Security Scan Report: cuttingboard.lol

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

Submitted: Jan 24, 2026, 8:57:01 PMCompleted: Jan 24, 2026, 8:57:25 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is s0cial.com and was registered NaN years ago.

Submitted URL: http://cuttingboard.lol/

Effective URL: https://s0cial.com/?utm_source=cuttingboard.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
Established domain (>18 years old)
No malicious Indicators of Compromise
No login or payment forms
Meta tags are generic and do not impersonate a brand
Unranked in Cisco Umbrella but long‑standing domain reduces suspicion
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

The domain 'cuttingboard.lol' uses the .lol top-level domain with no subdomain. The core label 'cuttingboard' covers 12 characters holding 4 vowels versus eight consonants. It segments into 2 words: cutting, board. Median word length is six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://cuttingboard.lol/

Page Load Overview

2.92s
Total Load Time
65
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
23188.114.96.3United States
AS13335CLOUDFLARENET
21104.18.68.40United States
AS13335CLOUDFLARENET
2154.215.31.113San Jose, California, United States
AS16509AMAZON-02
653--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12FB17276BEBD213E10A3819231BDA3483EB0D013DB670190B2ACC1391F5EF96F91B694

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:ljHjCIjuTkDa/D+DMF+C8pZqXKHvpIkdNnnRdvPaQxJbKjnx/Iq:ljHjDjusa/So+n6aHvFdNnnTvieJKnxJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5542:RAIkFkiCBABCInIRQhADAAABISBXkAAQAIoDAaIFJKAkMDMCBTRBkAAAgmgwgAKKJjkFk8CABIgEAK4QBAACBERkAgQCBIAE

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:#98d279

Other Hashes

Crop Resistant:1c1e50684870161c

Scan History

Scan history not available

Unable to load historical scan data