Security Scan Report: gocolumbia.edu

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Submitted: Oct 10, 2025, 5:21:47 PMCompleted: Oct 10, 2025, 5:25:04 PMpubliccompleted
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Summary

This website contacted 52 IPs in 2 countries across 11 domains to perform 67 HTTP transactions. The main domain is gocolumbia.edu and was registered NaN years ago.

Submitted URL: https://gocolumbia.edu/index.html

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate college website with no security concerns.

Safety Factors
Established domain age
Official college branding matches domain
Only standard search/contact forms present
No malicious Indicators of Compromise detected
External links lead to legitimate institutional sites
Domain age information unavailable

Details

Page Title

Home - Columbia College

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

Domain 'gocolumbia.edu' uses the sponsored educational top-level domain (.edu) and has no subdomain. Count 10 characters in 'gocolumbia' with five vowels and 5 consonants. Segmentation suggests two words: go, columbia. Median word length comes out to 5 characters. The linguistic tilt is Polish for 'go'. You will also see it in Chinese (Pinyin) and English contexts. Taken together, it feels Polish.

Screenshot

Security scan screenshot of https://gocolumbia.edu/index.html

Page Load Overview

3.52s
Total Load Time
67
HTTP Requests
11
Domains
19.9 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
Text Length:3,398 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education
45%
education learning
44%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4752.73.2.219Ashburn, Virginia, United States
AS14618AMAZON-AES
513.35.58.44United States
AS16509AMAZON-02
434.208.143.118Boardman, Oregon, United States
AS16509AMAZON-02
3216.58.206.42United States
AS15169GOOGLE
3142.250.186.131United States
AS15169GOOGLE
1216.239.34.36United States
AS15169GOOGLE
134.168.224.78The Dalles, Oregon, United States
AS396982GOOGLE-CLOUD-PLATFORM
134.215.72.53Boardman, Oregon, United States
AS16509AMAZON-02
118.66.147.58United States
AS16509AMAZON-02
118.173.205.21United States
AS16509AMAZON-02
6752--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EA63C57264E0223B413389D1668C2B1D5D36E953CD130E09F7AD4A986FC3FD5AA9732B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:LMCMPMCMfMCM8MCMGMCM/MCMtMCMAsVMJI/qgII27jLxUOnmtvGJZFgZx:z7hUUmtvGJZFgZx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:73198:BgDogQSU8gAQAJ5SgnqQXCKjAsORQGwEIRZHBjQwAKRV1JCLYQaQAYRpRBdiZFSSDwi0hChQRGyg3EMIKKURcACwZADwCLtM

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:81270100074f07ff
Perceptual Hash:aa6bcfd454555838
Difference Hash:2bcf1f8fbf9d5d9d
Wavelet Hash:81ff0301074f07ff
Color Hash:#783a4c

Scan History

Scan history not available

Unable to load historical scan data