Security Scan Report: redirect.s0cial.com

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

Submitted: Jan 20, 2026, 7:49:14 PMCompleted: Jan 20, 2026, 7:49:35 PMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 11 domains to perform 62 HTTP transactions. The main domain is s0cial.com and was registered NaN years ago.

Submitted URL: https://redirect.s0cial.com/?source=bottom.lol

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

The Cisco Umbrella rank of the primary domain is #596,898 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Well‑established domain (>18 years old)
No malicious Indicators of Compromise matches
No login, payment, or sensitive data collection forms
Standard single redirect without suspicious parameters
Domain age information unavailable

Details

Page Title

s0cial.com | s0cial.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(99%)

Domain Information

The domain 'redirect.s0cial.com' uses the commercial generic top-level domain (.com) with subdomain 'redirect'. The core label 's0cial' covers 6 characters containing two vowels alongside 3 consonants; it also includes one digit. It segments into four words: s, 0, cia, l. Median word length comes out to one character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://redirect.s0cial.com/?source=bottom.lol

Page Load Overview

2.16s
Total Load Time
62
HTTP Requests
11
Domains
114 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
12146.75.121.40Frankfurt am Main, Hesse, Germany
AS54113FASTLY
534.120.250.63Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
515.197.78.241United States
AS16509AMAZON-02
565.9.175.61United States
AS16509AMAZON-02
534.160.81.0Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
534.36.73.246Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
5104.18.0.22United States
AS13335CLOUDFLARENET
5104.18.1.22United States
AS13335CLOUDFLARENET
5104.18.68.40United States
AS13335CLOUDFLARENET
5104.18.69.40United States
AS13335CLOUDFLARENET
6211--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C8F24372E681043B572FC4A1B5B01BD465359C36CF924696FB789222F3C78F63702AAD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:4cWiujS6XX7KJdUm1klxz509+Zxx3Dk9x1DcaTfkHxneC0MxfLwhamydVboL+wl:xujTKJdUm1klJ69+Zxpk9QaTfuMjufLq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34909:ACGGgMwIvpiIEUSeMOaJcgEQQoXSKBIoDYWoPMhQkUAA6QQigxCSQqIQBINcEFiAOOyEA5QRdCDVAAHwEVwwE2vIAEFIFuFD

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:ffc3c3ef83839f83
Perceptual Hash:bd61c18eca8ec66c
Difference Hash:5a96960d3337272f
Wavelet Hash:ffc3c38781819f81
Color Hash:#b7c587

Other Hashes

Crop Resistant:5a96960d3337272f

Scan History

Scan history not available

Unable to load historical scan data