Security Scan Report: tisch.nyu.edu

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Submitted: Nov 23, 2025, 7:12:04 AMCompleted: Nov 23, 2025, 7:14:10 AMpubliccompleted
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Summary

This website contacted 95 IPs in 6 countries across 24 domains to perform 90 HTTP transactions. The main domain is tisch.nyu.edu and was registered NaN years ago.

Submitted URL: https://tisch.nyu.edu/film-tv/alumni/oliver-stone

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 NYU Tisch alumni page with no security concerns.

Safety Factors
Well‑established domain
High Cisco Umbrella ranking
Absence of malicious Indicators of Compromise
No sensitive data collection forms
Domain age information unavailable

Details

Page Title

Oliver Stone

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(58%)

Domain Information

You're looking at domain 'tisch.nyu.edu' on the sponsored educational top-level domain (.edu) and includes subdomain 'tisch'. Its registrable label 'nyu' stretches across 3 characters split between one vowel and two consonants. Tokenizing the label suggests 1 word: nyu. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tisch.nyu.edu/film-tv/alumni/oliver-stone

Page Load Overview

2.75s
Total Load Time
90
HTTP Requests
24
Domains
5.6 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:8,288 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media58% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
58%
education
45%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
26216.165.61.5United States
AS12NYU-DOMAIN
7142.251.140.168United States
AS15169GOOGLE
652.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
6216.239.34.36United States
AS15169GOOGLE
518.213.253.17Ashburn, Virginia, United States
AS14618AMAZON-AES
535.190.43.134United States
AS396982GOOGLE-CLOUD-PLATFORM
43.167.227.13United States
AS16509AMAZON-02
4157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3142.250.186.110United States
AS15169GOOGLE
3157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
9095--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F5839501968D3937412317BA71A8B228915F483BE30A1E82BAFF075D7F97F45191F68E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:g6Z4Y2aGbEebqoKwE7U/9AQuO0nkMwIx8NRnmqjnKjGAoHe9zJ9HBnkmwa+A/SAb:g6+ZiBkmyg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:88744:ZKQIAYhRQDCDKEgO2RQBhkAYGARgIP8IZS1DLAAQKBhsGoCEwIECDFEuQkHOmgWiWQyiEQBhFcBQQQIBo4FgA1HUHJapAASB

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:00ffffffefc7e7ef
Perceptual Hash:b34c4e334c337873
Difference Hash:dd001a204a4c4e0e
Wavelet Hash:00f8c4c6e6c7c7c7
Color Hash:#c6d279

Scan History

Scan history not available

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