Security Scan Report: pages.stern.nyu.edu

Site favicon
Submitted: Dec 23, 2025, 4:18:53 PMCompleted: Dec 23, 2025, 4:19:32 PMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is pages.stern.nyu.edu and was registered NaN years ago.

Submitted URL: https://pages.stern.nyu.edu/~nroubini/bci/gdp.html

The Cisco Umbrella rank of the primary domain is #64,668 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate educational content with no security concerns.

Safety Factors
Established university subdomain
Long domain age
High Cisco Umbrella ranking
Domain age information unavailable

Details

Page Title

Gross Domestic Product (GDP)

Scan Type

public

Language

🇺🇸

English

(55% confidence)

Category

download file sharing

(48%)

Domain Information

The domain name 'pages.stern.nyu.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'pages.stern'. The core label 'nyu' covers 3 characters with one vowel and 2 consonants. Splitting it apart reveals 1 word: nyu. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pages.stern.nyu.edu/~nroubini/bci/gdp.html

Page Load Overview

7.37s
Total Load Time
3
HTTP Requests
2
Domains
12 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:55%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:55%
Script Type:Latin
Text Length:4,903 chars
Detector Agreement:100%

Website Classification

Primary Category

download file sharing48% confidence
Type: static
Method: ml+structural

All Detected Categories

download file sharing
48%
education
45%
government public service
44%
news media journalism
32%
finance banking
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.190.63.222Germany
AS47846SEDO GmbH
1128.122.198.17New York, New York, United States
AS12NYU-DOMAIN
32--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1460283B986D03533C1430241B19D63EF5F515EE06280CB8AD43EF9D96AC5D6C522E6CF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:XSXKzCbl8fKe7dd1dBX066PWegwnXEUCLkecyEziKLmcxr+XyXKLXJvYfOelcUgV:kFYDBQnX2imcuyGJ8gbJZqFexaM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8729:xSMpCAQQQJLAZ4pgAVQtCAg10pBCK8NAEpiAhfA4AAZQgDgCkFELYAOKDwQKwQABBcwJDoKCRYIFQpANiZouqcwM4QOoaFAQ

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:7fffff0f3f370300
Perceptual Hash:85d53d8307bf41c3
Difference Hash:e624006ce9c7df8d
Wavelet Hash:37ffff0f0b050300
Color Hash:#78931f

Other Hashes

Crop Resistant:e624006ce9c7df8d

Scan History

Scan history not available

Unable to load historical scan data