Security Scan Report: refactx-j1lklu64k7.edgeone.app

Submitted: Dec 18, 2025, 7:43:34 AMCompleted: Dec 18, 2025, 7:50:30 AMpubliccompleted
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Summary

This website contacted 2 IPs in 0 countries across 1 domain to perform 3 HTTP transactions. The main domain is refactx-j1lklu64k7.edgeone.app and was registered NaN years ago.

Submitted URL: https://refactx-j1lklu64k7.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

主页 | RefactX Project

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(75%)

Domain Information

The domain name 'refactx-j1lklu64k7.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'refactx-j1lklu64k7'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside three consonants. Splitting it apart reveals two 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://refactx-j1lklu64k7.edgeone.app/

Page Load Overview

30.21s
Total Load Time
3
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:786 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software75% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
75%
documentation technical
49%
adult content
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58UnknownUnknown
143.152.186.21UnknownUnknown
32--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BFC3A1204311216519978784A6F8BF5AD2FFCA9DCF630ED6B3BCC28127E5C1C9E926D1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ytUdObYYld5xlURHtQ/zB/Vv5NKGqKrqfdSdSdSdSdSdSdAdSdSdSdSdSdSdAdS9:0vvKGtaec/A/LyA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:123169:IGAgBYhxBRg5rsSIkiQFAPBAyIQSVAAEQw6wgSBRMCwUNoAjQQfkgAAQpTcKGAYaEleFEQCCkADAwAcQ5QowUmiJEMVASgCA

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data