamarine-wujbreip4g-hn5ivkxlgw.edgeone.app

Submitted: Mar 11, 2026, 11:05:51 PMCompleted: Mar 11, 2026, 11:07:16 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is mild-aquamarine-wujbreip4g-hn5ivkxlgw.edgeone.app and was registered NaN years ago.

Submitted URL: https://mild-aquamarine-wujbreip4g-hn5ivkxlgw.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: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Happy Birthday

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'mild-aquamarine-wujbreip4g-hn5ivkxlgw.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'mild-aquamarine-wujbreip4g-hn5ivkxlgw'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and three consonants. It segments into two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mild-aquamarine-wujbreip4g-hn5ivkxlgw.edgeone.app/

Page Load Overview

3.03s
Total Load Time
11
HTTP Requests
2
Domains
10.2 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:298 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6104.17.25.14United States
543.152.26.58Singapore
112--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E791DC70F4F5803B1942829076E33B2D2DE8A643DE5948B633FE058A9FCBE9D994F101

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TqzNgG0Ny0N80N7NCS8bLxO18pzBJedges+ee+eCbcjemjeD4eMs:TN6M183kdTs9e9Cp7PMs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4558:gqACIIEECEgETQwCAgEEAgAAEhAAgAgAAskCRIYBBWEEEBASAhBAACwkAETIAMCBBIIEASCHoAVBBABCCRCQCIA4BMQACEYA

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:feffe7c3c7e7ffff
Perceptual Hash:f755ddd574202382
Difference Hash:02104c8e0e4c1008
Wavelet Hash:fafce2c1c0e2e8e0
Color Hash:#79a1d2

Other Hashes

Crop Resistant:02104c8e0e4c1008

Scan History

Scan history not available

Unable to load historical scan data