Security Scan Report: status.ucf.edu

Submitted: Feb 14, 2026, 4:42:36 PMCompleted: Feb 14, 2026, 4:44:08 PMpubliccompleted
Loading additional data...

Summary

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

Submitted URL: https://status.ucf.edu

The Cisco Umbrella rank of the primary domain is #50,772 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Legitimate site with no security concerns.

Safety Factors
Well‑established domain (registered 1986‑10‑27)
High Cisco Umbrella ranking
No malicious Indicators of Compromise
No credential or payment forms
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

status.ucf.edu

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(83%)

Domain Information

Domain 'status.ucf.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'status'. The second-level label 'ucf' is 3 characters long with 1 vowel and two consonants. Splitting it apart reveals one word: ucf. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://status.ucf.edu

Page Load Overview

8.08s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:738 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software83% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
83%
documentation technical
62%
adult content
54%
education
45%
government public service
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
113.226.244.38United States
AS16509Amazon.com, Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14D048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:9fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz82bMy8OldO:qhoC9JSqzzbs6o3Sj3gcrsY2eA8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184461:FFIUgQsRDyBQggqELAg0gWCEINGxImhCQDRJAPg0JlUaDWE0DWDlCAKCACUAv2IkGx5CkAAsKEigiAdRIB5IpIQVOdABeEpA

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:ffcfc3cfffffffff
Perceptual Hash:b3318ccccc673333
Difference Hash:00180c1800000000
Wavelet Hash:3c1c000c0f0f0f0f
Color Hash:#d2bb79

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

Unable to load historical scan data