Summary
This website contacted 6 IPs in 1 country across 7 domains to perform 1 HTTP transaction. The main domain is sso.tamus.edu and was registered NaN years ago.
Submitted URL: https://sso.tamus.edu
Effective URL: https://sso.tamus.edu/Logon.aspx?entityID=https%3A%2F%2Fsso.tamus.edu%2Fshibboleth&return=https%3A%2F%2Fsso.tamus.edu%2FShibboleth.sso%2FLogin%3FSAMLDS%3D1%26target%3Dcookie%253A1776655755_7468Redirected
The Cisco Umbrella rank of the primary domain is #98,854 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 82%
Legitimate university SSO page; low risk despite an unusual password‑only field.
Risk Factors
Safety Factors
Details
Page Title
TAMUS SSO : Logon
Scan Type
public
Language
English
Category
technology software
(46%)Domain Information
The domain name 'sso.tamus.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'sso'. The registrable portion 'tamus' spans 5 characters split between two vowels and 3 consonants. Tokenizing the label suggests two words: tam, us. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 10 | 204.56.169.67 | Kingsville, Texas, United States | AS1970Texas A&M University |
| 9 | 128.194.92.223 | College Station, Texas, United States | AS3794Texas A&M University |
| 9 | 104.18.23.29 | United States | AS13335Cloudflare, Inc. |
| 9 | 142.250.154.97 | United States | AS15169Google LLC |
| 9 | 199.79.56.116 | Texarkana, Texas, United States | AS32955Texas A&M University-Texarkana |
| 9 | 141.193.213.11 | United States | AS209242Cloudflare London, LLC |
| 55 | 6 | - | - |
Detected Technologies9
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
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