Security Scan Report: prickly-aquamarine-hoe2bnknop-vp9kolzmiv.edgeone.app

Submitted: Feb 21, 2026, 7:49:27 AMCompleted: Feb 21, 2026, 7:50:52 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is prickly-aquamarine-hoe2bnknop-vp9kolzmiv.edgeone.app and was registered NaN years ago.

Submitted URL: https://prickly-aquamarine-hoe2bnknop-vp9kolzmiv.edgeone.app/

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

prickly-aquamarine-hoe2bnknop-vp9kolzmiv.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(28%)

Domain Information

The domain 'prickly-aquamarine-hoe2bnknop-vp9kolzmiv.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'prickly-aquamarine-hoe2bnknop-vp9kolzmiv'. Count 7 characters in 'edgeone' containing 4 vowels alongside 3 consonants. Splitting it apart reveals 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://prickly-aquamarine-hoe2bnknop-vp9kolzmiv.edgeone.app/

Page Load Overview

2.03s
Total Load Time
3
HTTP Requests
2
Domains
15 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:183 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical28% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
28%

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

T133048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:VfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszo2bMy8OldO:yhoC9JSqzzbs6o3Sj3gcrsU2eA0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184651:CjlgICCVFAMFghVZBmQABiGIJCBAOQCQUAIEkjMVSZkAcLHgW0BFAETAjzcUSBy2ZhIugGgSFBVCyNRAKAAGCgQpuizIAABA

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:ffcfc3c7ffffffff
Perceptual Hash:b333cccccc233333
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#c5c587

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data