Security Scan Report: rifat-vip-ai-hack-9mkpkigwjy.edgeone.app

Submitted: Apr 2, 2026, 1:34:18 PMCompleted: Apr 2, 2026, 1:35:38 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is rifat-vip-ai-hack-9mkpkigwjy.edgeone.app and was registered NaN years ago.

Submitted URL: https://rifat-vip-ai-hack-9mkpkigwjy.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: 70%

2
Risk Score

The site shows no concrete malicious signals; low risk but unknown subdomain age and low reputation suggest cautious use.

Risk Factors
Low Cisco Umbrella ranking (rank #455,732)
Unknown subdomain age on a hosting platform
Safety Factors
Absence of credential or payment forms
No IoC or malware detections
No IDS alerts indicating phishing or malware
Self‑branding only (no impersonation of a known brand)
JavaScript obfuscation score low (standard minification)
Domain age information unavailable

Details

Page Title

RIFAT-VIP-AI-Hack

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(94%)

Domain Information

The domain name 'rifat-vip-ai-hack-9mkpkigwjy.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'rifat-vip-ai-hack-9mkpkigwjy'. The core label 'edgeone' covers 7 characters holding 4 vowels versus 3 consonants. Breaking it apart gives two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rifat-vip-ai-hack-9mkpkigwjy.edgeone.app/

Page Load Overview

1.95s
Total Load Time
44
HTTP Requests
8
Domains
279 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:280 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network94% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
94%
technology software
71%
documentation technical
40%
gambling betting
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1643.152.26.58Singapore
14172.240.253.132Singapore
14104.21.83.197United States
AS13335Cloudflare, Inc.
443--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C652D76671B724328593E4B93BA3975D3531D003A642C6687EAC42D0CF8ECF685ABB4D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:EbQgejqhVq2dBjGnrNHfXAWUXmMhdhu5PwBR8NC9iVEJSza5O0u/0m0AdnbXVIU8:NfBmWMB1OJyjmpblIuoZgTdh8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14332:JKyxiCSI4kEWR6qCMAQjNiEmqgDAyUpFkAQiEJoUmBCZqamkRAAAxgiKFEBYcNIUpQKgEgACBowIQpdJCMWzJI5UgWEMckgC

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:1818181818181818
Perceptual Hash:dd55557620aaaaaa
Difference Hash:b0b2b3b2b2b2b2b2
Wavelet Hash:3c3c3c3c38383838
Color Hash:#6ce0bf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data