Security Scan Report: controlled-moccasin-gvjwbqxvti-tql29du7nk.edgeone.app

Submitted: Apr 5, 2026, 1:13:58 AMCompleted: Apr 5, 2026, 1:15:06 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 controlled-moccasin-gvjwbqxvti-tql29du7nk.edgeone.app and was registered NaN years ago.

Submitted URL: https://controlled-moccasin-gvjwbqxvti-tql29du7nk.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; the site appears legitimate.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Low JavaScript obfuscation (standard minification)
Hosted on edgeone.app but no suspicious activity observed
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇳🇱

Dutch

(36% confidence)

Category

documentation technical

(90%)

Domain Information

Domain 'controlled-moccasin-gvjwbqxvti-tql29du7nk.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'controlled-moccasin-gvjwbqxvti-tql29du7nk'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus 3 consonants. Word splitting yields 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://controlled-moccasin-gvjwbqxvti-tql29du7nk.edgeone.app/

Page Load Overview

0.38s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇳🇱Dutch
Code: nl
Confidence:36%
Script:Latin
Direction:ltr

Detection Details

Language Code:nl
Detection Confidence:36%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:291 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as nl

Website Classification

Primary Category

documentation technical90% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
90%
technology software
62%
cryptocurrency blockchain
50%
healthcare medical
48%
news media journalism
46%

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

T196C24681DFF42FDCA01F8544AB6D7B3E6A25A003E44C469C75AE0EB09F89985F4BB174

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KrzhNK/lMHmGgdkqffDvDXDRDDDvD9DbDfDfDnDLDfDHDkcDdDBD9D7DTD7CqVd:shNIMi+8D7FnDBPTjr/TLjhFxvHnCqVd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:26515:UB3gmDAmDVzqEKSGTEyIBAkAacksDAUBMhgEEQJK4DYApIG8JcBWS1FYTZIK5kCAg0sOXIgg0KB6QCHhTAo48CJAHTWYERwS

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:9c1c3c3c3c3c3c3c
Perceptual Hash:de7538383028e3e7
Difference Hash:3030707070707071
Wavelet Hash:9c3c3c3c3c3c3c3c
Color Hash:#3a6f78

Other Hashes

Crop Resistant:3030707070707071

Scan History

Scan history not available

Unable to load historical scan data