Security Scan Report: innocent-copper-dmvl3r83ol-tl8ff7zixp.edgeone.app

Submitted: Mar 29, 2026, 1:34:14 PMCompleted: Mar 29, 2026, 1:35:23 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 innocent-copper-dmvl3r83ol-tl8ff7zixp.edgeone.app and was registered NaN years ago.

Submitted URL: https://innocent-copper-dmvl3r83ol-tl8ff7zixp.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: 78%

3
Risk Score

No malicious activity detected; site appears benign but is a newly created subdomain on a free hosting platform.

Risk Factors
New subdomain on free hosting platform (edgeone.app)
Low Cisco Umbrella ranking (455,732)
Domain age unknown for the subdomain
Safety Factors
No credential or payment forms present
No malicious JavaScript detected
No cross‑origin credential exfiltration observed
HTTPS connection used
Zero redirects
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(74% confidence)

Category

social media network

(85%)

Domain Information

The domain name 'innocent-copper-dmvl3r83ol-tl8ff7zixp.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'innocent-copper-dmvl3r83ol-tl8ff7zixp'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and three consonants. Splitting it apart reveals two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://innocent-copper-dmvl3r83ol-tl8ff7zixp.edgeone.app/

Page Load Overview

0.36s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:74%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:74%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:71 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

social media network85% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network
85%
news media journalism
50%
healthcare medical
33%
documentation technical
29%
cryptocurrency blockchain
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14712E8CAEBE706C8681BC4682FFF5725222DE053D449C95DB9AE0F648F0518875FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBOhRh1RaXQl:KrzhNK/lMHmGgdkqxHd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9602:cA0C1vAELQMUNR0UCVWghIAiCQCMH8QAMFAJURgCiDARAIEMgMQ0wyCAjYcCAMagwXiddQAuyOBaBAjBCUIGCCoSOD6mQEkD

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:dcfcfcf0e0e0c0c0
Perceptual Hash:de9a982c6c65c3c3
Difference Hash:3030700000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#3a784a

Other Hashes

Crop Resistant:3030700000000000

Scan History

Scan history not available

Unable to load historical scan data