Security Scan Report: bottom-scarlet-eqnexn9alv-9olovwapaf.edgeone.app

Submitted: Mar 1, 2026, 11:50:15 PMCompleted: Mar 1, 2026, 11:51:42 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is bottom-scarlet-eqnexn9alv-9olovwapaf.edgeone.app and was registered NaN years ago.

Submitted URL: https://bottom-scarlet-eqnexn9alv-9olovwapaf.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Page mimics Canva on a new edgeone.app subdomain; moderate risk – avoid providing credentials or payments.

Risk Factors
Brand impersonation on a newly created subdomain
Low domain reputation (Cisco Umbrella rank > 100k)
Use of a free hosting platform for brand‑mimicking content
Safety Factors
No password or payment forms present
No malicious Indicators of Compromise matches
No JavaScript malware patterns detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

ONMARK — Canva Pro for $10

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(51%)

Domain Information

Domain 'bottom-scarlet-eqnexn9alv-9olovwapaf.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'bottom-scarlet-eqnexn9alv-9olovwapaf'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus 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://bottom-scarlet-eqnexn9alv-9olovwapaf.edgeone.app/

Page Load Overview

1.18s
Total Load Time
10
HTTP Requests
3
Domains
236 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:4,917 chars
Detector Agreement:67%

Website Classification

Primary Category

social media network51% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
51%
technology software
46%
adult content
27%
cryptocurrency blockchain
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.152.26.58Singapore
3142.250.201.74United States
3172.217.168.67United StatesUnknown
103--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T170F2A725B5A220767413A4E17BE7571F73B4E503C80B8A2437ED16988FCAEE4DD53A8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:JXDzT871Lh7/aFqx3nQJHzKFc5hsP1pjh:laNV/aFqx3nQJHzKFczsP1hh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36973:AIQxLRwDIQIBOSNKZgVeC6JUwqzAB4AmBiBKhoIjDgAENueMIQyACIrRCRiAYdYcBUBEASKAsABcV0g4BUOEIHLCEMwqnBJE

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:0119191919190101
Perceptual Hash:88dd3326f98d8c33
Difference Hash:33b1313331354101
Wavelet Hash:9b393999bd193d01
Color Hash:#87c5c5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data