Security Scan Report: 10x-vip-hack99-1f7gjoodmk.edgeone.app

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Submitted: May 9, 2026, 3:39:27 AMCompleted: May 9, 2026, 3:40:41 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 4 HTTP transactions. The main domain is 10x-vip-hack99-1f7gjoodmk.edgeone.app and was registered NaN years ago.

Submitted URL: https://10x-vip-hack99-1f7gjoodmk.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: 60%

2
Risk Score

Low risk site with unknown subdomain age and low ranking; no malicious activity detected.

Risk Factors
Unknown subdomain age
Low domain ranking
Placeholder password text without a form
Safety Factors
No forms or payment fields present
No malicious IoC matches
No JavaScript malware detections
No network IDS alerts
Domain age information unavailable

Details

Page Title

πŸ‘‘ πŸ­πŸ¬π—«-π—©π—œπ—£ π—›π—”π—–π—ž πŸ‘‘

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(50% confidence)

Category

social media network

(97%)

Domain Information

The domain name '10x-vip-hack99-1f7gjoodmk.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain '10x-vip-hack99-1f7gjoodmk'. The core label 'edgeone' covers 7 characters holding 4 vowels versus three consonants. Tokenizing the label suggests 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://10x-vip-hack99-1f7gjoodmk.edgeone.app/

Page Load Overview

1.20s
Total Load Time
4
HTTP Requests
2
Domains
472 KB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:bn
Text Length:181 chars
Detector Agreement:100%
Language mismatch: Declared as bn but detected as en

Website Classification

Primary Category

social media network97% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
97%
phishing scam
83%
healthcare medical
75%
gambling betting
69%
technology software
65%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
246.105.222.162Lille, Hauts-de-France, France
AS16276OVH SAS
243.152.26.58Singapore
42--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T124028431655334637A97E0BA3FA29B5E3314E103D9068E783E5E0151CF89F9559A638C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Py6qMo0/PoXytCyJhjlx2iFiKKox53Dn9C:aF0PAiFijoTD9C

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8254:oDYiJQAYFggBjFAIAkIiDEAglASHVAbzACiUEAkGhYZIBl5pwBECCCBbi5CUSyhQ2QkDIQYAYEFuwEoAMDxQIAilAIyCbBgI

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:0000181818180000
Perceptual Hash:9966669933669999
Difference Hash:0028303032b20010
Wavelet Hash:00183c3c3c3c1800
Color Hash:#bfbd40

Other Hashes

Crop Resistant:0028303032b20010

Scan History

Scan history not available

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