Security Scan Report: mechanical-copper-r7n7gqoftz-ahb440bwep.edgeone.app

Submitted: Mar 12, 2026, 8:03:05 AMCompleted: Mar 12, 2026, 8:04:50 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is mechanical-copper-r7n7gqoftz-ahb440bwep.edgeone.app and was registered NaN years ago.

Submitted URL: https://mechanical-copper-r7n7gqoftz-ahb440bwep.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: 88%

2
Risk Score

Low risk; no malicious activity detected, but subdomain age is unknown.

Risk Factors
Subdomain on a free hosting platform with unknown creation date (potentially new)
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise matches
No JavaScript malware detected
No network IDS alerts
No redirects or cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(67%)

Domain Information

Domain 'mechanical-copper-r7n7gqoftz-ahb440bwep.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'mechanical-copper-r7n7gqoftz-ahb440bwep'. The core label 'edgeone' covers 7 characters with 4 vowels and three consonants. It segments into 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://mechanical-copper-r7n7gqoftz-ahb440bwep.edgeone.app/

Page Load Overview

8.17s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:849 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software67% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
67%
documentation technical
37%
adult content
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17D02B5CAEB9305C9A81BC4682FFF5324222DE057C449C95DB9AE1F548F4518875FA3B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBYh1RaXQl:KrzhNK/lMHmGgdkqvd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8681:JEUC1nDCJSMQNBU8gW2IhAIiSEeEDYQAOFkJCAAKiDKRRIEKhMR04xKAKYcCANaAgTmdVQUmaEDaBAhJgCMGCCoCOCbXAAEF

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:dcfcfcc0e0e0c0c0
Perceptual Hash:de9a9838686167c7
Difference Hash:3030600000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#40bf4a

Other Hashes

Crop Resistant:3030600000000000

Scan History

Scan history not available

Unable to load historical scan data