Security Scan Report: rjfnnnoc.win

Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is rjfnnnoc.win and was registered 1 year 10 months ago.

Submitted URL: https://rjfnnnoc.win

The Cisco Umbrella rank of the primary domain is #945,585 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 72%

0
Risk Score

Bare 'Coming soon!' placeholder on a 643-day-old domain. No forms, no scripts, no threat-intel or malware signals. Nothing malicious found.

Safety Factors (5)
Domain over 1 year old (registered 2025-01-07)
Zero forms and zero credential/payment collection
All JavaScript served from the site's own domain; no external script hosts
No threat-intelligence, hunting rule, IDS or Safe Browsing hits
No brand claims and no impersonation of any other entity
Domain age information unavailable

Details

Page Title

Coming soon!

Scan Type

public

Domain Name Analysis

The domain name 'rjfnnnoc.win' uses the .win top-level domain without a subdomain. The second-level label 'rjfnnnoc' is 8 characters long holding 1 vowel versus 7 consonants. Tokenizing the label suggests four words: rj, fn, n, noc. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Coming soon!

Page Load Overview

0.14s
Total Load Time
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:25 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1193.200.64.187Amsterdam, North Holland, Netherlands
AS6681Giveme Cloud Sp Z O O
1193.200.64.188Amsterdam, North Holland, Netherlands
AS6681Giveme Cloud Sp Z O O
22--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T151E101E7D3A92875E5C74BA4CBA63D34F69D78BAC2D14E50733CC5A52BC3AA1440E188

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:FJPJZsz6CxswZOb009TbBarX9ocBb35R062vAVIu+GA:zaTZOY09T8X99BD5R062XuHA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7069:ACAAQCTeQQi8ijAAJAhUIyqBEKE3wgiDUY7AlIiUACDsiEESISKwFMgAAKeCSAuAAIAKsBEylgBAAIhItCIQ+DVhABgAqENA

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:ffffe7e7e7ffffff
Perceptual Hash:e626999966669999
Difference Hash:08000c0d0c000000
Wavelet Hash:0c0c0404e4e4fcfc
Color Hash:N/A

Other Hashes

Crop Resistant:08000c0d0c000000

Scan History

Scan history not available

Unable to load historical scan data