Security Scan Report: www.vagelos.columbia.edu

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Submitted: Jul 3, 2026, 1:22:39 PMCompleted: Jul 3, 2026, 1:24:12 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is vagelos.columbia.edu and was registered NaN years ago.

Submitted URL: https://www.vagelos.columbia.edu/about-us/columbia-medicine-magazine/archives/fall-winter-2016/alumni-news-notes/alumni-profile-abdul-el-sayed14

The Cisco Umbrella rank of the primary domain is #45,318 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #45,318.

Safety Factors
Well-established domain (ranked #45,318)
No forms or interactive credential elements
No IoC, YARA, or IDS alerts
Domain age information unavailable

Details

Page Title

www.vagelos.columbia.edu

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(82%)

Domain Information

The domain name 'www.vagelos.columbia.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'www.vagelos'. Its registrable label 'columbia' stretches across 8 characters with 4 vowels and four consonants. It segments into 1 word: columbia. Median word length comes out to 8 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.vagelos.columbia.edu/about-us/columbia-medicine-magazine/archives/fall-winter-2016/alumni-news-notes/alumni-profile-abdul-el-sayed14

Page Load Overview

8.09s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:768 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software82% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
82%
documentation technical
58%
adult content
49%
education
45%
government public service
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1146.75.122.228Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
0184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
12--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T170048F77329A063986558498E05B430D9F20B143F50AC9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:F/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsP+2bMy8Oldt:GhoC9JSqzzbs6okSjggcpsm2eAL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:188173:lgSKAMEWAGN+OOdAQIKFgCTKAF2DA6gFBFZATCFIgQCQAMmlFgTcKAEYwjgi4jgwDBo1jAAIgSYMFIWKjQTH+FjKgYM0CYFJ

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:ffdfc7c700383030
Color Hash:#5f2d86

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data