Security Scan Report: nilten.online

Redirected to: https://www.dynadot.com/forsale/nilten.online?drefid=2071

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Submitted: Nov 2, 2025, 12:25:20 PMCompleted: Nov 2, 2025, 12:26:24 PMpubliccompleted
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Summary

This website contacted 7 IPs in 1 country across 3 domains to perform 67 HTTP transactions. The main domain is dynadot.com.

Submitted URL: http://nilten.online/

Effective URL: https://www.dynadot.com/forsale/nilten.online?drefid=2071Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site appears to be a legitimate domain auction page with no security concerns.

Safety Factors
Standard hosting with no suspicious redirects
No credential or payment collection on the page
Domain is listed on a reputable registrar's auction platform
Domain age information unavailable

Details

Page Title

User Domain Auction:nilten.online | Dynadot

Scan Type

public

Language

🇺🇸

English

(55% confidence)

Category

technology software

(31%)

Domain Information

The domain name 'nilten.online' uses the modern generic top-level domain (.online) while skipping any subdomain. The core label 'nilten' covers 6 characters with 2 vowels and 4 consonants. Word splitting yields 2 words: nil, ten. The median word length lands at 3 characters. 'neil' most often appears in Lithuanian. It also appears in Czech and Galician contexts.

Screenshot

Security scan screenshot of http://nilten.online/

Page Load Overview

24.23s
Total Load Time
67
HTTP Requests
3
Domains
1.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:55%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:55%
Script Type:Latin
Text Length:189 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software31% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
31%
real estate property
31%
adult content
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1352.222.236.71United States
AS16509AMAZON-02
954.215.31.113San Jose, California, United States
AS16509AMAZON-02
952.222.236.107United States
AS16509AMAZON-02
9104.16.152.132United States
AS13335CLOUDFLARENET
9104.16.153.132United States
AS13335CLOUDFLARENET
952.222.236.60United States
AS16509AMAZON-02
952.222.236.94United States
AS16509AMAZON-02
677--

Detected Technologies2

JQueryv3.6.3
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F1225219AD1B720AA02306D8F4B1DB1C9E60C107DB028E64BAFE5AF4DFDDE885451EC9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:PPUQOLbdfb4ty4BPWkGS93j6qDPujFgGXj2jyuGUMCjEAab0cRH7ivy9ztGtvLEJ:UE+NDC7Bab4qQ+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10864:POAQTIABMIURhcUCkWgaDYwQ0KCmYhkIAPNgMyxhKoJDRGHEAyCCglRoN0BliKCogJuBHXQAURCHYpkAAmBoYioLISPwNAg6

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:2d08b8ffe7e7ffff
Perceptual Hash:c34b0936b69ce363
Difference Hash:556b6b704d4d3208
Wavelet Hash:0000387ce7e7f3f3
Color Hash:#d27997

Other Hashes

Crop Resistant:556b6b704d4d3208

Scan History

Scan history not available

Unable to load historical scan data