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Security Scan Report: frizchanada-p2-lesson2-4c4muiv87y.edgeone.app

Submitted: Feb 20, 2026, 3:32:13 PMCompleted: Feb 20, 2026, 3:33:37 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is frizchanada-p2-lesson2-4c4muiv87y.edgeone.app and was registered NaN years ago.

Submitted URL: https://frizchanada-p2-lesson2-4c4muiv87y.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: 95%

0
Risk Score

No security concerns detected; site appears legitimate but currently unreachable.

Safety Factors
Established domain (>2 years)
No credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware detected
Page title does not impersonate a known brand
Domain age information unavailable

Details

Page Title

frizchanada-p2-lesson2-4c4muiv87y.edgeone.app

Scan Type

public

Language

🇺🇸

English

(62% confidence)

Category

cryptocurrency blockchain

(34%)

Domain Information

The domain 'frizchanada-p2-lesson2-4c4muiv87y.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'frizchanada-p2-lesson2-4c4muiv87y'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside three consonants. Tokenizing the label suggests 2 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://frizchanada-p2-lesson2-4c4muiv87y.edgeone.app/

Page Load Overview

0.89s
Total Load Time
6
HTTP Requests
3
Domains
119 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:62%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:62%
Script Type:Latin
HTML Lang Attribute:id
Text Length:302 chars
Detector Agreement:100%
Language mismatch: Declared as id but detected as en

Website Classification

Primary Category

cryptocurrency blockchain34% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
643.152.26.58Singapore
AS15169
61--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T160048E773296063986558498E05B830D9F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:1fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszk2bMy8OldO:ShoC9JSqzzbs6o3Sj3gcrsw2eA8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184616:EJHhBnUduEDISBglukwQTUICIIpgEIFBAI9ApgnFDA04ABUAgjTjCAHACQAdQzQkABBcEqwIhOEyQ03oGniBkJEkynQZIvyE

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:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:3f1f03070f0f0f0f
Color Hash:#8e87c5

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data