Security Scan Report: melodic-copper-eofk7jkfso-vf594jiddv.edgeone.app

Submitted: Mar 15, 2026, 9:57:51 PMCompleted: Mar 15, 2026, 9:59:18 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 3 domains to perform 4 HTTP transactions. The main domain is melodic-copper-eofk7jkfso-vf594jiddv.edgeone.app and was registered NaN years ago.

Submitted URL: https://melodic-copper-eofk7jkfso-vf594jiddv.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: 92%

1
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
Absence of credential or payment collection forms
Standard minified JavaScript without malicious behavior
Hosted on a known free hosting platform (edgeone.app) with no threats
Content appears to be an informational article about Sierra Madre
Domain age information unavailable

Details

Page Title

Sci-Tech: The Sierra Madre — Cyrus Raven Merida

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(69%)

Domain Information

Domain 'melodic-copper-eofk7jkfso-vf594jiddv.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'melodic-copper-eofk7jkfso-vf594jiddv'. The second-level label 'edgeone' is 7 characters long split between four vowels and three consonants. Breaking it apart gives 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://melodic-copper-eofk7jkfso-vf594jiddv.edgeone.app/

Page Load Overview

0.74s
Total Load Time
4
HTTP Requests
3
Domains
200 KB
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:6,527 chars
Detector Agreement:75%

Website Classification

Primary Category

social media network69% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
69%
documentation technical
63%
forum community discussion
51%
adult content
44%
entertainment media
33%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
2142.251.127.119Singapore
42--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A6A2E65BBB9715635993C1B83BE207993364C11B8681CD693FDE92088F85278CDB3BC9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:sILrF3HENBDmwkQMaP9McMQslHJTOUplN:9HF3QRFbzVzBwTOUpj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21384:oALCohhCQxVKIAEKgIiQMWAAj4BjhgADFDIZTHpLsEB5BSdQpAARIexRAEZim3BIwEAERJgICUAFAgVZlCYqtEECBgGQoQOF

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:1818191919191919
Perceptual Hash:88dc733399993333
Difference Hash:333131b3b3313131
Wavelet Hash:3939393939393939
Color Hash:#e06cb9

Scan History

Scan history not available

Unable to load historical scan data