Security Scan Report: aviator-dinislam-mqi0hxpin4.edgeone.app

Submitted: Mar 21, 2026, 5:18:53 PMCompleted: Mar 21, 2026, 5:20:13 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is aviator-dinislam-mqi0hxpin4.edgeone.app and was registered NaN years ago.

Submitted URL: https://aviator-dinislam-mqi0hxpin4.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

Site shows no malicious activity but is a newly created subdomain on a hosting platform; treat cautiously.

Risk Factors
New subdomain on a free hosting platform with unknown age
Low domain ranking in Cisco Umbrella
Safety Factors
No forms (password, email, or payment) detected
No JavaScript malware patterns identified
No cross‑origin credential exfiltration observed
HTTPS connection (assumed from URL scheme)
Domain age information unavailable

Details

Page Title

AVIATOR AI SIGNAL

Scan Type

public

Language

🇧🇩

BN

(80% confidence)

Category

social media network

(77%)

Domain Information

Within the application-focused generic top-level domain (.app), 'aviator-dinislam-mqi0hxpin4.edgeone.app' is registered, featuring subdomain 'aviator-dinislam-mqi0hxpin4'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside three consonants. Word splitting yields 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://aviator-dinislam-mqi0hxpin4.edgeone.app/

Page Load Overview

0.37s
Total Load Time
2
HTTP Requests
1
Domains
57 KB
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:bn
Text Length:412 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network77% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
77%
technology software
47%
government public service
38%
entertainment media
30%
adult content
27%

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

T160519571D0CA203AA253C0C01B519B567081CFA7D69FD318EEE6B864D6DB4B76927389

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:KyLpp+JHRuT7f4KZcgYh6DZUlA0YpAJMScar7ISebdSDU6+928RstK:KsuxNESANp7+ISqdSD1Et

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3030:BQCBCIRQAIAAADAAiIAIKAIAJAwAAgABAAAoADAgACABNIIRCABIGQFIASBACQAQIAAAASQggAhQAFEAoAAAAQAAABAFEBCA

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:993366ccc93399cc
Difference Hash:00003232b2320c10
Wavelet Hash:30383c3c3c3c3838
Color Hash:#53931f

Other Hashes

Crop Resistant:00003232b2320c10

Scan History

Scan history not available

Unable to load historical scan data