Security Scan Report: profhorn.aos.wisc.edu

Submitted: Feb 21, 2026, 9:06:53 AMCompleted: Feb 21, 2026, 9:08:19 AMpubliccompleted
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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 profhorn.aos.wisc.edu and was registered NaN years ago.

Submitted URL: https://profhorn.aos.wisc.edu/wxwise/AckermanKnox/chap14/greenland_icesheet.html

The Cisco Umbrella rank of the primary domain is #34,619 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

profhorn.aos.wisc.edu

Scan Type

public

Language

🇺🇸

English

(57% confidence)

Category

education

(45%)

Domain Information

The domain 'profhorn.aos.wisc.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'profhorn.aos'. The core label 'wisc' covers 4 characters with 1 vowel and three consonants. Splitting it apart reveals two words: wis, c. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://profhorn.aos.wisc.edu/wxwise/AckermanKnox/chap14/greenland_icesheet.html

Page Load Overview

2.08s
Total Load Time
4
HTTP Requests
1
Domains
48 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:57%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:57%
Script Type:Latin
Text Length:2,605 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: static
Method: ml+structural

All Detected Categories

education
45%
documentation technical
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4144.92.130.65Madison, Wisconsin, United States
AS59University of Wisconsin Madison
41--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T140048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:QfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszy2bMy8OldX:bhoC9JSqzzbs6o3Sj3gcrsO2eAF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184646:IgsoTAAgICZKCkQ8iEHwJgjZxANIAI5w4UAklUIQgE6dgaC06BGgTaxCjAgjAG6KiDnCCBDQKAYmYJwAAEhUEASIQBDBOGww

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:ffcfc3c3ffffffff
Perceptual Hash:b131cccccc733366
Difference Hash:00181c1c00000000
Wavelet Hash:ffdfc3c300000000
Color Hash:#d279a4

Other Hashes

Crop Resistant:00181c1c00000000

Scan History

Scan history not available

Unable to load historical scan data