Security Scan Report: biological-copper-bzeboynnnh-kv02kxlgxf.edgeone.app

Submitted: Mar 2, 2026, 3:44:40 AMCompleted: Mar 2, 2026, 3:46:17 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is biological-copper-bzeboynnnh-kv02kxlgxf.edgeone.app and was registered NaN years ago.

Submitted URL: https://biological-copper-bzeboynnnh-kv02kxlgxf.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: 92%

2
Risk Score

No malicious activity detected; low risk site hosting audio content.

Safety Factors
No credential or payment collection fields
No malicious Indicators of Compromise
No JavaScript malware or suspicious network activity
Content appears to be a simple audio/video page ("Leak MM")
Domain age information unavailable

Details

Page Title

Leak MM

Scan Type

public

Language

🇺🇸

English

(62% confidence)

Category

news media journalism

(40%)

Domain Information

Domain 'biological-copper-bzeboynnnh-kv02kxlgxf.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'biological-copper-bzeboynnnh-kv02kxlgxf'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. Word splitting yields 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://biological-copper-bzeboynnnh-kv02kxlgxf.edgeone.app/

Page Load Overview

0.55s
Total Load Time
3
HTTP Requests
1
Domains
2.6 MB
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
Text Length:112 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism40% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
40%
government public service
36%
adult content
35%
documentation technical
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10021445DA4F77021040721563443A6CFBC98D2F26448CB44E43B9BE21AEA65D849BAA4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:ha6AD2fcCddddddddddddddddddddddddddddddddddddddddddddddddddddddD:+2cCdddddddddddddddddddddddddddV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1133:gEAAAAAAAAAAAAQCAAAAAAAgABAAAAEAAAAAAAAAgAAAAAAAAAAAAAAAARAAwgAAABAIBQAAAAABAAAAAAAAAAAIAAAAIAAA

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:e787e7ffffffffff
Perceptual Hash:b63632c3c9c9c9c9
Difference Hash:0c2c0c0000000000
Wavelet Hash:6787e7ff00000000
Color Hash:#d2a079

Other Hashes

Crop Resistant:0c2c0c0000000000

Scan History

Scan history not available

Unable to load historical scan data