Security Scan Report: crowded-chocolate-jc4mql39ii-0vnkr66krs.edgeone.app

Submitted: Feb 20, 2026, 12:24:49 PMCompleted: Feb 20, 2026, 12:26:20 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is crowded-chocolate-jc4mql39ii-0vnkr66krs.edgeone.app and was registered NaN years ago.

Submitted URL: https://crowded-chocolate-jc4mql39ii-0vnkr66krs.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 malicious indicators; site appears legitimate.

Safety Factors
Well-established domain (>2 years)
No malicious Indicators of Compromise
No credential or payment forms
No JavaScript malware detected
No external domains or redirects
Domain age information unavailable

Details

Page Title

crowded-chocolate-jc4mql39ii-0vnkr66krs.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(67%)

Domain Information

Within the application-focused generic top-level domain (.app), 'crowded-chocolate-jc4mql39ii-0vnkr66krs.edgeone.app' is registered, featuring subdomain 'crowded-chocolate-jc4mql39ii-0vnkr66krs'. Count 7 characters in 'edgeone' with four vowels and 3 consonants. Word splitting yields 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://crowded-chocolate-jc4mql39ii-0vnkr66krs.edgeone.app/

Page Load Overview

8.10s
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:100%

Website Classification

Primary Category

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

All Detected Categories

technology software
67%
documentation technical
43%
adult content
34%

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

T1AF048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:cfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszU2bMy8Oldk:/hoC9JSqzzbs6o3Sj3gcrsw2eAi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184646:QERiIBkZSEAlBg9wAQAijRoAWBgAxRoUBoAGJhcRXDJokigFs0DEMaEYAUDQIDkqKBCQFQBRkAhAVEQSCJDAckx+qAIASxpc

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:ffcfc3c7ffffffff
Perceptual Hash:b333cccccc233333
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#c5b787

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data