Security Scan Report: ragsf12.edgeone.dev

Submitted: Completed: publiccompleted
This website contacted 17 IPs in 3 countries across 13 domains to perform 48 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 5 months ago.

Submitted URL: https://ragsf12.edgeone.dev/

AI Security Verdict

High Risk

Confidence: 62%

7
Risk Score

Anonymous hosted subdomain asking for a phone number and password behind anti-devtools/right-click scripts, with undisclosed payment-gateway integrations and no stated service. The abuse-reputation IP tags are generic and not counted.

Risk Factors (6)
Orphan password field (password without an accompanying username/email field) on a one-form page
Active anti-analysis: DevTools keyboard shortcuts and right-click/context menu blocked
Obfuscator-usage network heuristics fired (informational only)
Credential collection on an anonymous, untraceable page with no service description or operator disclosure
Multiple undisclosed payment-gateway API integrations
Hosting-platform subdomain of unknown creation date, unranked in Cisco Umbrella
Domain age information unavailable

Details

Page Title

RAHAD

Scan Type

public

Domain Name Analysis

The domain 'ragsf12.edgeone.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'ragsf12'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and 3 consonants. Splitting it apart reveals two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

RAHAD ACTIVATE CORE < 4 SEAL CORE Register Please register by phone number or email Register your phone & Phone number +880 \Y Please enter the phone number © Set password Set passworc Confi...

Page Load Overview

10.34s
Total Load Time
4.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:bn
Text Length:93 chars
Detector Agreement:100%
Language mismatch: Declared as bn but detected as en

Website Classification

Primary Category

corporate business82% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
82%
adult content
60%
phishing scam
55%
healthcare medical
47%
cryptocurrency blockchain
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1643.174.247.29Singapore
2142.251.127.95Google · CDNUnited States
AS15169Google LLC
2142.251.13.94Google · CDNUnited States
AS15169Google LLC
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
245.43.142.4United Kingdom
AS16276OVH SAS
2172.67.177.201Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.250.154.94Google · CDNUnited States
AS15169Google LLC
2104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
245.43.142.5United Kingdom
AS16276OVH SAS
2104.21.31.146Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4817--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16FB5CB5323C09ED2134BDED26B89A6E5D5296AED3474DC87835C3DFB5FA84068DE08B0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:jlYuOiPC8QzhfeB5FL7sFBCwk6w5li+oS79lU+UTjDzTLZ1O54EaFG+zDANG+3NF:jlRWj8hoWwkPs+jUNDFcQw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2354398:qAMSkEDgBEDAFwpCULQgBAgzTAgHBB0DAYIVUcJgENmRHImykSWlAGwIHxxBmdIKBT2M0eHBRFBOZCCBwUmgAC8EjZAoEQoV

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:88022232fef6fcf8
Difference Hash:daf2b232b2b2b3b3
Wavelet Hash:0c181878bdba1f1f
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data