Security Scan Report: li.rtl.nl

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Submitted: May 11, 2026, 11:51:31 AMCompleted: May 11, 2026, 11:53:26 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is li.rtl.nl and was registered NaN years ago.

Submitted URL: https://li.rtl.nl

The Cisco Umbrella rank of the primary domain is #72,013 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #72,013.

Safety Factors
Well-established domain (ranked #72,013)
No forms or interactive credential elements
No IoC, YARA, or IDS alerts
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Domain 'li.rtl.nl' uses the Dutch country-code top-level domain (.nl), featuring subdomain 'li'. The second-level label 'rtl' is 3 characters long with zero vowels and 3 consonants. Word splitting yields 1 word: rtl. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://li.rtl.nl

Page Load Overview

0.26s
Total Load Time
2
HTTP Requests
1
Domains
9 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
0
Detector Agreement:0%

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
22.16.168.101Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxQXbZ6iF4:qzxO965

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:a7fe83ec64bb23eb28090598db3d166e

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#e0706c

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data