Security Scan Report: icahn.mssm.edu

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Submitted: Feb 23, 2026, 6:50:24 AMCompleted: Feb 23, 2026, 6:52:13 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 icahn.mssm.edu and was registered NaN years ago.

Submitted URL: https://icahn.mssm.edu/education/phd/neuroscience/alumni

The Cisco Umbrella rank of the primary domain is #141,308 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

icahn.mssm.edu

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(77%)

Domain Information

You're looking at domain 'icahn.mssm.edu' on the sponsored educational top-level domain (.edu) and includes subdomain 'icahn'. Its registrable label 'mssm' stretches across 4 characters holding 0 vowels versus 4 consonants. Breaking it apart gives two words: ms, sm. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://icahn.mssm.edu/education/phd/neuroscience/alumni

Page Load Overview

12.86s
Total Load Time
88
HTTP Requests
16
Domains
2.1 MB
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-US
Text Length:19,021 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

education learning
77%
healthcare medical
56%
education
45%
government public service
41%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8823.45.109.100Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
881--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15F048F773296063986558498E05B430D9F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:kfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz82bMy8Oldc:XhoC9JSqzzbs6o3Sj3gcrsY2eA2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184560:jaIaGIBwBAgbNAEAFBCxAMwQCkDqVICwwawtBkplSpI3XcJYdEthCEoF1gCoCDSACpwEUQiAjBoFFDRA4B0QKmgSACggYAEY

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:ffcfc3c7ffffffff
Perceptual Hash:b131cccccc673333
Difference Hash:00181c1c00000000
Wavelet Hash:3f1f0303f0f0f0f0
Color Hash:#71862d

Other Hashes

Crop Resistant:00181c1c00000000

Scan History

Scan history not available

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