Security Scan Report: kevinlovefund.org

Submitted: Oct 25, 2025, 6:05:10 AMCompleted: Oct 25, 2025, 6:07:20 AMpubliccompleted
Loading additional data...

Summary

This website contacted 34 IPs in 2 countries across 12 domains to perform 123 HTTP transactions. The main domain is kevinlovefund.org and was registered NaN years ago.

Submitted URL: https://kevinlovefund.org/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns.

Safety Factors
Established domain age
Absence of malicious Indicators of Compromise
No forms collecting sensitive data
Clear charitable purpose with transparent information
Domain age information unavailable

Details

Page Title

Kevin Love Fund - Everyone is going through something that we can't see

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(70%)

Domain Information

Domain 'kevinlovefund.org' uses the non-profit oriented generic top-level domain (.org) while skipping any subdomain. The registrable portion 'kevinlovefund' spans 13 characters holding 5 vowels versus 8 consonants. Tokenizing the label suggests three words: kevin, love, fund. Median word length comes out to four characters. 'kevin' is most common in English usage. Usage also turns up in Chinese (Pinyin) and Albanian contexts.

Screenshot

Security scan screenshot of https://kevinlovefund.org/

Page Load Overview

72.66s
Total Load Time
123
HTTP Requests
12
Domains
4.5 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:4,888 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning70% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
70%
government public service
47%
news media journalism
40%
entertainment media
39%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2452.217.168.185Ashburn, Virginia, United States
AS16509AMAZON-02
3172.67.68.125United States
AS13335CLOUDFLARENET
3104.20.35.80United States
AS13335CLOUDFLARENET
3172.66.146.217United States
AS13335CLOUDFLARENET
3142.250.185.163United States
AS15169GOOGLE
3192.0.77.37San Francisco, California, United States
AS2635AUTOMATTIC
33.5.13.149United States
AS14618AMAZON-AES
368.178.223.225United States
AS398101GO-DADDY-COM-LLC
3142.250.185.106United States
AS15169GOOGLE
354.231.196.177Ashburn, Virginia, United States
AS16509AMAZON-02
12334--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11CE3A7D23C86243A215F319F500BB21C61C78AE5EF1269E1B6FB6164A775ED037F3219

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:sL7L0apkIQMFwi17krLC6LC9I6IbISO3Ql/B5TuGuah7qGDY9+LRUnykmaEI4l4t:wvTvQMqiHxKcem3Bo4i4fW1936J

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:153902:EoDEZQAAAtg8KYQgLoNBJTBQA0AEiXgYIAQEk4CrpIFLAlCrikKeAMsCBBSo0DEQ0Fgwchy0ZyEIjekAAAzwExKBURQGgWRo

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:ffc3c3c3c3c7cfcf
Perceptual Hash:b84f92c6c998e669
Difference Hash:3b1f033393979f1f
Wavelet Hash:ff838181c1c3c3cf
Color Hash:#1f937c

Scan History

Scan history not available

Unable to load historical scan data