Security Scan Report: tuskegee.edu

Redirected to:
https://www.tuskegee.edu/news/2025/12/Annual-Christmas-Concert-Delight...
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Submitted: Dec 7, 2025, 2:32:32 PMCompleted: Dec 7, 2025, 2:33:35 PMpubliccompleted
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Summary

This website contacted 35 IPs in 3 countries across 12 domains to perform 81 HTTP transactions. The main domain is tuskegee.edu and was registered NaN years ago.

Submitted URL: https://tuskegee.edu/news/2025/12/Annual-Christmas-Concert-Delights-Audience-to-Bring-in-the-Season.html

Effective URL: https://www.tuskegee.edu/news/2025/12/Annual-Christmas-Concert-Delights-Audience-to-Bring-in-the-Season.htmlRedirected

The Cisco Umbrella rank of the primary domain is #979,728 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The page appears legitimate with no security concerns.

Safety Factors
Established university domain (tuskegee.edu)
Content is a standard news article with only search forms
Domain age information unavailable

Details

Page Title

Annual Christmas Concert Delights Audience to Bring in the Season | Tuskegee University

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(65%)

Domain Information

You're looking at domain 'tuskegee.edu' on the sponsored educational top-level domain (.edu) and has no subdomain. The second-level label 'tuskegee' is 8 characters long split between four vowels and 4 consonants. Breaking it apart gives 1 word: tuskegee. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tuskegee.edu/news/2025/12/Annual-Christmas-Concert-Delights-Audience-to-Bring-in-the-Season.html

Page Load Overview

22.83s
Total Load Time
81
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:7,482 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning65% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
65%
documentation technical
56%
technology software
56%
government public service
55%
education
45%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13104.21.27.152United States
AS13335CLOUDFLARENET
2157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2216.59.56.20United States
AS53334TUT-AS
2192.178.170.95United States
AS15169GOOGLE
2142.250.185.200United States
AS15169GOOGLE
2172.67.142.245United States
AS13335CLOUDFLARENET
2104.18.10.207United States
AS13335CLOUDFLARENET
2151.101.66.137San Francisco, California, United States
AS54113FASTLY
2216.239.32.36United States
AS15169GOOGLE
265.8.131.31United States
AS16509AMAZON-02
8135--

Detected Technologies5

JQueryv3.4.1
100%
100%
Bootstrapv3.3.7
100%
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T120D313919BDD3839821356C06938A32476F70F3AFA4A5594F2FF321CBF85F59452328A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ibkVrSoHGb7uN8s1f8p/N9lEXF1oNnZFA6QK4ECglzeE:i0rPx1f8p/N9lEXF1oNnP9QKLCgt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:134694:GyFE4bTAUCcQA0TJCkhBCNQKMhICLwWEYIlNAAxkAAoAMoiAEB6ARQIETSByBB+kYKg8ANEcwhpCqEMtAQFMKARKkw0YgxSo

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:00ffffffc38383c1
Perceptual Hash:ad96614d33163d3c
Difference Hash:8e00362c33332317
Wavelet Hash:00ffffff81818181
Color Hash:#3a7478

Scan History

Scan history not available

Unable to load historical scan data