Security Scan Report: workday.tamu.edu

Redirected to:
https://employees.tamu.edu/workday/
Submitted: Apr 6, 2026, 4:15:38 PMCompleted: Apr 6, 2026, 4:17:19 PMpubliccompleted
Loading additional data...

Summary

This website contacted 9 IPs in 1 country across 10 domains to perform 1 HTTP transaction. The main domain is employees.tamu.edu and was registered NaN years ago.

Submitted URL: https://workday.tamu.edu

Effective URL: https://employees.tamu.edu/workday/Redirected

The Cisco Umbrella rank of the primary domain is #27,424 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate university Workday portal with no security concerns.

Safety Factors
HTTPS connection
Established institutional domain (tamu.edu)
No malicious Indicators of Compromise
No credential or payment collection
Only standard external resources (CDNs, Google fonts, analytics)
Domain age information unavailable

Details

Page Title

Workday | Division of Human Resources and Organizational Effectiveness

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(53%)

Domain Information

The domain 'workday.tamu.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'workday'. The second-level label 'tamu' is 4 characters long containing two vowels alongside 2 consonants. Splitting it apart reveals two words: t, amu. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://workday.tamu.edu

Page Load Overview

11.91s
Total Load Time
49
HTTP Requests
16
Domains
1.5 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:1,619 chars
Detector Agreement:75%

Website Classification

Primary Category

government public service53% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
53%
education
45%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
935.193.200.253Council Bluffs, Iowa, United States
AS396982Google LLC
5104.18.40.68United States
AS13335Cloudflare, Inc.
5104.18.10.207United States
5104.17.25.14United States
AS13335Cloudflare, Inc.
5128.194.210.191Bryan, Texas, United States
AS3794Texas A&M University
5142.251.127.113United StatesUnknown
5142.251.13.95United StatesUnknown
5142.250.187.227United StatesUnknown
5104.20.46.25United States
AS13335Cloudflare, Inc.
499--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19BE31499448011C9D312CD96C3C8DE5CE629DD7394611CFEB28E688E8FC7FD9A385A1B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:EW+aRFKIZSft2VmNFsmdmsmue/eLeeIIlkxIVk+kxIVkE4LUrdxS//SEbEVQZHc:x9RIIZSft2m8RE5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:155424:wIhlQV4pYooCSEgIIAakCycKSQRDFBpwQmHhQEIDENBA6AAmLJsUDGDSRQQSgRKB4WAE0zjEAIUZgyqoUtQZAdGQAEEcyAcK

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:ffffff0000030381
Perceptual Hash:add281ad522dde52
Difference Hash:01c1212129571727
Wavelet Hash:ffffff8000030383
Color Hash:#e06c6c

Scan History

Scan history not available

Unable to load historical scan data