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Security Scan Report: meetingstreetscholarshipfund.org

Submitted: Nov 20, 2025, 12:52:34 AMCompleted: Nov 20, 2025, 12:54:35 AMpubliccompleted
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Summary

This website contacted 78 IPs in 4 countries across 24 domains to perform 127 HTTP transactions. The main domain is meetingstreetscholarshipfund.org and was registered NaN years ago.

Submitted URL: https://meetingstreetscholarshipfund.org/college-report/winthrop-university/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No login or payment forms present
Domain age information unavailable

Details

Page Title

Winthrop University - Scholarships South Carolina, Meeting Street Scholarship Fund

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(32%)

Domain Information

Domain 'meetingstreetscholarshipfund.org' uses the non-profit oriented generic top-level domain (.org) and has no subdomain. The second-level label 'meetingstreetscholarshipfund' is 28 characters long holding nine vowels versus 19 consonants. Word splitting yields 4 words: meeting, street, scholarship, fund. Expect 6.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://meetingstreetscholarshipfund.org/college-report/winthrop-university/

Page Load Overview

2.95s
Total Load Time
127
HTTP Requests
24
Domains
3.4 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:3,107 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning32% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
32%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
67192.124.249.128Menifee, California, United States
AS30148SUCURI-SEC
1052.208.76.107Dublin, Leinster, Ireland
AS16509AMAZON-02
723.36.162.7Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6104.19.148.8United States
AS13335CLOUDFLARENET
6142.250.184.227United States
AS15169GOOGLE
3142.250.186.136United States
AS15169GOOGLE
3104.17.91.187United States
AS13335CLOUDFLARENET
3157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2104.18.10.207United States
AS13335CLOUDFLARENET
2157.240.253.1Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
12778--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14A430AB3480D383A42A637D99095730DF2DB993ACF405955F3FF2768AB85EE5227260C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:dbmSapvqDayFzq04U4O4DAhF4yg30kPgvCwFuRV9:dbmFtqmyFzq04USAh/g3hgqwFuRV9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:56692:sDYRhEh0CJAAJSNJF0qVJwYVGGNy4YJwhhiuRoNAEuLWYBBKAlQq5i8XgjMAAlIQaVZQBAOCIGJsgghSqBCgAUBngC6QLg8E

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:00ffff81818181ff
Perceptual Hash:af10436e3c6b91a7
Difference Hash:3363183333332323
Wavelet Hash:00ffff81818181ff
Color Hash:#4086bf

Other Hashes

Crop Resistant:3363183333332323,d4b29aab2baa92c4,c0c4c8eccbe5e560,05c40b33332bd001,3032e3f232c1c163

Scan History

Scan history not available

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