ScanMalware.com

Security Scan Report: www.franklin.edu

Submitted: Oct 27, 2025, 7:21:20 AMCompleted: Oct 27, 2025, 7:24:54 AMpubliccompleted
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Summary

This website contacted 79 IPs in 3 countries across 22 domains to perform 69 HTTP transactions. The main domain is franklin.edu and was registered NaN years ago.

Submitted URL: https://www.franklin.edu/career-guide/broadcast-announcers-and-radio-disc-jockeys/what-do-radio-announcers-do

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university page with a standard contact form.

Safety Factors
Established university domain
No credential or payment collection
No malicious Indicators of Compromise
Consistent branding with domain
Standard informational content
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by Cloudflare bot protection. Our scanner was challenged or blocked during access.

Page Title

What Do Radio Announcers Do: Daily Work & Skills

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(93%)

Domain Information

Domain 'www.franklin.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'www'. The second-level label 'franklin' is 8 characters long containing 2 vowels alongside 6 consonants. It segments into 1 word: franklin. The linguistic tilt is Afrikaans for 'franklin'. Secondary signals appear in Bosnian and Catalan.

Screenshot

Security scan screenshot of https://www.franklin.edu/career-guide/broadcast-announcers-and-radio-disc-jockeys/what-do-radio-announcers-do

Page Load Overview

5.48s
Total Load Time
69
HTTP Requests
22
Domains
929 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:38,983 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software93% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
93%
government public service
87%
education learning
65%
education
45%
documentation technical
43%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
233.15.68.94Columbus, Ohio, United States
AS16509AMAZON-02
12104.18.86.42United States
AS13335CLOUDFLARENET
669.192.160.235Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
423.212.211.68Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
313.35.58.121United States
AS16509AMAZON-02
218.172.114.101United States
AS16509AMAZON-02
2172.217.23.104United States
AS15169GOOGLE
23.33.220.150Seattle, Washington, United States
AS16509AMAZON-02
2216.239.34.36United States
AS15169GOOGLE
2104.102.41.211Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
6979--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T192A45406F8BE605450F78EC965823E1F54E2F84FF8A6098CF60E8F748F8DF95A906615

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:BGtA8qR6GolpuO5FZ9aKyFNiavBz9JAuwnmmAIIb4XYem2ZPDLBOVo+Qer9j7kTa:Gcj6BqysUxA5rOUUSTimQj1e

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:459941:MKckBTSovABJCSKADAhyYUgS0yMRg9TiC4AQwFFFAAQDgkniMqMFBCAAAU/QhhYgiAIhABJ0fmBODQrgUGjDghJAgRkB6EIQ

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:0000fbfbfbf9fffd
Perceptual Hash:e945123552366bbd
Difference Hash:dd93333333333e39
Wavelet Hash:0000f9d9d9f9cfc5
Color Hash:#d28d2d

Other Hashes

Crop Resistant:dd93333333333e39,dcd893c9c1c6e9c9,1669696969164949,4816c8d4d0681220

Scan History

Scan history not available

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