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Security Scan Report: convincing-aqua-r5nbyeupyu-fjok2xiyo1.edgeone.app

Submitted: Feb 22, 2026, 6:59:33 PMCompleted: Feb 22, 2026, 7:00:43 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 convincing-aqua-r5nbyeupyu-fjok2xiyo1.edgeone.app and was registered NaN years ago.

Submitted URL: https://convincing-aqua-r5nbyeupyu-fjok2xiyo1.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: 85%

2
Risk Score

No malicious activity detected; the page is unreachable but poses no security risk.

Safety Factors
Hosted on a known platform (edgeone.app) with no suspicious activity
Absence of credential or payment collection forms
No malicious Indicators of Compromise or network alerts
Domain age information unavailable

Details

Page Title

convincing-aqua-r5nbyeupyu-fjok2xiyo1.edgeone.app

Scan Type

public

Language

🇺🇸

English

(73% confidence)

Category

documentation technical

(36%)

Domain Information

Within the application-focused generic top-level domain (.app), 'convincing-aqua-r5nbyeupyu-fjok2xiyo1.edgeone.app' is registered with subdomain 'convincing-aqua-r5nbyeupyu-fjok2xiyo1'. The core label 'edgeone' covers 7 characters split between four vowels and 3 consonants. It segments into 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://convincing-aqua-r5nbyeupyu-fjok2xiyo1.edgeone.app/

Page Load Overview

0.80s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:73%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:73%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:53 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical36% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
36%
news media journalism
29%

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

T145048E77329A063986558498F05B43099F21B143F506C8BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:cfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszg2bMy8OldM:/hoC9JSqzzbs6o3Sj3gcrss2eAi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184636:cbzVhVINALj4gk9cDGICoQBAigiIoC4BM1oAAQLKCR0RCBgFRyAJAhxPBBcCJIGAAGkE8kMQIKNpKwalGBBQ8gaPKBHABEoQ

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:f0d0c0c4f0f0f0f0
Color Hash:#87bdc5

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data