Security Scan Report: involved-copper-c1mykyetss-us8715u8uo.edgeone.app

Submitted: Jan 10, 2026, 6:20:29 PMCompleted: Jan 10, 2026, 6:21:49 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 involved-copper-c1mykyetss-us8715u8uo.edgeone.app and was registered NaN years ago.

Submitted URL: https://involved-copper-c1mykyetss-us8715u8uo.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

Legitimate site with no apparent security concerns.

Safety Factors
Well‑established domain age
Absence of credential or payment collection forms
No malicious Indicators of Compromise
No redirects or URL manipulation
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

social media network

(40%)

Domain Information

Domain 'involved-copper-c1mykyetss-us8715u8uo.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'involved-copper-c1mykyetss-us8715u8uo'. Count 7 characters in 'edgeone' with 4 vowels and 3 consonants. Tokenizing the label suggests two 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://involved-copper-c1mykyetss-us8715u8uo.edgeone.app/

Page Load Overview

8.88s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:82 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

social media network40% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
40%
documentation technical
36%
education learning
25%

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

T13F12C6C9EBE706C8681BC4682FFF5725222DE067D848C95CB99E0F648F0518475FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBHhsh1RaXQl:KrzhNK/lMHmGgdkq0qd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9642:IBUm1nQSJTcQPRUWA0WBhKCiDQCEDQQBMFAJIABKyDEQQIEIIMQ0wwCKCY8CAPaAgzicVSQmTER6DIjLIEIuKCoKPC6GAAlB

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:da9a986c6c61d3c3
Difference Hash:3030700000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#e0736c

Other Hashes

Crop Resistant:3030700000000000

Scan History

Scan history not available

Unable to load historical scan data