Security Scan Report: liss-ten.makeup

Submitted: Feb 13, 2026, 10:24:46 AMCompleted: Feb 13, 2026, 10:26:17 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 liss-ten.makeup and was registered NaN years ago.

Submitted URL: https://liss-ten.makeup/page-404.html

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Newly registered domain with no malicious signs; low risk but monitor for future changes.

Risk Factors
Brand‑new domain (registered only 2 days ago)
Safety Factors
No credential or payment forms present
No external links or third‑party resources
No malicious Indicators of Compromise
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

liss-ten.makeup

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(80%)

Domain Information

Domain 'liss-ten.makeup' uses the .makeup top-level domain while skipping any subdomain. The second-level label 'liss-ten' is 8 characters long split between two vowels and 5 consonants, plus one hyphen. Breaking it apart gives three words: lis, s, ten. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://liss-ten.makeup/page-404.html

Page Load Overview

8.09s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:741 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software80% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
80%
documentation technical
60%
adult content
49%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1185.68.247.135Moscow, Moscow, Russia
AS41745Baykov Ilya Sergeevich
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16F048E77329A063986558498E05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:jfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszO2bMy8Oldd:8hoC9JSqzzbs6o3Sj3gcrsq2eAv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184505:KAGAMcAcaSCkWjWRAIAZxFAKLSAAgwsAIAhhs0LAUcJFajEEMMSTAAK5A5BAhjTDEGMiQi8wkHGJEGaAUUJODNVg4mEAIYgh

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc673323
Difference Hash:00180c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#bf9b40

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data