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

Moderate Risk

Confidence: 70%

4
Risk Score

Suspicious credential‑collection page on a newly created subdomain; avoid entering personal data.

Risk Factors
New subdomain on a free hosting platform (edgeone.app) – moderate suspicion
Page solicits phone number and password without legitimate context
Low Cisco Umbrella ranking (455,732) for a domain claiming a service
Safety Factors
No malicious Indicators of Compromise matches
No JavaScript malware YARA patterns detected
No credential exfiltration observed in network analysis
No forms detected by static analysis
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