Security Scan Report: rifat-vipfx07-a077qofxtv.edgeone.app

Submitted: Apr 4, 2026, 8:57:55 PMCompleted: Apr 4, 2026, 8:59:24 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is rifat-vipfx07-a077qofxtv.edgeone.app and was registered NaN years ago.

Submitted URL: https://rifat-vipfx07-a077qofxtv.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: 78%

4
Risk Score

Suspicious hacking‑service page on a new subdomain; avoid interaction.

Risk Factors
New subdomain on a free hosting platform with unknown age
Low domain ranking in Cisco Umbrella
Suspicious content promoting hacking services
Safety Factors
No password or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware patterns identified
No credential exfiltration observed
Domain age information unavailable

Details

Page Title

RIFAT VIP HACK✘™

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

gambling betting

(77%)

Domain Information

The domain name 'rifat-vipfx07-a077qofxtv.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'rifat-vipfx07-a077qofxtv'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus 3 consonants. Segmentation 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://rifat-vipfx07-a077qofxtv.edgeone.app/

Page Load Overview

6.96s
Total Load Time
2
HTTP Requests
1
Domains
34 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:127 chars
Detector Agreement:100%

Website Classification

Primary Category

gambling betting77% confidence
Type: static
Method: ml+structural

All Detected Categories

gambling betting
77%
healthcare medical
74%
phishing scam
59%
cryptocurrency blockchain
48%
government public service
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T147D1932175A70001B112D9B03FB35B5A2311E503E64BCD3D3BE89294CF8A5E9DAE3B9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Nz4m8Iw+6uRNW5VfOFvK0FWA5NM5aBNqpfrZeJIY9SPpq67Vs1iCY3:Nz/8I6y8OFVFWAvMXckAY3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6235:KIGgkQBCDBEAJAIB5EKTwEihFCWwGQIMJAADYCAQgAUQABGqAlBSQDAEAlAkABEABLIgwCBEAUECCCFBhAggAAAFAEyNYoGZ

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:ffffffe7e7ffffff
Perceptual Hash:e633998c663399cc
Difference Hash:0008304d4d300800
Wavelet Hash:3c3c3c24c4dcc0c0
Color Hash:#25931f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data