Security Scan Report: general-silver-xo3vby9ref-dau9eurrj5.edgeone.app

Submitted: Feb 24, 2026, 3:35:52 AMCompleted: Feb 24, 2026, 3:37:18 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 4 HTTP transactions. The main domain is general-silver-xo3vby9ref-dau9eurrj5.edgeone.app and was registered NaN years ago.

Submitted URL: https://general-silver-xo3vby9ref-dau9eurrj5.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

Grok AutoTrade

Scan Type

public

Language

🇷🇺

Russian

(80% confidence)

Category

cryptocurrency blockchain

(44%)

Domain Information

The domain name 'general-silver-xo3vby9ref-dau9eurrj5.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'general-silver-xo3vby9ref-dau9eurrj5'. The core label 'edgeone' covers 7 characters holding four vowels versus three consonants. Word splitting yields two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://general-silver-xo3vby9ref-dau9eurrj5.edgeone.app/

Page Load Overview

0.94s
Total Load Time
4
HTTP Requests
2
Domains
6 KB
Total Size

Language Analysis

Primary Language

🇷🇺Russian
Code: ru
Confidence:80%
Script:Cyrillic
Direction:ltr

Detection Details

Language Code:ru
Detection Confidence:80%
Script Type:Cyrillic
HTML Lang Attribute:ru
Text Length:231 chars
Detector Agreement:50%

Website Classification

Primary Category

cryptocurrency blockchain44% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
44%
finance banking
35%
technology software
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58United States
2104.18.0.22United States
42--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ADF1D66E26D320512F67A0A657A76B4A3150D057990FDA9C3FEC63A4CFD27A0C4B278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:fdnYvflm4jtsnEQVpcmjOgC0G2TilFR18S1HdefyPNUti+gde97j:fdn42rcmeOwt1HiZgmX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7512:ZBcBJJwEAB1kLGAAS4kggwEXgYUiSekjAOACQIA63IAJIQAIABAQqwghAl2CIGoiBgcwiJSgUIwnQmAwiQA7yVvkALQEYQcD

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:1018181818180000
Perceptual Hash:dccc66992766cc8c
Difference Hash:34323230b2320000
Wavelet Hash:f8f8f8f8f8d8c080
Color Hash:#5391ac

Other Hashes

Crop Resistant:34323230b2320000

Scan History

Scan history not available

Unable to load historical scan data