Security Scan Report: login.wayne.edu

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Submitted: Dec 10, 2025, 3:39:24 PMCompleted: Dec 10, 2025, 3:40:04 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 15 HTTP transactions. The main domain is login.wayne.edu.

Submitted URL: https://login.wayne.edu/

The Cisco Umbrella rank of the primary domain is #136,046 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 85%

3
Risk Score

Likely legitimate university login page, but hidden password field warrants caution.

Risk Factors
Hidden password field that is not visible to the user
Safety Factors
Domain is a subdomain of an established educational institution
No malicious Indicators of Compromise detected
No external redirects or third‑party links
Domain age information unavailable

Details

Page Title

Login - Academica

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

The domain 'login.wayne.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'login'. Count 5 characters in 'wayne' containing 2 vowels alongside three consonants. Breaking it apart gives one word: wayne. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://login.wayne.edu/

Page Load Overview

21.97s
Total Load Time
15
HTTP Requests
1
Domains
419 KB
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:922 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education
45%
technology software
35%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15141.217.0.155New Baltimore, Michigan, United States
AS237MERIT-AS-14
151--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D913E93783E441215C06C1F66972534BF798E04B8C929D36F6AD85809F9BCCD61EF1EA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:s3jPOQMU94Vo/nmUsAc2wk/BK3TYOWDibnr99Sclhkt:s3jxm0mUsAdw+BK3TYOWDwnr99Sclhkt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:41426:BMCBBEyDgmo0AefkEESAXiSQIBkgBuAKJHCKAQBgMCXMCAAgDFryRbNBBQEjWgPAEKIAIa1wIgmIg0i4AiTVYQKa0iUIACVo

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data