Security Scan Report: capable-blush-9rhhr0pk8q-fngzycepn3.edgeone.app

Submitted: Feb 22, 2026, 5:09:21 AMCompleted: Feb 22, 2026, 5:10:47 AMpubliccompleted
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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 capable-blush-9rhhr0pk8q-fngzycepn3.edgeone.app and was registered NaN years ago.

Submitted URL: https://capable-blush-9rhhr0pk8q-fngzycepn3.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: 92%

2
Risk Score

No malicious activity detected; site appears benign.

Safety Factors
Standard hosting platform (edgeone.app)
No external links or cross‑origin requests handling credentials
No form fields that collect sensitive data
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

capable-blush-9rhhr0pk8q-fngzycepn3.edgeone.app

Scan Type

public

Language

🇺🇸

English

(43% confidence)

Category

documentation technical

(84%)

Domain Information

Within the application-focused generic top-level domain (.app), 'capable-blush-9rhhr0pk8q-fngzycepn3.edgeone.app' is registered, featuring subdomain 'capable-blush-9rhhr0pk8q-fngzycepn3'. The second-level label 'edgeone' is 7 characters long with 4 vowels and 3 consonants. Breaking it apart gives 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://capable-blush-9rhhr0pk8q-fngzycepn3.edgeone.app/

Page Load Overview

0.39s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:43%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:43%
Script Type:Latin
HTML Lang Attribute:ru
Text Length:223 chars
Detector Agreement:50%
Language mismatch: Declared as ru but detected as en

Website Classification

Primary Category

documentation technical84% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
84%
technology software
70%
healthcare medical
58%
government public service
43%
news media journalism
29%

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

T154048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:mfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz42bMy8OldU:lhoC9JSqzzbs6o3Sj3gcrs02eAq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184626:koofDQSAKm+COgGCADGlEeQgewKKpU15jwCMAxMI4DQY8ABICYACCwUYCAMkBDFxIQFhNO4aIAQFP5YMUFT2AHUiBABgSyPK

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:ffdfc3c700000000
Color Hash:#e0c96c

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data