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Security Scan Report: expected-copper-y4n1pbjhmr-fx2nrhw2na.edgeone.app

Submitted: Mar 2, 2026, 10:47:17 PMCompleted: Mar 2, 2026, 10:48:43 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 6 HTTP transactions. The main domain is expected-copper-y4n1pbjhmr-fx2nrhw2na.edgeone.app and was registered NaN years ago.

Submitted URL: https://expected-copper-y4n1pbjhmr-fx2nrhw2na.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%

4
Risk Score

Site shows moderate suspicion due to unknown subdomain age and low ranking, but no malicious activity detected.

Risk Factors
Subdomain on free hosting platform with unknown age
Low Cisco Umbrella ranking indicating low reputation
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise detected
No JavaScript malware patterns
No network IDS alerts
Domain age information unavailable

Details

Page Title

HTML Runner

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(36%)

Domain Information

The domain name 'expected-copper-y4n1pbjhmr-fx2nrhw2na.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'expected-copper-y4n1pbjhmr-fx2nrhw2na'. The core label 'edgeone' covers 7 characters with 4 vowels and 3 consonants. Tokenizing the label suggests 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://expected-copper-y4n1pbjhmr-fx2nrhw2na.edgeone.app/

Page Load Overview

0.95s
Total Load Time
6
HTTP Requests
3
Domains
105 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:154 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical36% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
36%
technology software
35%
news media journalism
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.217.16.163United States
AS15169
2216.58.206.42United States
AS139341
243.152.26.58Singapore
AS139341ACE
63--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11E22D879F26320B17833A6AA37DBA7493275A207D407CE543DE861648FC13E494A358C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:MnICrxU63eJg4Jgcyx9krQNCZmpSb5x+WE2FciVCZwE7uyoTsC3TfKIab:uI2OJBQIhYDi9nu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10703:Ay10CQgYSCQEEKBgQJZSLb+OAhKEGBqCjOfZAFkgzCspBCQwQSssCAQCQLADRhBQct3loBpImEZK6BgQYBANCCMASIgshEh+

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:010f0f0f0f0f0f0f
Perceptual Hash:bb6e4a4e64686aa6
Difference Hash:1b1f1f1e1c5bdf1b
Wavelet Hash:0f0f0f0f0f0f0f0f
Color Hash:#6d931f

Other Hashes

Crop Resistant:1b1f1f1e1c5bdf1b

Scan History

Scan history not available

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