Summary
This website contacted 10 IPs in 3 countries across 4 domains to perform 18 HTTP transactions. The main domain is its.law.nyu.edu and was registered NaN years ago.
Submitted URL: https://its.law.nyu.edu/facultyprofiles/index.cfm?fuseaction=profile.overview&personid=31740
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate NYU Law faculty page with no security concerns.
Safety Factors
Details
Page Title
Andrew David Friedman - Overview | NYU School of Law
Scan Type
public
Language
English
Category
education
(45%)Domain Information
The domain name 'its.law.nyu.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'its.law'. Its registrable label 'nyu' stretches across 3 characters split between one vowel and 2 consonants. Tokenizing the label suggests 1 word: nyu. Median word length is 3 characters. 'nyu' most strongly signals Sinhala. Secondary signals appear in Bosnian and Czech. Taken together, it feels Sinhala with single-word simplicity.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 14 | 128.122.159.246 | Hackensack, New Jersey, United States | AS12NYU-DOMAIN |
| 9 | 142.250.186.40 | United States | AS15169GOOGLE |
| 1 | 142.250.186.104 | United States | AS15169GOOGLE |
| 1 | 23.34.74.85 | Palermo, Sicily, Italy | AS6762TELECOM ITALIA SPARKLE S.p.A. |
| 1 | 216.239.32.36 | United States | AS15169GOOGLE |
| 1 | 23.212.207.100 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 2a00:1450:4001:80f::2008 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 1 | 2001:4860:4802:34::36 | United States | AS15169GOOGLE |
| 1 | 216.239.34.36 | United States | AS15169GOOGLE |
| 1 | 2001:4860:4802:32::36 | United States | AS15169GOOGLE |
| 18 | 10 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
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