Security Scan Report: apply.baylor.edu

Redirected to:
https://admissions.web.baylor.edu/
Site favicon
Submitted: Jun 16, 2026, 9:06:25 AMCompleted: Jun 16, 2026, 9:08:02 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 2 HTTP transactions. The main domain is admissions.web.baylor.edu and was registered NaN years ago.

Submitted URL: https://apply.baylor.edu

Effective URL: https://admissions.web.baylor.edu/Redirected

The Cisco Umbrella rank of the primary domain is #194,551 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate university admissions page with no malicious activity detected.

Safety Factors
Established domain age (>10 years)
Self‑branding matches official institution
No malicious signals (IoC, YARA, IDS, credential exfiltration)
No forms collecting sensitive data
Domain age information unavailable

Details

Website Access Blocked

This website blocked our scanner, likely using AWS WAF, Cloudflare, or similar bot protection. The page may show differently for regular users.

Page Title

Just a moment...

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(87%)

Domain Information

The domain name 'apply.baylor.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'apply'. The core label 'baylor' covers 6 characters holding two vowels versus 4 consonants. Tokenizing the label suggests one word: baylor. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://apply.baylor.edu

Page Load Overview

14.16s
Total Load Time
86
HTTP Requests
16
Domains
28.5 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
Text Length:12,505 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning87% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
87%
education
45%

Detected Features

Search
OG: Landing page

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
30104.16.62.32United States
AS13335Cloudflare, Inc.
28104.16.61.32United States
AS13335Cloudflare, Inc.
2834.198.122.35Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
863--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FDD15DB3A96014266B71E7B179F37364A315F0049A05F09CF8A1D10E56DCF6B848C6C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:PNygLGvmXZzIEb0EpFW87SYbhy9EMWBdzEzmouFPfqhGODm6owkpf2Yzueh8Cymw:PNN2axFBJoirVouPfqcsu97yWw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6203:hIoYCkqAgY4JhJSwBA6gcwQA0AkK2ARIHABCKDGECKAAEiYCMVAKBQBKRAg8QFiEgABsSCAICQgVAQCcCIAVAwgpYQiMBwcI

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

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