Security Scan Report: rf-lns.com

Submitted: Oct 22, 2025, 11:10:21 PMCompleted: Oct 22, 2025, 11:11:30 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is rf-lns.com and was registered NaN years ago.

Submitted URL: http://rf-lns.com/

AI Security Verdict

High Risk

Confidence: 85%

9
Risk Score

Site is highly suspicious due to circular redirect and brand‑new unranked domain; do not trust.

Risk Factors
Circular redirect indicates URL manipulation
Brand‑new domain (<7 days) is typical for malicious setups
Unranked/low‑reputation domain increases suspicion
404 page with no legitimate content
Domain age information unavailable

Details

Page Title

Page not found

Scan Type

public

Language

🇺🇸

English

(52% confidence)

Category

documentation technical

(46%)

Domain Information

The domain name 'rf-lns.com' uses the commercial generic top-level domain (.com) with no subdomain. The second-level label 'rf-lns' is 6 characters long with zero vowels and 5 consonants; it also includes 1 hyphen. It segments into three words: rf, ln, s. Median word length is 2 characters. The linguistic tilt is Sinhala for 'rf'. Usage also turns up in Indonesian and Malay contexts.

Screenshot

Security scan screenshot of http://rf-lns.com/

Page Load Overview

17.86s
Total Load Time
4
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:52%
Script Type:Latin
Text Length:141 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical46% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
46%
news media journalism
42%
gambling betting
33%
adult content
33%
government public service
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4192.210.150.190Buffalo, New York, United States
AS36352AS-COLOCROSSING
41--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1621121CB49B61601B2C140547EA733922A94562B810AC560B10CB099DFC9F2E86E37DD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:F6QclfhE0evXSJ+kJAxmkNjkYkRgHe8dLN3DHgXocB14zSvudJBr4olf4x7RHts8:FspENMgYgFNMNBqzSv3olfALs1BzU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:988:JAQAAAgAAAAAAAAEAAAAAAAAABAAAAACBAAAAAAAAAAAAEAAABAAAAoAAAAAAQAAEACAIAAAAEwIAAAQAAAAAAAIAAAAAAAA

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:ffe7e7ffffffffff
Perceptual Hash:e666669999999926
Difference Hash:104d4c1000000000
Wavelet Hash:0f0703030f0f0f0f
Color Hash:#b679d2

Other Hashes

Crop Resistant:104d4c1000000000

Scan History

Scan history not available

Unable to load historical scan data