Security Scan Report: lewisuniversity.blackboard.com

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Submitted: Feb 11, 2026, 3:09:34 PMCompleted: Feb 11, 2026, 3:11:12 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is lewisuniversity.blackboard.com and was registered NaN years ago.

Submitted URL: https://lewisuniversity.blackboard.com

The Cisco Umbrella rank of the primary domain is #8,541 of the top 1 million websitesTop 10K Site

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

lewisuniversity.blackboard.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(62%)

Domain Information

The domain 'lewisuniversity.blackboard.com' uses the commercial generic top-level domain (.com) with subdomain 'lewisuniversity'. Count 10 characters in 'blackboard' holding 3 vowels versus seven consonants. Splitting it apart reveals 1 word: blackboard. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lewisuniversity.blackboard.com

Page Load Overview

21.89s
Total Load Time
51
HTTP Requests
5
Domains
196 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-US
Text Length:1,927 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software62% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
62%
education learning
39%
blog personal website
38%
government public service
35%
documentation technical
33%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5152.54.199.164Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
511--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CA048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:pfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz42bMy8Olde:ehoC9JSqzzbs6o3Sj3gcrsk2eAE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184541:AB5R0CwQAIgY8NmcagDKBmAwEwAxDxACqAAsgDRQjN8MaGhNINIECYOIIIQkiAZASKICwelEZAAfh2TZKgAQM/ixOdWI1AnS

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc673323
Difference Hash:00180c1400000000
Wavelet Hash:3c1c000cf0f0f0f0
Color Hash:#452dd2

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data