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Security Scan Report: bit.ly

Redirected to: https://www.ucf.edu/lp/floridas-technological-university/?utm_source=newsletter&utm_medium=email&utm_campaign=insidehighered_mar_2026_wnu

Submitted: Mar 28, 2026, 4:28:29 PMCompleted: Mar 28, 2026, 4:29:59 PMpubliccompleted
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Summary

This website contacted 8 IPs in 1 country across 16 domains to perform 63 HTTP transactions. The main domain is ucf.edu and was registered NaN years ago.

Submitted URL: https://bit.ly/47pnrvk

Effective URL: https://www.ucf.edu/lp/floridas-technological-university/?utm_source=newsletter&utm_medium=email&utm_campaign=insidehighered_mar_2026_wnuRedirected

The Cisco Umbrella rank of the primary domain is #7,359 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate university article page; no phishing or malware indicators detected.

Safety Factors
Well‑established domain with long registration history
Top‑10k Cisco Umbrella ranking
Article page (og:type=article) reporting on the university
No credential or payment collection forms
No malicious Indicators of Compromise or network IDS alerts
Domain age information unavailable

Details

Page Title

Florida’s Technological University | University of Central Florida - Orlando, FL

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(64%)

Domain Information

The domain 'bit.ly' uses the Libyan country-code top-level domain (.ly) while skipping any subdomain. The registrable portion 'bit' spans 3 characters containing 1 vowel alongside 2 consonants. Tokenizing the label suggests one word: bit. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bit.ly/47pnrvk

Page Load Overview

3.07s
Total Load Time
63
HTTP Requests
16
Domains
5.5 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-us
Text Length:5,800 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical64% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
64%
education
45%
corporate
35%
news/blog
30%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14104.17.25.14United States
AS13335Cloudflare, Inc.
7172.66.148.49United States
AS13335Cloudflare, Inc.
723.185.0.1United States
AS54113Fastly, Inc.
7142.251.127.95United States
AS15169Google LLC
7142.251.20.97United States
AS15169Google LLC
718.245.64.167United States
AS16509Amazon.com, Inc.
7162.247.243.39United States
AS54113Fastly, Inc.
767.199.248.11United States
AS396982Google LLC
638--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16CB33BF379AE54375727C2CBA031728CF10AA527CA454AF4F3FB419867C1EA51162B2E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:W8o5PkMnOkZa6N+yOCypUYSDJ4cGt3xwY8WFuCf8aOac:y5cMnOkZTN+t7ODJRGt3xwY8WF18aOac

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:111387:Iq2UB4DsCwOsgiExJFADAzNwZYEBAEmQgJCAzgAALIQCGaOsAMgaWFoEhQjTwAqGgCAISi2SsgAYaAcgUxcGWSXQ6kygBiRC

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:00000000ffffffff
Perceptual Hash:be16f0b4471e83c3
Difference Hash:dcb6f175262c330e
Wavelet Hash:00000000ffffffff
Color Hash:#5385ac

Other Hashes

Crop Resistant:dcb6f175262c330e,43a2a42636a83253,cc54b4b2f4713766

Scan History

Scan history not available

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