Security Scan Report: editorbyrizproject-7v844wczwo.edgeone.app

Submitted: Mar 12, 2026, 5:33:12 AMCompleted: Mar 12, 2026, 5:34:47 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is editorbyrizproject-7v844wczwo.edgeone.app and was registered NaN years ago.

Submitted URL: https://editorbyrizproject-7v844wczwo.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

Low risk site with no malicious indicators; safe to browse.

Safety Factors
Hosted on a known developer hosting platform (edgeone.app)
No credential or payment collection mechanisms
No malicious JavaScript patterns detected
No network IDS alerts
No brand impersonation or trademark usage
Domain age information unavailable

Details

Page Title

BYRIZPROJECT · Sticker & Photo Editor

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(75%)

Domain Information

Within the application-focused generic top-level domain (.app), 'editorbyrizproject-7v844wczwo.edgeone.app' is registered; it also runs on subdomain 'editorbyrizproject-7v844wczwo'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus 3 consonants. Breaking it apart gives 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://editorbyrizproject-7v844wczwo.edgeone.app/

Page Load Overview

8.18s
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:819 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software75% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
75%
documentation technical
53%
adult content
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1104.17.25.14Singapore
043.152.26.58Singapore
12--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T120C2B46BB5F314B25533A0E93BBB834537669003A40ADA883F9C97845F87F5588B378D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:ZHi1mrTGNi3bsxzkjFON4mI+3C15FUT2/g2:ZHPrTXsF3D2o2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:27582:wAE8CAAGdQJoISQCDeI0gwFKqClAyAZASJECuhcCQQFQggwDqJhCSACjYQKAGYwitDMYA4hCLYJBchAAFSoAwMIMBE7kYwaD

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:c377757377350701
Perceptual Hash:aac4397af93949b0
Difference Hash:2bc5c5c5c5e52db5
Wavelet Hash:c375717777310701
Color Hash:#bf6840

Other Hashes

Crop Resistant:2bc5c5c5c5e52db5

Scan History

Scan history not available

Unable to load historical scan data