Security Scan Report: riyad-vai-3-diemantion-predictor-dpgf4lq15ew2.edgeone.dev

Submitted: Completed: publiccompleted
This website contacted 16 IPs in 3 countries across 13 domains to perform 47 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 5 months ago.

Submitted URL: https://riyad-vai-3-diemantion-predictor-dpgf4lq15ew2.edgeone.dev/

AI Security Verdict

High Risk

Confidence: 68%

7
Risk Score

Anonymous edgeone.dev tenant selling 'WINGO 30S' gambling predictions and access keys, wiring scripts to unranked betting/payment APIs; deceptive gambling tooling, no verified card or credential theft on the DOM.

Risk Factors (6)
Gambling-prediction tool promising to forecast a live betting game's results while selling time-limited access keys β€” a classic deceptive service targeting gamblers
'Private server module' / key-generation management panel with hidden/iframe configuration and Telegram channel field
Anonymous, unranked subdomain on a free hosting platform with unknown creation date, making the operator unaccountable
Cross-origin calls to unranked betting/payment gateway endpoints (dkwinapi, arbargateway, payapiar, apiarbpay)
Registration screen collecting phone number and password (visible in OCR) despite no forms being captured in the DOM
Javascript-obfuscator IDS heuristics and an eval() call indicating hard-to-audit script behaviour
Domain age information unavailable

Details

Page Title

π‘πˆπ˜π€πƒ π•π€πˆ πŸ‘ πƒπˆπ„πŒπ€ππ“πˆπŽπ ππ‘π„πƒπˆπ‚π“πŽπ‘

Scan Type

public

Domain Name Analysis

The domain 'riyad-vai-3-diemantion-predictor-dpgf4lq15ew2.edgeone.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'riyad-vai-3-diemantion-predictor-dpgf4lq15ew2'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside three consonants. Segmentation suggests 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Β° a Β° = o ammo xm Register your phone Phone number . +880 v | Please enter the phone number @ Set password Set password @ @ Confirm password Β° Β° . Confirm password D &lnvite code 512412039933 @ Ihav...

Page Load Overview

3.03s
Total Load Time
7.3 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:459 chars
Detector Agreement:50%

Website Classification

Primary Category

social media network86% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
86%
adult content
80%
technology software
63%
government public service
53%
cryptocurrency blockchain
50%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1743.174.247.29Singapore
2192.178.183.95Google Β· CDNUnited States
AS15169Google LLC
2142.251.14.94Google Β· CDNUnited States
AS15169Google LLC
245.43.142.5United Kingdom
AS16276OVH SAS
2104.21.52.47Cloudflare Β· WAFUnited States
AS13335Cloudflare, Inc.
2185.15.59.240United States
AS14907Wikimedia Foundation Inc.
2142.251.110.94Google Β· CDNUnited States
AS15169Google LLC
243.174.246.29Singapore
245.43.142.3United Kingdom
AS16276OVH SAS
2172.67.195.97Cloudflare Β· WAFUnited States
AS13335Cloudflare, Inc.
4716--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B1C4FAC83D095A8F31185323665CB794A1923ECCE6C887F8B7DC60E766492FC6DE9271

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:A5DLsAaEsERK2LXUe1MpTTPJvZzv7dtHl:A1LsFo0r

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:563980:ACOSCnYBge2UAQENGoayKiMbKgsUSAPBAzklRpg4bQKMgABhNF1QrjYUiMCNAg4GHBFPgRA4gAnCJDGsgAIZaQKaAAEMJdNG

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:d9767627032709dc
Difference Hash:b23232b2b2b2b2b2
Wavelet Hash:38b8db1db838385b
Color Hash:07000030000

Other Hashes

Crop Resistant:b23232b2b2b2b2b2

Scan History

Scan history not available

Unable to load historical scan data