Security Scan Report: fx-trader-rijon-premium-hack-qbmbsgzvin.edgeone.app

Submitted: Feb 22, 2026, 2:14:08 PMCompleted: Feb 22, 2026, 2:15:32 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 fx-trader-rijon-premium-hack-qbmbsgzvin.edgeone.app and was registered NaN years ago.

Submitted URL: https://fx-trader-rijon-premium-hack-qbmbsgzvin.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 activity detected; the site appears benign.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
Hosted on a known developer platform without suspicious activity
Domain age information unavailable

Details

Page Title

fx-trader-rijon-premium-hack-qbmbsgzvin.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(28%)

Domain Information

The domain name 'fx-trader-rijon-premium-hack-qbmbsgzvin.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'fx-trader-rijon-premium-hack-qbmbsgzvin'. The second-level label 'edgeone' is 7 characters long with four vowels and three 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://fx-trader-rijon-premium-hack-qbmbsgzvin.edgeone.app/

Page Load Overview

1.84s
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
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C3048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:XfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszO2bMy8Oldy:ohoC9JSqzzbs6o3Sj3gcrsa2eAQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184646:cgssQ5iATKRhCEwQUAD2YAMohK/oViUoloIYkDhDcEwUMUIB4RiXAWEahACBwAlDEFUEEGLEAwSWUIQAAdwI0hTYaKBI7OEG

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:#40bf46

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data