Security Scan Report: uniopayinl.lol

Submitted: Apr 28, 2026, 7:38:12 PMCompleted: Apr 28, 2026, 7:39:33 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 uniopayinl.lol and was registered NaN years ago.

Submitted URL: https://uniopayinl.lol/

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

New unranked site with no forms; moderate risk due to age and lack of reputation.

Risk Factors
New domain (<7 days)
Unranked domain reputation
Adult content classification
Safety Factors
No forms or payment fields
No malicious JavaScript or YARA matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

uniopayinl.lol

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(71%)

Domain Information

Domain 'uniopayinl.lol' uses the .lol top-level domain without a subdomain. The registrable portion 'uniopayinl' spans 10 characters with 5 vowels and five consonants. It segments into five words: u, nio, pay, in, l. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://uniopayinl.lol/

Page Load Overview

0.69s
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:160 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content71% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
71%
news media journalism
47%
documentation technical
46%
government public service
43%
healthcare medical
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.173.73.2Santa Clara, California, United States
AS132203Tencent Building, Kejizhongyi Avenue
11--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T132048F773296063986558498F05B43099F20B143F50AC9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:C/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsPz2bMy8Old/:jhoC9JSqzzbs6okSjggcpsb2eA9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:185159:ASAQIS/Dh+aDROYjMBwBFYsUAGDAwAhggAuDowOAhqMoBjlKEw2gAKAjSiiFIgCDIlclCxIIoAJARERYhguNBonMh0A8AiFK

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:ffcfc7f3ffffffff
Perceptual Hash:b1319acecc6c3333
Difference Hash:00181c0600000000
Wavelet Hash:ffdfc7f300000000
Color Hash:#40bf75

Other Hashes

Crop Resistant:00181c0600000000

Scan History

Scan history not available

Unable to load historical scan data