Security Scan Report: rafsan-vip-hack-iptnzerq3t.edgeone.app

Submitted: Mar 8, 2026, 6:28:34 AMCompleted: Mar 8, 2026, 6:30:10 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is rafsan-vip-hack-iptnzerq3t.edgeone.app and was registered NaN years ago.

Submitted URL: https://rafsan-vip-hack-iptnzerq3t.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 newly‑created subdomain on free hosting; no active threats but moderate risk due to low reputation and naming.

Risk Factors
New/unknown subdomain on a free hosting platform
Low ranking in Cisco Umbrella (outside top 100 k)
Suspicious subdomain naming (includes "vip" and "hack")
Safety Factors
No credential or payment forms detected
No malicious Indicators of Compromise matches
No JavaScript malware patterns identified
No network IDS alerts
No external domains or cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

TITAN GHOST VIP

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(77%)

Domain Information

The domain 'rafsan-vip-hack-iptnzerq3t.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'rafsan-vip-hack-iptnzerq3t'. Count 7 characters in 'edgeone' split between four vowels and three consonants. Splitting it apart reveals two 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://rafsan-vip-hack-iptnzerq3t.edgeone.app/

Page Load Overview

8.16s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:810 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software77% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
77%
documentation technical
48%
adult content
41%
phishing scam
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1104.21.15.25Singapore
043.152.26.58Singapore
12--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B3E162636A5110366587E2A53EB2C70E3239D103F70749643DBC5280CFCDAE696FABD8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gQT0jwW7fY05Xcs+q8Zqtv2z1UX9GfPU+afKulfQ9OJBvg077DC1OseUCROtYh:VOVMGQqUz1U46g0+OZUFa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7335:CAHGAOAAkG8+CSJyDiGKyqBGwAQKJMkBAViAIKIgwOkIjCWAKgRggAiWA0BhECIBYlCAAHFSrBCGBAGDgCiVcQJE5DAAIRRB

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:0018183c18180000
Perceptual Hash:cc6663c9cc6663c9
Difference Hash:f0e8f0e8b2f0e8f0
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#c58a87

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data