Security Scan Report: ariyan-treadar-vip-avaitor-hack.edgeone.dev

Submitted: Completed: publiccompleted
This website contacted 11 IPs in 3 countries across 8 domains to perform 52 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 5 months ago.

Submitted URL: https://ariyan-treadar-vip-avaitor-hack.edgeone.dev/

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Fake 'Aviator hack/predictor' page using a device-locked scare to push users into Telegram contact while collecting phone numbers and passwords via a registration form — a deceptive gambling-related scam funnel.

Risk Factors (7)
Credential-collection form (password fields) on a deceptive, purpose-built hack-tool page
Password field with no accompanying username/email field — harvesting pattern
False claims of a working 'hack'/'predictor' for a gambling game
Fabricated device-lock scare prompting contact via Telegram
Off-platform Telegram admin contact used to move victims away from oversight
Unknown-age subdomain on a free hosting platform with a scam-themed hostname
External betting domain (playwin27.site) referenced by the registration flow
Domain age information unavailable

Details

Page Title

AVIATOR HACK 4X™ SYSTEM

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'ariyan-treadar-vip-avaitor-hack.edgeone.dev' is registered; it also runs on subdomain 'ariyan-treadar-vip-avaitor-hack'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus 3 consonants. Breaking it apart gives two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ariyan-treadar-vip-avaitor-hack.edgeone.dev/

Page Load Overview

7.95s
Total Load Time
2.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:40%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:bn
Text Length:314 chars
Detector Agreement:50%
Language mismatch: Declared as bn but detected as en

Website Classification

Primary Category

technology software87% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
87%
cryptocurrency blockchain
47%
government public service
32%
phishing scam
30%
documentation technical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1243.174.246.29Singapore
443.174.247.29Singapore
4142.250.154.95Google · CDNUnited States
AS15169Google LLC
4188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4195.154.239.27Paris, Île-de-France, France
AS12876Scaleway SAS
4142.251.110.94Google · CDNUnited States
AS15169Google LLC
4188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4195.154.239.26Paris, Île-de-France, France
AS12876Scaleway SAS
4142.251.14.94Google · CDNUnited States
AS15169Google LLC
4142.251.13.97Google · CDNUnited States
AS15169Google LLC
5211--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19B22B57632011538F7CBFA9578B2C75F327581089A43922E1DFD94A491DEDA8C93FB84

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:/FVK372XSDqM2PeFinNyOkM/OSmG8h/h0dHAj6AjCG5z8CyvNs94UyYVbg:dVK3CCDqtLNyTxGiEAj6AjCmiq94U8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10045:kACEAARXEhKihBBSQAgEIW8DyoaGHKAHhQDAyXHYuARx01pCgIjjBmSDhIhYIENEYEAGSoR61CABAAEMKkYEQBhg5JBoaADW

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:0018181818181818
Perceptual Hash:882222222776fffd
Difference Hash:cdf232b2b2b2b3b3
Wavelet Hash:041c3c3c18181919
Color Hash:07008000e00

Scan History

Scan history not available

Unable to load historical scan data