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Security Scan Report: crowded-chocolate-jc4mql39ii-6fdhxx6cyd.edgeone.app

Submitted: Feb 19, 2026, 10:55:57 PMCompleted: Feb 19, 2026, 10:57:27 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-6fdhxx6cyd.edgeone.app and was registered NaN years ago.

Submitted URL: https://crowded-chocolate-jc4mql39ii-6fdhxx6cyd.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

Site appears legitimate with no security concerns.

Safety Factors
Established domain age (> 2 years)
No forms or sensitive data collection
No malicious Indicators of Compromise
Low ranking but no suspicious activity
Domain age information unavailable

Details

Page Title

crowded-chocolate-jc4mql39ii-6fdhxx6cyd.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(28%)

Domain Information

The domain name 'crowded-chocolate-jc4mql39ii-6fdhxx6cyd.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'crowded-chocolate-jc4mql39ii-6fdhxx6cyd'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus three consonants. Segmentation suggests 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://crowded-chocolate-jc4mql39ii-6fdhxx6cyd.edgeone.app/

Page Load Overview

3.22s
Total Load Time
3
HTTP Requests
2
Domains
15 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:183 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical28% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
AS139341ACE
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A9048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:1fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz02bMy8Oldq:ShoC9JSqzzbs6o3Sj3gcrsQ2eAw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184646:OHmTAMPoKgQEAT4IRIxjcA8CxwT6JqkhELLAgICsAIglhEIGAAgtA0kAhLiDagAoCtUEGIBBSXF0QgWAwVFKHAR8EAhJxjAe

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:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:3f1f03070f0f0f0f
Color Hash:#5354ac

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data