ScanMalware.com

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: Apr 2, 2026, 1:40:36 AMCompleted: Apr 2, 2026, 1:42:12 AMpubliccompleted
Loading additional data...

Summary

This website contacted 17 IPs in 2 countries 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?utm_source=Inside+Higher+Ed&utm_campaign=24e9f04cc5-WNU_COPY_02&utm_medium=email&utm_term=0_1fcbc04421-24e9f04cc5-238016430&mc_cid=24e9f04cc5&mc_eid=UNIQID

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

The page is a legitimate University of Central Florida article; no phishing or malware detected.

Safety Factors
Established, reputable domain (ucf.edu) with long registration history
Legitimate redirect service (bit.ly) leading to official brand domain
No suspicious JavaScript behavior beyond normal minification
No forms collecting sensitive data
Open Graph metadata correctly reflects the university brand
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

Within the Libyan country-code top-level domain (.ly), 'bit.ly' is registered. The core label 'bit' covers 3 characters containing one vowel alongside 2 consonants. Word splitting yields one word: bit. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bit.ly/47pnrvk?utm_source=Inside+Higher+Ed&utm_campaign=24e9f04cc5-WNU_COPY_02&utm_medium=email&utm_term=0_1fcbc04421-24e9f04cc5-238016430&mc_cid=24e9f04cc5&mc_eid=UNIQID

Page Load Overview

4.73s
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
1523.185.0.1United States
AS54113Fastly, Inc.
3142.250.154.95United States
AS15169Google LLC
3142.251.153.119United States
AS15169Google LLC
3162.247.243.39United States
AS54113Fastly, Inc.
3142.250.187.232United States
AS15169Google LLC
367.199.248.10United States
AS396982Google LLC
3216.239.32.36United States
AS15169Google LLC
3216.239.34.36United States
AS15169Google LLC
3104.20.47.28United States
AS13335Cloudflare, Inc.
352.29.166.251Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
6317--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16BB31BF3799F54375327C2CBA031728CF11A9526D9498AF8F3FB419866C1EA50163B2E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:58bL5oxWOtbN+yOCypUmTD6vczE3xZY9Y8WFuCf8aOl8:05oxWOFN+t7xD60zE3xGY8WF18aOl8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:113941:nqo6RJIyBgxkgmljwaGRCDQriAkMFRwh+AK/EZFqAEAgkCBoCHAWpCAQoJQAGCBOJAKhLWgoKRVQNMwmTSQwiEXBxopB4xVE

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:b616b4b4431e92b7
Difference Hash:ccb4d1714d2c330e
Wavelet Hash:00000000ffffffff
Color Hash:#64d22d

Other Hashes

Crop Resistant:ccb4d1714d2c330e,43b2262636aa3253,ccd4bcb2d5d1356d

Scan History

Scan history not available

Unable to load historical scan data