Security Scan Report: www.unmc.edu

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Submitted: Dec 8, 2025, 3:03:59 PMCompleted: Dec 8, 2025, 3:05:41 PMpubliccompleted
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Summary

This website contacted 34 IPs in 4 countries across 15 domains to perform 45 HTTP transactions. The main domain is unmc.edu and was registered NaN years ago.

Submitted URL: https://www.unmc.edu/healthsecurity/transmission/2025/01/14/it-feels-like-everyone-has-a-stomach-bug-a-new-norovirus-strain-might-be-to-blame-cdc-data-suggests-2/

The Cisco Umbrella rank of the primary domain is #271,084 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page appears legitimate with no security concerns.

Safety Factors
Well‑established domain age (>35 years)
Domain hosted on standard web server (not IPFS or cloud storage)
Low ranking does not indicate malicious activity for an institutional site
Domain age information unavailable

Details

Page Title

It feels like everyone has a stomach bug. A new norovirus strain might be to blame, CDC data suggests | The Transmission | University of Nebraska Medical Center

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(52%)

Domain Information

The domain name 'www.unmc.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'www'. The registrable portion 'unmc' spans 4 characters split between one vowel and 3 consonants. Splitting it apart reveals two words: un, mc. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.unmc.edu/healthsecurity/transmission/2025/01/14/it-feels-like-everyone-has-a-stomach-bug-a-new-norovirus-strain-might-be-to-blame-cdc-data-suggests-2/

Page Load Overview

22.23s
Total Load Time
45
HTTP Requests
15
Domains
823 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:7,416 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical52% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
52%
education
45%
government public service
42%
news/blog
35%
news
15%

Detected Features

Search
Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12216.239.32.36United States
AS15169GOOGLE
152.58.187.2Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
1192.178.170.95United States
AS15169GOOGLE
1192.0.76.3San Francisco, California, United States
AS2635AUTOMATTIC
1216.58.206.40United States
AS15169GOOGLE
1157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
1157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
174.125.133.155United States
AS15169GOOGLE
1142.250.185.78United States
AS15169GOOGLE
1188.114.96.3United States
AS13335CLOUDFLARENET
4534--

Detected Technologies8

JQueryv3.7.1
100%
100%
50%
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T182834AE283BC62B5824E87D9DE727329252B8437E9412558F1FE4208BFC6DEE941351E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:CIO2apS0JJz8dfFuhjqTCJtONS8aL7fv2kL4doVmgVQ0dJp39:CdJM0J6csCJkNsf+kL4iMWQe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:86864:OxCB0wDhMwgpAzIGIpDaIxMC6NQAGcSQABAmJHAAdmEZJAkgDIwVJ6YFwgQKBkDbgjAMQGgaKFZiAbaJQifEEgakCCIggE0m

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:ffffc3ffffffff00
Perceptual Hash:bf94029946be2ec3
Difference Hash:f4382f2f6b3a3b0b
Wavelet Hash:16ff8083ff8f8700
Color Hash:#783a62

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data