Security Scan Report: www.engineering.columbia.edu

Submitted: Nov 11, 2025, 1:35:13 PMCompleted: Nov 11, 2025, 1:35:39 PMpubliccompleted
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Summary

This website contacted 8 IPs in 0 countries across 2 domains to perform 12 HTTP transactions. The main domain is engineering.columbia.edu.

Submitted URL: https://www.engineering.columbia.edu/about/news/metas-yann-lecun-asks-how-ais-will-match-and-exceed-human-level-intelligence

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Hosted on a well‑known university domain
No suspicious redirects or external links
Page content could not be fetched but no phishing or malware indicators are present
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by Cloudflare bot protection. Our scanner was challenged or blocked during access.

Page Title

Just a moment...

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(67%)

Domain Information

The domain name 'www.engineering.columbia.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'www.engineering'. Its registrable label 'columbia' stretches across 8 characters containing 4 vowels alongside 4 consonants. Tokenizing the label suggests one word: columbia. Average segment length settles at eight characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.engineering.columbia.edu/about/news/metas-yann-lecun-asks-how-ais-will-match-and-exceed-human-level-intelligence

Page Load Overview

1.55s
Total Load Time
12
HTTP Requests
2
Domains
1 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-US
Text Length:377 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software67% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
67%
education
45%
documentation technical
40%
news
15%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5162.159.128.65UnknownUnknown
1162.159.138.64UnknownUnknown
1104.18.95.41UnknownUnknown
1104.18.94.41UnknownUnknown
12606:4700:7::a29f:8041UnknownUnknown
12606:4700:7::a29f:8a40UnknownUnknown
12606:4700::6812:5f29UnknownUnknown
12606:4700::6812:5e29UnknownUnknown
128--

Content Similarity HashesFor malware variant detection

Image Hashes

Perceptual Hashes

Average Hash:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data