Security Scan Report: regent.lol

Redirected to: https://s0cial.com/?utm_source=regent.lol&utm_medium=referral&utm_campaign=lol_network

Submitted: Jan 22, 2026, 8:53:26 PMCompleted: Jan 22, 2026, 8:53:51 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 10 HTTP transactions. The main domain is s0cial.com and was registered NaN years ago.

Submitted URL: https://regent.lol/

Effective URL: https://s0cial.com/?utm_source=regent.lol&utm_medium=referral&utm_campaign=lol_networkRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well-established domain (over 18 years old)
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
Meta tags are generic and do not impersonate any brand
Domain age information unavailable

Details

Website Access Blocked

This website blocked our scanner, likely using AWS WAF, Cloudflare, or similar bot protection. The page may show differently for regular users.

Page Title

Attention Required! | Cloudflare

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(99%)

Domain Information

Within the .lol top-level domain, 'regent.lol' is registered with no subdomain. The registrable portion 'regent' spans 6 characters containing two vowels alongside four consonants. Tokenizing the label suggests one word: regent. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

4.07s
Total Load Time
65
HTTP Requests
12
Domains
192 KB
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:4,985 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network99% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
99%
entertainment media
86%
adult content
73%
education learning
51%
documentation technical
50%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23188.114.96.3Germany
2154.215.31.113San Jose, California, United States
AS16509AMAZON-02
21104.18.68.40United States
AS13335CLOUDFLARENET
653--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T172B17336BEBD253E00A391A225BDA3487AB0D013DB67059072ACC1391F5EF56BD1B594

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:ljHjCIjuTkDa/D+DMF+C8pZqXKHvpIkdNAYnRtvPaQxJbKU2nx/Iq:ljHjDjusa/So+n6aHvFdNAYnfvieJT2n

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5542:RAIkFkiCBABCInIBQhADAAABICBXlAARAIoCAaIFJKAkMDMCBTRBkAAAgmgwgAKKJjkFk8CABIgEAK4QBAACBERkAgQCBoAE

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:c780002424fec3ff
Perceptual Hash:b722bcb492bccc2c
Difference Hash:1c1e50684870161c
Wavelet Hash:c7c2202424fec3ff
Color Hash:#6ca2e0

Other Hashes

Crop Resistant:1c1e50684870161c

Scan History

Scan history not available

Unable to load historical scan data