Security Scan Report: refinedng.com

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Submitted: Dec 25, 2025, 7:19:55 PMCompleted: Dec 25, 2025, 7:20:36 PMpubliccompleted
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Summary

This website contacted 17 IPs in 3 countries across 17 domains to perform 98 HTTP transactions. The main domain is refinedng.com and was registered NaN years ago.

Submitted URL: https://refinedng.com/meet-damola-adamolekun-the-man-who-saved-red-lobster/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no apparent security threats.

Safety Factors
Established domain age
Absence of suspicious forms or data collection
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Meet Damola Adamolekun, The Man Who Saved Red Lobster - RefinedNG

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(70%)

Domain Information

Domain 'refinedng.com' uses the commercial generic top-level domain (.com) with no subdomain. Its registrable label 'refinedng' stretches across 9 characters split between three vowels and 6 consonants. Breaking it apart gives two words: refined, ng. Median word length comes out to 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://refinedng.com/meet-damola-adamolekun-the-man-who-saved-red-lobster/

Page Load Overview

4.10s
Total Load Time
113
HTTP Requests
19
Domains
2.6 MB
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-US
Text Length:10,479 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog70% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
70%
corporate
70%
forum
50%

Detected Features

Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1723.45.237.21Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
645.60.14.54United States
AS19551INCAPSULA
618.245.46.13United States
AS16509AMAZON-02
6142.250.186.138United States
AS15169GOOGLE
6216.239.34.36Unknown
6108.157.4.106UnknownUnknown
657.144.222.128Amsterdam, North Holland, Netherlands
AS32934FACEBOOK
623.197.137.183Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
6172.217.18.2UnknownUnknown
6142.250.185.227United States
AS15169GOOGLE
11317--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AE342A67F288097B263B8965818C7A78FD2D8871C70559E4F1FE93384BCDDEA111236E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:KS8NZ/M44eqy6hkRFhmV2Y93GGGxK8iqtu4kkRFDYwXODSXmXlxdRACSOAQRhurA:KS81tQSEGXmXACSOAQRhuGZd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:245466:SAA0VICsYiSBJwKBQQAYrxIG2gcYiDUEtfQALSJZQamB5FDAIeIoKIBMI+9UABOqAAMAhQggBIAAeKwAFYRcAm0EQtIABk5l

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:ffe7e7ffcec0c1c4
Perceptual Hash:f08f2671cf20dc72
Difference Hash:2a0d0e969c949d0d
Wavelet Hash:e7e7c7cbc8c8c0c0
Color Hash:#79c3d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data