Security Scan Report: afford.ua.edu

Submitted: Dec 28, 2025, 6:07:05 AMCompleted: Dec 28, 2025, 6:09:04 AMpubliccompleted
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Summary

This website contacted 12 IPs in 1 country across 13 domains to perform 59 HTTP transactions. The main domain is afford.ua.edu and was registered NaN years ago.

Submitted URL: https://afford.ua.edu/scholarships/out-of-state-freshman/

The Cisco Umbrella rank of the primary domain is #77,071 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university scholarship page with no security concerns.

Safety Factors
Established university subdomain (ua.edu)
No suspicious forms or data collection
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Out-of-State Freshman Scholarships | Afford

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

Domain 'afford.ua.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'afford'. The second-level label 'ua' is 2 characters long containing two vowels alongside 0 consonants. Tokenizing the label suggests two words: u, a. Median word length is one character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://afford.ua.edu/scholarships/out-of-state-freshman/

Page Load Overview

82.99s
Total Load Time
59
HTTP Requests
0
Domains
N/A
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:8,187 chars
Detector Agreement:80%

Website Classification

Primary Category

education45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education
45%
government public service
34%
education learning
29%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1123.185.0.2United States
AS54113FASTLY
10184.24.77.156UnknownUnknown
10130.160.0.42UnknownUnknown
4216.239.32.36UnknownUnknown
4142.250.186.132UnknownUnknown
2142.250.185.136United States
AS15169GOOGLE
2142.250.185.99UnknownUnknown
274.125.133.155UnknownUnknown
2162.247.243.39United States
AS54113FASTLY
134.198.122.35United States
AS14618AMAZON-AES
012--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T173E36ED6B3A058F2375B87A8C05BB309F1655491A64945A2F0BED1D06ECCDBA1073B3F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:q7a4qb8h4DQtCvLIAmlwyxYspPHypkb+FqUCt8S8o0iov/:Aa4qa480vElDYspPS7Tu0io3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:148653:gZIxdwHMIQLRSkZUED8IgqAmvoCCGkCSAUAKA4rUpCAW8UtChVgIhCAjAQjghiAKsSgI6EHBAAosZf4CmAEABsGswAR2EAQh

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:00ffe7efffffff00
Perceptual Hash:b5eb04ca3573254e
Difference Hash:49000e0e332b3e36
Wavelet Hash:00ffc3c7839f9f00
Color Hash:#683a78

Scan History

Scan history not available

Unable to load historical scan data