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Security Scan Report: gothic-emerald-mlm0ghztxi-t8cs5sq3eb.edgeone.app

Submitted: Apr 3, 2026, 7:03:01 AMCompleted: Apr 3, 2026, 7:04:09 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 gothic-emerald-mlm0ghztxi-t8cs5sq3eb.edgeone.app and was registered NaN years ago.

Submitted URL: https://gothic-emerald-mlm0ghztxi-t8cs5sq3eb.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: 82%

2
Risk Score

Site shows no malicious activity but is a brand‑new subdomain on a free hosting platform; treat as low risk.

Risk Factors
New subdomain on a hosting platform with unknown creation date
Safety Factors
HTTPS connection
No credential or payment fields
No JavaScript malware patterns 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

🇫🇷

French

(50% confidence)

Category

documentation technical

(81%)

Domain Information

You're looking at domain 'gothic-emerald-mlm0ghztxi-t8cs5sq3eb.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'gothic-emerald-mlm0ghztxi-t8cs5sq3eb'. Count 7 characters in 'edgeone' split between four vowels and three consonants. Tokenizing the label suggests two 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://gothic-emerald-mlm0ghztxi-t8cs5sq3eb.edgeone.app/

Page Load Overview

1.41s
Total Load Time
2
HTTP Requests
1
Domains
4 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:866 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

documentation technical81% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
81%
cryptocurrency blockchain
57%
technology software
54%
news media journalism
42%
healthcare medical
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AA232041AFE46FDC745F85459B6D7B3B2A256043B58C418CB1AE0DB0AF88C46E4FB076

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:shNIMi+1oU4MgUQ4MQEwMUQMgkYYUwMOwAEQMIEIMgcoEo8QGd:wNIq1oU4MgUQ4MQEwMUQMgkYYUwMOwAA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:45620:UDEUWqQwCZFEXoWSDLgoAAMgwgCJIhFhMEKMAQMriCUSgRE+UAQDYCAlVbRCZNAEhXiSQi4iBKVwqCxoYQIiraYKJRkQVUwH

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:9c1c3c1c1c1c1c3c
Perceptual Hash:da75743828a8c3e7
Difference Hash:3030303171703170
Wavelet Hash:dcfc3c3c3c1c1c1c
Color Hash:#86592d

Other Hashes

Crop Resistant:3030303171703170

Scan History

Scan history not available

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