Security Scan Report: mattie.lol

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

Submitted: Jan 22, 2026, 6:36:02 AMCompleted: Jan 22, 2026, 6:36:24 AMpubliccompleted
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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://mattie.lol/

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well-established domain with minimal risk
Absence of credential or payment forms
No malicious Indicators of Compromise matches
Block page suggests protective security measure
Redirect leads to a consistent final destination
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

Domain 'mattie.lol' uses the .lol top-level domain while skipping any subdomain. The second-level label 'mattie' is 6 characters long with three vowels and three consonants. Word splitting yields 1 word: mattie. Median word length comes out to six characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

3.08s
Total Load Time
64
HTTP Requests
12
Domains
115 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
22188.114.96.3Germany
21104.18.68.40United States
AS13335CLOUDFLARENET
2154.215.31.113San Jose, California, United States
AS16509AMAZON-02
643--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AEB17376BEBD213E00A3919236BDA3483AB0D013DB670590B2ACC1391F5EF56FD1B598

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:ljHjCIjuTkDa/D+DMF+C8pZqXKHvpIkdNznRovPaQxJbKnnx/Iq:ljHjDjusa/So+n6aHvFdNznCvieJanxJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5542:RAIkFkiCBABCInIBQhADAAABIGBXkAASAIoCAaIFJKAkMDMCBTRBkAAAgmgwhAKKJjkFk8CBBIgEAK4QBAACBERkAgQCBIAE

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:#2d8676

Other Hashes

Crop Resistant:1c1e50684870161c

Scan History

Scan history not available

Unable to load historical scan data