Security Scan Report: medschool.cuanschutz.edu

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Submitted: Completed: publiccompleted
This website contacted 48 IPs in 2 countries across 29 domains to perform 123 HTTP transactions. The main domain is cuanschutz.edu and was registered 8 years ago.

Submitted URL: https://medschool.cuanschutz.edu

The Cisco Umbrella rank of the primary domain is #313,296 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Official University of Colorado Anschutz School of Medicine site on its own cuanschutz.edu subdomain; self-branded, 8-year-old domain, no forms, no Indicators of Compromise, no malware — legitimate.

Safety Factors (6)
Established domain (8+ years old) on the official university .edu infrastructure
Page brand and domain are consistent (self-branding, not impersonation)
No credential, payment or login forms on the page
No Indicators of Compromise, malware patterns, or network IDS alerts
All JavaScript served from the site's own domain; third-party domains present are standard analytics/advertising (DoubleClick, Siteimprove, Facebook, Twitter, jsDelivr, Google Fonts)
Content classifier identifies the page as education (77% confidence), consistent with a real medical school site
Domain age information unavailable

Details

Page Title

University of Colorado School of Medicine

Scan Type

public

Domain Name Analysis

The domain 'medschool.cuanschutz.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'medschool'. The registrable portion 'cuanschutz' spans 10 characters containing 3 vowels alongside seven consonants. Splitting it apart reveals 2 words: cu, anschutz. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Gy University of Colorado Anschutz Webmail @ | CUAccess @ | Canvas @ | Quick Lir School of Medicine Education ¥ Office of Research ¥ Clinical Care ¥ Departments | Centers | Institutes y Dean's Offic...

Page Load Overview

2.85s
Total Load Time
6.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:8,901 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning77% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
77%
healthcare medical
58%
education
45%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
29192.133.11.1Cloudflare · CDNUnited States
AS209242Cloudflare London, LLC
2172.64.147.188Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.16.180.112Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.18.40.68Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.20.95Google · CDNUnited States
AS15169Google LLC
2142.251.20.97Google · CDNUnited States
AS15169Google LLC
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
2188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2199.60.103.30Cloudflare · CDNUnited States
AS209242Cloudflare London, LLC
2157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
12348--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FE844E1169E020361A1B85C6B57AB724BA2ED00BDA0ECD59F6EE414C6FC5FE47063BCD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:fQYzFWf7MVw5ytvc1Lb3zQg4qVKlvwIg6krrHDEJJO0MT9oXz6RT+nh20kXY:YmlVw5ytvc1mzNnh20/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:376913:ECCREwhAyk45IxgxiIkOMB+CAIRGgMgeUgqYGER8mACdpFGt0iCABcgTENwBCmgUuSkTxJKCQGFIINUQoJyNMkYwYlgDUWAu

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:0000c3c3c3c7ffff
Perceptual Hash:b949471218f53ced
Difference Hash:ddc3072f2b0f4f3d
Wavelet Hash:0000c3c3c3c7f7ff
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data