Security Scan Report: happy-copper-cbbvvgielg-7fteca1bwq.edgeone.app

Submitted: Jan 17, 2026, 11:53:48 PMCompleted: Jan 17, 2026, 11:54:55 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is happy-copper-cbbvvgielg-7fteca1bwq.edgeone.app and was registered NaN years ago.

Submitted URL: https://happy-copper-cbbvvgielg-7fteca1bwq.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.

Safety Factors
Well‑established domain (>2 years)
No forms collecting sensitive data
No malicious Indicators of Compromise
Content appears to be a simple file collection page
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(73% confidence)

Category

documentation technical

(83%)

Domain Information

Within the application-focused generic top-level domain (.app), 'happy-copper-cbbvvgielg-7fteca1bwq.edgeone.app' is registered, featuring subdomain 'happy-copper-cbbvvgielg-7fteca1bwq'. Count 7 characters in 'edgeone' holding four vowels versus three consonants. Word splitting yields two 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://happy-copper-cbbvvgielg-7fteca1bwq.edgeone.app/

Page Load Overview

0.37s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:73%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:73%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:116 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical83% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
83%
technology software
68%
government public service
43%
news media journalism
35%
adult content
30%

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

T1FB6295C5EFE61ACCA41BC4685FBE673A2729A003E84DC54CB59E0F749F44584B4BB1B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBViRh+h5h/hDhthrh3h1RaXQl:KrzhNK/lMHmGgdkqMU4H9BH9Bd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14856:IQbCEXBABUeQNBSkMQWAwAkGIhQkiQQhc5gNkE5riGwQgMk8CMY2gwAQTQVAJMbECWiV1SQmyEhcBAtALAqOoCsAOCcCIIET

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:dcfcbcbc3c3c0000
Perceptual Hash:da98699a7861c765
Difference Hash:3030707070600000
Wavelet Hash:dcfcfcfcbc3c0000
Color Hash:#53aca8

Other Hashes

Crop Resistant:3030707070600000

Scan History

Scan history not available

Unable to load historical scan data